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        <description>Welcome to the Heart Rate Variability Podcast where we discuss the research and applications of heart rate variability.</description>
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                <itunes:subtitle>Welcome to the Heart Rate Variability Podcast where we discuss the research and applications of heart rate variability.</itunes:subtitle>
        <itunes:author>Optimal HRV</itunes:author>
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        <itunes:summary>Welcome to the Heart Rate Variability Podcast where we discuss the research and applications of heart rate variability.</itunes:summary>
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                    <![CDATA[Stephan Streuber talks HRV and Physiological Synchrony in Virtual Reality]]>
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                <pubDate>Thu, 23 Apr 2026 20:56:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
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                                <description>
                                            <![CDATA[<p>In this episode, Stephan Streuber joins Matt Bennett to discuss the role heart rate variability played in his recent research and article <em>Remote collaboration in virtual reality induces physiological synchrony comparable to face-to-face interaction.</em></p>
<p>Dr. Stephan Streuber holds a Diploma in Media Informatics from Harz University of Applied Sciences and a PhD in Neural and Behavioral Sciences from the Max Planck Institute for Biological Cybernetics in Tübingen, Germany (2013), supported by a Research Fellowship from the Max Planck Society. He later held research positions at the Max Planck Institute for Intelligent Systems and the Brain Mind Institute at EPFL in Lausanne, Switzerland.</p>
<p>In 2018, he joined the University of Konstanz as an Assistant Professor for Virtual Reality and Collective Behavior, a role he held until 2021. Since then, he has been a Full Professor of Usability Engineering and Interaction Design in Visual Computing at Coburg University of Applied Sciences and Arts, where he leads the Virtual Environments and Social Interaction Lab (socialVRlab.com).</p>
<p>His main research aim is to understand the mechanisms behind social interactions. To do this, he creates immersive multi-user virtual environments with realistic avatars and AI-powered agents, facilitating the study of group coordination, synchronization, and emotion contagion. His work also investigates body perception and representation, with clinical applications in eating disorders, stroke rehabilitation, and XR-based mental health research and treatment.</p>]]>
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                    <![CDATA[In this episode, Stephan Streuber joins Matt Bennett to discuss the role heart rate variability played in his recent research and article Remote collaboration in virtual reality induces physiological synchrony comparable to face-to-face interaction.
Dr. Stephan Streuber holds a Diploma in Media Informatics from Harz University of Applied Sciences and a PhD in Neural and Behavioral Sciences from the Max Planck Institute for Biological Cybernetics in Tübingen, Germany (2013), supported by a Research Fellowship from the Max Planck Society. He later held research positions at the Max Planck Institute for Intelligent Systems and the Brain Mind Institute at EPFL in Lausanne, Switzerland.
In 2018, he joined the University of Konstanz as an Assistant Professor for Virtual Reality and Collective Behavior, a role he held until 2021. Since then, he has been a Full Professor of Usability Engineering and Interaction Design in Visual Computing at Coburg University of Applied Sciences and Arts, where he leads the Virtual Environments and Social Interaction Lab (socialVRlab.com).
His main research aim is to understand the mechanisms behind social interactions. To do this, he creates immersive multi-user virtual environments with realistic avatars and AI-powered agents, facilitating the study of group coordination, synchronization, and emotion contagion. His work also investigates body perception and representation, with clinical applications in eating disorders, stroke rehabilitation, and XR-based mental health research and treatment.]]>
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                    <![CDATA[Stephan Streuber talks HRV and Physiological Synchrony in Virtual Reality]]>
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                    <![CDATA[<p>In this episode, Stephan Streuber joins Matt Bennett to discuss the role heart rate variability played in his recent research and article <em>Remote collaboration in virtual reality induces physiological synchrony comparable to face-to-face interaction.</em></p>
<p>Dr. Stephan Streuber holds a Diploma in Media Informatics from Harz University of Applied Sciences and a PhD in Neural and Behavioral Sciences from the Max Planck Institute for Biological Cybernetics in Tübingen, Germany (2013), supported by a Research Fellowship from the Max Planck Society. He later held research positions at the Max Planck Institute for Intelligent Systems and the Brain Mind Institute at EPFL in Lausanne, Switzerland.</p>
<p>In 2018, he joined the University of Konstanz as an Assistant Professor for Virtual Reality and Collective Behavior, a role he held until 2021. Since then, he has been a Full Professor of Usability Engineering and Interaction Design in Visual Computing at Coburg University of Applied Sciences and Arts, where he leads the Virtual Environments and Social Interaction Lab (socialVRlab.com).</p>
<p>His main research aim is to understand the mechanisms behind social interactions. To do this, he creates immersive multi-user virtual environments with realistic avatars and AI-powered agents, facilitating the study of group coordination, synchronization, and emotion contagion. His work also investigates body perception and representation, with clinical applications in eating disorders, stroke rehabilitation, and XR-based mental health research and treatment.</p>]]>
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                    <![CDATA[In this episode, Stephan Streuber joins Matt Bennett to discuss the role heart rate variability played in his recent research and article Remote collaboration in virtual reality induces physiological synchrony comparable to face-to-face interaction.
Dr. Stephan Streuber holds a Diploma in Media Informatics from Harz University of Applied Sciences and a PhD in Neural and Behavioral Sciences from the Max Planck Institute for Biological Cybernetics in Tübingen, Germany (2013), supported by a Research Fellowship from the Max Planck Society. He later held research positions at the Max Planck Institute for Intelligent Systems and the Brain Mind Institute at EPFL in Lausanne, Switzerland.
In 2018, he joined the University of Konstanz as an Assistant Professor for Virtual Reality and Collective Behavior, a role he held until 2021. Since then, he has been a Full Professor of Usability Engineering and Interaction Design in Visual Computing at Coburg University of Applied Sciences and Arts, where he leads the Virtual Environments and Social Interaction Lab (socialVRlab.com).
His main research aim is to understand the mechanisms behind social interactions. To do this, he creates immersive multi-user virtual environments with realistic avatars and AI-powered agents, facilitating the study of group coordination, synchronization, and emotion contagion. His work also investigates body perception and representation, with clinical applications in eating disorders, stroke rehabilitation, and XR-based mental health research and treatment.]]>
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                    <![CDATA[This Week In HRV - Episode 34]]>
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                <pubDate>Tue, 21 Apr 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
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                                <description>
                                            <![CDATA[<p>Heart rate variability science is moving in several directions at once this week — deeper into neural mechanisms, broader across clinical populations, and more precise in its analytical tools. Episode 34 covers six studies ranging from a new graph-theory method for detecting sex differences in resting autonomic activity to the neural pathway behind a side effect affecting millions of patients on GLP-1 medications to what HRV can and cannot tell us about cardiovascular fitness in high-risk individuals. Whether you're a clinician, researcher, or practitioner, this episode has something to sharpen your thinking.</p>
<p><b>1. When the Average Hides the Signal: Graph Theory and Sex Differences in HRV</b></p>
<p><b>Publication: </b>Biology of Sex Differences</p>
<p><b>Authors: </b>Lin Sørensen, Elisabet Kvadsheim, Julian Koenig, Julian F Thayer, DeWayne P Williams, Hayley Jessica MacDonald, Ryan Douglas McCardle, Daniel Wollschlaeger, Ole Bernt Fasmer, Berge Osnes</p>
<p><b>KEY FINDING:</b></p>
<p>In 269 healthy young adults, a similarity graph theory algorithm detected significant sex differences in nonlinear inter-beat interval variability — males showing higher graph metric values, indicating lower dynamic IBI fluctuations — while standard measures lnRMSSD and lnHF-HRV failed to distinguish sexes when used alone. The odds ratio for the graph metric predicting sex was 2.78 (95% CI: 1.32–5.86).</p>
<p><b>SIGNIFICANCE:</b></p>
<p>Conventional averaged HRV metrics may systematically underdetect sex-based autonomic differences that exist in the rapid, nonlinear structure of beat-to-beat activity. Nonlinear graph-theoretic approaches offer a complementary analytical lens that could refine how sex is accounted for in autonomic research and in clinical HRV norms.</p>
<p><b>→ Read full study: </b><a href="https://www.researchgate.net/publication/403769793_Capturing_sex_differences_in_spontaneous_autonomic_fluctuations_of_resting_heart_rate_using_a_similarity_graph_theory_approach">https://www.researchgate.net/publication/403769793_Capturing_sex_differences_in_spontaneous_autonomic_fluctuations_of_resting_heart_rate_using_a_similarity_graph_theory_approach</a></p>
<p><b>2. Why Your GLP-1 Medication Raises Your Heart Rate: A Neural Explanation</b></p>
<p><b>Publication: </b>Hypertension Research</p>
<p><b>Authors: </b>Yui Koyanagi, Kamon Iigaya, Keiko Ikeda, Hiroshi Onimaru, Masahiko Izumizaki</p>
<p><b>KEY FINDING:</b></p>
<p>Exendin-4, a major GLP-1 receptor agonist, increased sympathetic nerve activity and produced membrane depolarization in preganglionic neurons of the spinal cord and neurons in the rostral ventrolateral medulla in vitro. The effect was blocked by a GLP-1 receptor antagonist, confirming receptor-mediated sympathetic excitation at both spinal and brainstem levels.</p>
<p><b>SIGNIFICANCE:</b></p>
<p>This study provides the clearest mechanistic evidence to date that GLP-1 receptor agonists can directly excite sympathetic neurons — offering a plausible neural explanation for the heart rate increases commonly observed in patients on this medication class. For practitioners monitoring autonomic function in patients on GLP-1 therapies, this finding provides important physiological context.</p>
<p><b>→ Read full study: </b><a href="https://www.nature.com/articles/s41440-026-02633-5">https://www.nature.com/articles/s41440-026-02633-5</a></p>
<p><b>3. Two Systems Failing Together: HRV and Nerve Conduction in Early Diabetes</b></p>
<p><b>Publication: </b>Cureus</p>
<p><b>Authors: </b>Anwar H. Siddiqui, Md S. Alam, Ahmad Faraz, Nazia Tauheed, Hamid Ashraf, SAA Rizvi</p>
<p><b>KEY FINDING:</b></p>
<p>In 100 patients with type 2 diabetes of less than 5 years' duration, compared with 100 matched controls, parasympathetic HRV indices and peripheral nerve amplitudes were both significantly reduced in the diabetes group, with the strongest single correlation between high-frequency HRV power and sural SNAP amplitude (r = 0.62). Multiv...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Heart rate variability science is moving in several directions at once this week — deeper into neural mechanisms, broader across clinical populations, and more precise in its analytical tools. Episode 34 covers six studies ranging from a new graph-theory method for detecting sex differences in resting autonomic activity to the neural pathway behind a side effect affecting millions of patients on GLP-1 medications to what HRV can and cannot tell us about cardiovascular fitness in high-risk individuals. Whether you're a clinician, researcher, or practitioner, this episode has something to sharpen your thinking.
1. When the Average Hides the Signal: Graph Theory and Sex Differences in HRV
Publication: Biology of Sex Differences
Authors: Lin Sørensen, Elisabet Kvadsheim, Julian Koenig, Julian F Thayer, DeWayne P Williams, Hayley Jessica MacDonald, Ryan Douglas McCardle, Daniel Wollschlaeger, Ole Bernt Fasmer, Berge Osnes
KEY FINDING:
In 269 healthy young adults, a similarity graph theory algorithm detected significant sex differences in nonlinear inter-beat interval variability — males showing higher graph metric values, indicating lower dynamic IBI fluctuations — while standard measures lnRMSSD and lnHF-HRV failed to distinguish sexes when used alone. The odds ratio for the graph metric predicting sex was 2.78 (95% CI: 1.32–5.86).
SIGNIFICANCE:
Conventional averaged HRV metrics may systematically underdetect sex-based autonomic differences that exist in the rapid, nonlinear structure of beat-to-beat activity. Nonlinear graph-theoretic approaches offer a complementary analytical lens that could refine how sex is accounted for in autonomic research and in clinical HRV norms.
→ Read full study: https://www.researchgate.net/publication/403769793_Capturing_sex_differences_in_spontaneous_autonomic_fluctuations_of_resting_heart_rate_using_a_similarity_graph_theory_approach
2. Why Your GLP-1 Medication Raises Your Heart Rate: A Neural Explanation
Publication: Hypertension Research
Authors: Yui Koyanagi, Kamon Iigaya, Keiko Ikeda, Hiroshi Onimaru, Masahiko Izumizaki
KEY FINDING:
Exendin-4, a major GLP-1 receptor agonist, increased sympathetic nerve activity and produced membrane depolarization in preganglionic neurons of the spinal cord and neurons in the rostral ventrolateral medulla in vitro. The effect was blocked by a GLP-1 receptor antagonist, confirming receptor-mediated sympathetic excitation at both spinal and brainstem levels.
SIGNIFICANCE:
This study provides the clearest mechanistic evidence to date that GLP-1 receptor agonists can directly excite sympathetic neurons — offering a plausible neural explanation for the heart rate increases commonly observed in patients on this medication class. For practitioners monitoring autonomic function in patients on GLP-1 therapies, this finding provides important physiological context.
→ Read full study: https://www.nature.com/articles/s41440-026-02633-5
3. Two Systems Failing Together: HRV and Nerve Conduction in Early Diabetes
Publication: Cureus
Authors: Anwar H. Siddiqui, Md S. Alam, Ahmad Faraz, Nazia Tauheed, Hamid Ashraf, SAA Rizvi
KEY FINDING:
In 100 patients with type 2 diabetes of less than 5 years' duration, compared with 100 matched controls, parasympathetic HRV indices and peripheral nerve amplitudes were both significantly reduced in the diabetes group, with the strongest single correlation between high-frequency HRV power and sural SNAP amplitude (r = 0.62). Multiv...]]>
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                    <![CDATA[This Week In HRV - Episode 34]]>
                </itunes:title>
                                    <itunes:episode>34</itunes:episode>
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                    <![CDATA[<p>Heart rate variability science is moving in several directions at once this week — deeper into neural mechanisms, broader across clinical populations, and more precise in its analytical tools. Episode 34 covers six studies ranging from a new graph-theory method for detecting sex differences in resting autonomic activity to the neural pathway behind a side effect affecting millions of patients on GLP-1 medications to what HRV can and cannot tell us about cardiovascular fitness in high-risk individuals. Whether you're a clinician, researcher, or practitioner, this episode has something to sharpen your thinking.</p>
<p><b>1. When the Average Hides the Signal: Graph Theory and Sex Differences in HRV</b></p>
<p><b>Publication: </b>Biology of Sex Differences</p>
<p><b>Authors: </b>Lin Sørensen, Elisabet Kvadsheim, Julian Koenig, Julian F Thayer, DeWayne P Williams, Hayley Jessica MacDonald, Ryan Douglas McCardle, Daniel Wollschlaeger, Ole Bernt Fasmer, Berge Osnes</p>
<p><b>KEY FINDING:</b></p>
<p>In 269 healthy young adults, a similarity graph theory algorithm detected significant sex differences in nonlinear inter-beat interval variability — males showing higher graph metric values, indicating lower dynamic IBI fluctuations — while standard measures lnRMSSD and lnHF-HRV failed to distinguish sexes when used alone. The odds ratio for the graph metric predicting sex was 2.78 (95% CI: 1.32–5.86).</p>
<p><b>SIGNIFICANCE:</b></p>
<p>Conventional averaged HRV metrics may systematically underdetect sex-based autonomic differences that exist in the rapid, nonlinear structure of beat-to-beat activity. Nonlinear graph-theoretic approaches offer a complementary analytical lens that could refine how sex is accounted for in autonomic research and in clinical HRV norms.</p>
<p><b>→ Read full study: </b><a href="https://www.researchgate.net/publication/403769793_Capturing_sex_differences_in_spontaneous_autonomic_fluctuations_of_resting_heart_rate_using_a_similarity_graph_theory_approach">https://www.researchgate.net/publication/403769793_Capturing_sex_differences_in_spontaneous_autonomic_fluctuations_of_resting_heart_rate_using_a_similarity_graph_theory_approach</a></p>
<p><b>2. Why Your GLP-1 Medication Raises Your Heart Rate: A Neural Explanation</b></p>
<p><b>Publication: </b>Hypertension Research</p>
<p><b>Authors: </b>Yui Koyanagi, Kamon Iigaya, Keiko Ikeda, Hiroshi Onimaru, Masahiko Izumizaki</p>
<p><b>KEY FINDING:</b></p>
<p>Exendin-4, a major GLP-1 receptor agonist, increased sympathetic nerve activity and produced membrane depolarization in preganglionic neurons of the spinal cord and neurons in the rostral ventrolateral medulla in vitro. The effect was blocked by a GLP-1 receptor antagonist, confirming receptor-mediated sympathetic excitation at both spinal and brainstem levels.</p>
<p><b>SIGNIFICANCE:</b></p>
<p>This study provides the clearest mechanistic evidence to date that GLP-1 receptor agonists can directly excite sympathetic neurons — offering a plausible neural explanation for the heart rate increases commonly observed in patients on this medication class. For practitioners monitoring autonomic function in patients on GLP-1 therapies, this finding provides important physiological context.</p>
<p><b>→ Read full study: </b><a href="https://www.nature.com/articles/s41440-026-02633-5">https://www.nature.com/articles/s41440-026-02633-5</a></p>
<p><b>3. Two Systems Failing Together: HRV and Nerve Conduction in Early Diabetes</b></p>
<p><b>Publication: </b>Cureus</p>
<p><b>Authors: </b>Anwar H. Siddiqui, Md S. Alam, Ahmad Faraz, Nazia Tauheed, Hamid Ashraf, SAA Rizvi</p>
<p><b>KEY FINDING:</b></p>
<p>In 100 patients with type 2 diabetes of less than 5 years' duration, compared with 100 matched controls, parasympathetic HRV indices and peripheral nerve amplitudes were both significantly reduced in the diabetes group, with the strongest single correlation between high-frequency HRV power and sural SNAP amplitude (r = 0.62). Multivariable regression identified higher HbA1c and longer diabetes duration — not age, sex, or BMI — as the independent predictors of HRV impairment.</p>
<p><b>SIGNIFICANCE:</b></p>
<p>Cardiac autonomic and peripheral nerve dysfunction appear to develop in parallel in early-stage type 2 diabetes, sharing common metabolic drivers. This cross-sectional study cannot establish causality, but the findings support the potential value of combined HRV and nerve conduction assessment for detecting subclinical neuropathy early, when metabolic intervention may still alter the trajectory.</p>
<p><b>→ Read full study: </b><a href="https://www.cureus.com/articles/466542-association-between-cardiac-autonomic-function-and-peripheral-nerve-conduction-abnormalities-in-type-2-diabetes-mellitus-a-cross-sectional-study#!/">https://www.cureus.com/articles/466542-association-between-cardiac-autonomic-function-and-peripheral-nerve-conduction-abnormalities-in-type-2-diabetes-mellitus-a-cross-sectional-study#!/</a></p>
<p><b>4. Can HRV Predict an Autonomic Storm? Early Evidence from Brain Injury Patients</b></p>
<p><b>Publication: </b>Clinical Autonomic Research</p>
<p><b>Authors: </b>Francesco Riganello, Maria D. Cortese, Martina Vatrano, Lucia F. Lucca, Maria E. Pugliese, Maria Ursino, Elio Leto, Antonio Cerasa, Nicholas Schiff, Andrea Soddu</p>
<p><b>KEY FINDING:</b></p>
<p>In six patients with disorders of consciousness, HRV analysis preceding paroxysmal sympathetic hyperactivity episodes showed reduced entropy complexity and decreased power in both low- and high-frequency bands, alongside an elevated VLF/(LF+HF) ratio. A support vector machine classifier achieved 67% sensitivity, 100% specificity, and 83% balanced accuracy in predicting episode onset ten minutes in advance.</p>
<p><b>SIGNIFICANCE:</b></p>
<p>This proof-of-concept study demonstrates that HRV signals carry detectable autonomic signatures before paroxysmal sympathetic hyperactivity episodes occur. The six-patient sample and the absence of external validation require caution in interpreting these performance figures, but the work establishes a meaningful foundation for investigating machine learning-based predictive monitoring in this high-stakes clinical context.</p>
<p><b>→ Read full study: </b><a href="https://link.springer.com/article/10.1007/s10286-025-01175-z">https://link.springer.com/article/10.1007/s10286-025-01175-z</a></p>
<p></p>
<p><b>5. The Quiet Signal: VLF Heart Rate Variability as an Inflammatory Marker in Healthy Adults</b></p>
<p><b>Publication: </b>Autonomic Neuroscience</p>
<p><b>Authors: </b>Usui Harunobu</p>
<p><b>KEY FINDING:</b></p>
<p>In 26 healthy young adults using a multiday 24-hour HRV monitoring protocol, LnVLF showed a strong positive association with LnIL-6 (Bayes factor = 18.61), with 95% credible intervals entirely above zero. Neither the HF nor LF components showed evidence of association with either IL-6 or hs-CRP. LnVLF remained an independent predictor of LnIL-6 after adjusting for BMI and daily step count.</p>
<p><b>SIGNIFICANCE:</b></p>
<p>This is the first study to establish a robust association between VLF heart rate variability and interleukin-6 specifically in healthy young adults using a rigorous Bayesian and multiday measurement framework. The findings position VLF as a potentially useful noninvasive indicator of low-grade inflammatory burden in healthy populations — a direction that warrants further replication in larger, more diverse samples.</p>
<p><b>→ Read full study: </b><a href="https://www.sciencedirect.com/science/article/abs/pii/S156607022600041X">https://www.sciencedirect.com/science/article/abs/pii/S156607022600041X</a></p>
<p></p>
<p><b>6. Fit Heart, Variable Heart: HRV and VO2 Max in High-Risk Patients</b></p>
<p><b>Publication: </b>Acta Cardiologica Sinica</p>
<p><b>Authors: </b>Selin Cilli Hayiroğlu, Mehmet Uzun</p>
<p><b>KEY FINDING:</b></p>
<p>In 311 asymptomatic individuals with high cardiovascular risk, VO2 max correlated significantly with total power, LF, HF, rMSSD, and SDNN index after age adjustment, with the strongest association for HF (rho = 0.360, p &lt; 0.001). VO2 max independently predicted 5-year major adverse cardiac events (HR 0.833, 95% CI: 0.783–0.887), while none of the HRV parameters showed independent prognostic significance in the adjusted model.</p>
<p><b>SIGNIFICANCE:</b></p>
<p>This cross-sectional, retrospective study demonstrates that HRV and aerobic fitness are meaningfully correlated in high-risk asymptomatic patients, with parasympathetic indices most strongly aligned with VO2 max. The dissociation between HRV's correlation with fitness and its lack of independent prognostic value suggests HRV functions as a parallel marker of autonomic regulation rather than a mediator of cardiovascular risk — an important distinction for how practitioners interpret and apply HRV data in this group.</p>
<p><b>→ Read full study: </b><a href="https://doi.org/10.6515/ACS.202603_42(2).20250725A">https://doi.org/10.6515/ACS.202603_42(2).20250725A</a></p>
<p><b>Key Themes</b></p>
<ul>
<li><b> </b>Standard averaged HRV metrics may miss sex-based autonomic differences that live in the rapid, nonlinear structure of beat-to-beat activity — nonlinear analytical tools are increasingly necessary</li>
<li><b> </b>GLP-1 receptor agonists appear to excite sympathetic neurons directly at both spinal and brainstem levels, providing a plausible neural mechanism for the elevated heart rate widely observed in clinical practice</li>
<li><b> </b>In early type 2 diabetes, cardiac autonomic and peripheral nerve dysfunction develop in parallel and share metabolic predictors — a combined neurophysiological assessment may improve early detection</li>
<li><b> </b>Machine learning applied to HRV data shows proof-of-concept promise for predicting paroxysmal sympathetic hyperactivity episodes, though rigorous external validation in larger samples is essential before clinical application</li>
<li><b> </b>VLF heart rate variability may carry meaningful information about the inflammatory state in healthy young adults — the least understood HRV frequency band deserves closer attention</li>
</ul>
<p></p>
<p><b>SPONSORED BY OPTIMAL HRV</b></p>
<p>Optimal HRV is the most comprehensive HRV platform built for practitioners, researchers, and health-focused individuals who want to go beyond basic tracking. With tools for daily monitoring, longitudinal analysis, and population-level insights, Optimal HRV gives you the depth to truly understand your data. Visit optimalhrv.com to learn more.</p>
<p><i>The content in this episode is for educational and informational purposes only and does not constitute medical advice. Always consult a qualified healthcare provider regarding any health concerns or before making changes to your health regimen.</i></p>]]>
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                                <itunes:summary>
                    <![CDATA[Heart rate variability science is moving in several directions at once this week — deeper into neural mechanisms, broader across clinical populations, and more precise in its analytical tools. Episode 34 covers six studies ranging from a new graph-theory method for detecting sex differences in resting autonomic activity to the neural pathway behind a side effect affecting millions of patients on GLP-1 medications to what HRV can and cannot tell us about cardiovascular fitness in high-risk individuals. Whether you're a clinician, researcher, or practitioner, this episode has something to sharpen your thinking.
1. When the Average Hides the Signal: Graph Theory and Sex Differences in HRV
Publication: Biology of Sex Differences
Authors: Lin Sørensen, Elisabet Kvadsheim, Julian Koenig, Julian F Thayer, DeWayne P Williams, Hayley Jessica MacDonald, Ryan Douglas McCardle, Daniel Wollschlaeger, Ole Bernt Fasmer, Berge Osnes
KEY FINDING:
In 269 healthy young adults, a similarity graph theory algorithm detected significant sex differences in nonlinear inter-beat interval variability — males showing higher graph metric values, indicating lower dynamic IBI fluctuations — while standard measures lnRMSSD and lnHF-HRV failed to distinguish sexes when used alone. The odds ratio for the graph metric predicting sex was 2.78 (95% CI: 1.32–5.86).
SIGNIFICANCE:
Conventional averaged HRV metrics may systematically underdetect sex-based autonomic differences that exist in the rapid, nonlinear structure of beat-to-beat activity. Nonlinear graph-theoretic approaches offer a complementary analytical lens that could refine how sex is accounted for in autonomic research and in clinical HRV norms.
→ Read full study: https://www.researchgate.net/publication/403769793_Capturing_sex_differences_in_spontaneous_autonomic_fluctuations_of_resting_heart_rate_using_a_similarity_graph_theory_approach
2. Why Your GLP-1 Medication Raises Your Heart Rate: A Neural Explanation
Publication: Hypertension Research
Authors: Yui Koyanagi, Kamon Iigaya, Keiko Ikeda, Hiroshi Onimaru, Masahiko Izumizaki
KEY FINDING:
Exendin-4, a major GLP-1 receptor agonist, increased sympathetic nerve activity and produced membrane depolarization in preganglionic neurons of the spinal cord and neurons in the rostral ventrolateral medulla in vitro. The effect was blocked by a GLP-1 receptor antagonist, confirming receptor-mediated sympathetic excitation at both spinal and brainstem levels.
SIGNIFICANCE:
This study provides the clearest mechanistic evidence to date that GLP-1 receptor agonists can directly excite sympathetic neurons — offering a plausible neural explanation for the heart rate increases commonly observed in patients on this medication class. For practitioners monitoring autonomic function in patients on GLP-1 therapies, this finding provides important physiological context.
→ Read full study: https://www.nature.com/articles/s41440-026-02633-5
3. Two Systems Failing Together: HRV and Nerve Conduction in Early Diabetes
Publication: Cureus
Authors: Anwar H. Siddiqui, Md S. Alam, Ahmad Faraz, Nazia Tauheed, Hamid Ashraf, SAA Rizvi
KEY FINDING:
In 100 patients with type 2 diabetes of less than 5 years' duration, compared with 100 matched controls, parasympathetic HRV indices and peripheral nerve amplitudes were both significantly reduced in the diabetes group, with the strongest single correlation between high-frequency HRV power and sural SNAP amplitude (r = 0.62). Multiv...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:53:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 33]]>
                </title>
                <pubDate>Tue, 14 Apr 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2418219</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-33</link>
                                <description>
                                            <![CDATA[<h2>Needles, Treadmills, Wearables, and Operating Rooms: Four Ways the Autonomic Nervous System Shows Up Where You Least Expect It</h2>
<p>This week's episode covers four studies across four completely different clinical domains — acupuncture, exercise physiology, sleep medicine, and urology — and finds the same thread running through them all: HRV as a window into autonomic regulation. Whether the stimulus is a needle, a treadmill, an overnight wearable patch, or a surgical instrument, the nervous system responds in ways HRV can detect. Episode 33 explores what that means for practice, research, and the expanding frontier of autonomic science.</p>
<h2>Research Highlights This Week</h2>
<p><strong>Mapping Ancient Points onto Modern Mechanisms: The Case for a Biomedical Acupuncture Framework</strong></p>
<p><strong>Publication:</strong> Cureus</p>
<p><strong>Authors:</strong> Yiangos Karavis, Miltiades Karavis</p>
<p><strong>KEY FINDING:</strong> A structured narrative review of 71 studies found convergent mechanistic evidence for a candidate cluster of acupuncture points — including ST36, PC6, LI4, SP6, LR3, and GV20 — across autonomic modulation, neuroimmune signaling, and HRV outcomes. ST36 and PC6 were repeatedly associated with vagal pathway activation and increased high-frequency HRV, while multiple points suppressed pro-inflammatory cytokines and modulated nuclear factor kappa B and NOD-like receptor thermal protein domain-associated protein 3 inflammasome signaling.</p>
<p><strong>SIGNIFICANCE:</strong> This review offers one of the most systematic attempts to translate traditional acupuncture point designations into a biomedically grounded teaching framework. While prospective validation is still required, the mechanistic convergence across independent studies suggests that peripheral stimulation at specific anatomical sites can engage autonomic and neuroimmune circuits in measurable ways — with real implications for integrative practice, pain medicine, and HRV research.</p>
<p><strong>Read full study</strong>: <a href="https://doi.org/10.7759/cureus.106511" target="_blank" rel="noreferrer noopener">https://doi.org/10.7759/cureus.106511</a></p>
<p><strong>Six Weeks on the Treadmill: Autonomic Recovery in Sedentary Obese Young Adults</strong></p>
<p><strong>Publication:</strong> Journal of Datta Meghe Institute of Medical Sciences University</p>
<p><strong>Authors:</strong> Subha Shankar Sahoo, Shivani Patil, M. Premkumar</p>
<p><strong>KEY FINDING:</strong> Forty-one sedentary obese adults aged 17–25 completed a 6-week moderate-intensity treadmill program. By 45 days, all measured HRV parameters — the standard deviation of normal-to-normal intervals, the standard deviation of normal-to-normal intervals index, high-frequency power, low-frequency power, and very low-frequency power — improved significantly (p &lt; 0.001). Resting and minimum heart rates decreased, systolic blood pressure dropped, and peak exercise heart rate increased, suggesting improved chronotropic competence alongside enhanced vagal tone.</p>
<p><strong>SIGNIFICANCE:</strong> This study provides time-resolved evidence that a practical, moderate-intensity exercise program can produce measurable autonomic improvements in a population with common dysregulation. The gains in high-frequency HRV point specifically toward enhanced vagal tone. While the pre–post design without a control group limits causal conclusions, the direction and magnitude of effects are clinically encouraging for practitioners using exercise as an autonomic rehabilitation tool.</p>
<p><strong>Read full study:</strong><a href="%20https%3A/doi.org/10.4103/jdmimsu.jdmimsu_731_25" target="_blank" title="https://doi.org/10.4103/jdmimsu.jdmimsu_731_25" rel="noreferrer noopener"> https://doi.org/10.4103/jdmimsu.jdmimsu_731_25</a></p>
<p><strong>From Snoring to Signal: Using a Wearable HRV Patch and Artificial Intelligence to Screen for Sleep Apnea</strong></p>
<p><strong>Publication:</strong></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Needles, Treadmills, Wearables, and Operating Rooms: Four Ways the Autonomic Nervous System Shows Up Where You Least Expect It
This week's episode covers four studies across four completely different clinical domains — acupuncture, exercise physiology, sleep medicine, and urology — and finds the same thread running through them all: HRV as a window into autonomic regulation. Whether the stimulus is a needle, a treadmill, an overnight wearable patch, or a surgical instrument, the nervous system responds in ways HRV can detect. Episode 33 explores what that means for practice, research, and the expanding frontier of autonomic science.
Research Highlights This Week
Mapping Ancient Points onto Modern Mechanisms: The Case for a Biomedical Acupuncture Framework
Publication: Cureus
Authors: Yiangos Karavis, Miltiades Karavis
KEY FINDING: A structured narrative review of 71 studies found convergent mechanistic evidence for a candidate cluster of acupuncture points — including ST36, PC6, LI4, SP6, LR3, and GV20 — across autonomic modulation, neuroimmune signaling, and HRV outcomes. ST36 and PC6 were repeatedly associated with vagal pathway activation and increased high-frequency HRV, while multiple points suppressed pro-inflammatory cytokines and modulated nuclear factor kappa B and NOD-like receptor thermal protein domain-associated protein 3 inflammasome signaling.
SIGNIFICANCE: This review offers one of the most systematic attempts to translate traditional acupuncture point designations into a biomedically grounded teaching framework. While prospective validation is still required, the mechanistic convergence across independent studies suggests that peripheral stimulation at specific anatomical sites can engage autonomic and neuroimmune circuits in measurable ways — with real implications for integrative practice, pain medicine, and HRV research.
Read full study: https://doi.org/10.7759/cureus.106511
Six Weeks on the Treadmill: Autonomic Recovery in Sedentary Obese Young Adults
Publication: Journal of Datta Meghe Institute of Medical Sciences University
Authors: Subha Shankar Sahoo, Shivani Patil, M. Premkumar
KEY FINDING: Forty-one sedentary obese adults aged 17–25 completed a 6-week moderate-intensity treadmill program. By 45 days, all measured HRV parameters — the standard deviation of normal-to-normal intervals, the standard deviation of normal-to-normal intervals index, high-frequency power, low-frequency power, and very low-frequency power — improved significantly (p < 0.001). Resting and minimum heart rates decreased, systolic blood pressure dropped, and peak exercise heart rate increased, suggesting improved chronotropic competence alongside enhanced vagal tone.
SIGNIFICANCE: This study provides time-resolved evidence that a practical, moderate-intensity exercise program can produce measurable autonomic improvements in a population with common dysregulation. The gains in high-frequency HRV point specifically toward enhanced vagal tone. While the pre–post design without a control group limits causal conclusions, the direction and magnitude of effects are clinically encouraging for practitioners using exercise as an autonomic rehabilitation tool.
Read full study: https://doi.org/10.4103/jdmimsu.jdmimsu_731_25
From Snoring to Signal: Using a Wearable HRV Patch and Artificial Intelligence to Screen for Sleep Apnea
Publication:]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 33]]>
                </itunes:title>
                                    <itunes:episode>33</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h2>Needles, Treadmills, Wearables, and Operating Rooms: Four Ways the Autonomic Nervous System Shows Up Where You Least Expect It</h2>
<p>This week's episode covers four studies across four completely different clinical domains — acupuncture, exercise physiology, sleep medicine, and urology — and finds the same thread running through them all: HRV as a window into autonomic regulation. Whether the stimulus is a needle, a treadmill, an overnight wearable patch, or a surgical instrument, the nervous system responds in ways HRV can detect. Episode 33 explores what that means for practice, research, and the expanding frontier of autonomic science.</p>
<h2>Research Highlights This Week</h2>
<p><strong>Mapping Ancient Points onto Modern Mechanisms: The Case for a Biomedical Acupuncture Framework</strong></p>
<p><strong>Publication:</strong> Cureus</p>
<p><strong>Authors:</strong> Yiangos Karavis, Miltiades Karavis</p>
<p><strong>KEY FINDING:</strong> A structured narrative review of 71 studies found convergent mechanistic evidence for a candidate cluster of acupuncture points — including ST36, PC6, LI4, SP6, LR3, and GV20 — across autonomic modulation, neuroimmune signaling, and HRV outcomes. ST36 and PC6 were repeatedly associated with vagal pathway activation and increased high-frequency HRV, while multiple points suppressed pro-inflammatory cytokines and modulated nuclear factor kappa B and NOD-like receptor thermal protein domain-associated protein 3 inflammasome signaling.</p>
<p><strong>SIGNIFICANCE:</strong> This review offers one of the most systematic attempts to translate traditional acupuncture point designations into a biomedically grounded teaching framework. While prospective validation is still required, the mechanistic convergence across independent studies suggests that peripheral stimulation at specific anatomical sites can engage autonomic and neuroimmune circuits in measurable ways — with real implications for integrative practice, pain medicine, and HRV research.</p>
<p><strong>Read full study</strong>: <a href="https://doi.org/10.7759/cureus.106511" target="_blank" rel="noreferrer noopener">https://doi.org/10.7759/cureus.106511</a></p>
<p><strong>Six Weeks on the Treadmill: Autonomic Recovery in Sedentary Obese Young Adults</strong></p>
<p><strong>Publication:</strong> Journal of Datta Meghe Institute of Medical Sciences University</p>
<p><strong>Authors:</strong> Subha Shankar Sahoo, Shivani Patil, M. Premkumar</p>
<p><strong>KEY FINDING:</strong> Forty-one sedentary obese adults aged 17–25 completed a 6-week moderate-intensity treadmill program. By 45 days, all measured HRV parameters — the standard deviation of normal-to-normal intervals, the standard deviation of normal-to-normal intervals index, high-frequency power, low-frequency power, and very low-frequency power — improved significantly (p &lt; 0.001). Resting and minimum heart rates decreased, systolic blood pressure dropped, and peak exercise heart rate increased, suggesting improved chronotropic competence alongside enhanced vagal tone.</p>
<p><strong>SIGNIFICANCE:</strong> This study provides time-resolved evidence that a practical, moderate-intensity exercise program can produce measurable autonomic improvements in a population with common dysregulation. The gains in high-frequency HRV point specifically toward enhanced vagal tone. While the pre–post design without a control group limits causal conclusions, the direction and magnitude of effects are clinically encouraging for practitioners using exercise as an autonomic rehabilitation tool.</p>
<p><strong>Read full study:</strong><a href="%20https%3A/doi.org/10.4103/jdmimsu.jdmimsu_731_25" target="_blank" title="https://doi.org/10.4103/jdmimsu.jdmimsu_731_25" rel="noreferrer noopener"> https://doi.org/10.4103/jdmimsu.jdmimsu_731_25</a></p>
<p><strong>From Snoring to Signal: Using a Wearable HRV Patch and Artificial Intelligence to Screen for Sleep Apnea</strong></p>
<p><strong>Publication:</strong> Nature and Science of Sleep</p>
<p><strong>Authors:</strong> Ying-Shuo Hsu, Yu-Cheng Lin, Yu-En Kuo, Cheng-Han Chou, Mei-Chun Chou, Yi Chang, Ofer Jacobowitz, Chia-Mo Lin, Shih-Chieh Lo, Terry BJ Kuo, Cheryl CH Yang</p>
<p><strong>KEY FINDING:</strong> A chest-worn patch-type HRV analyzer combined with an artificial intelligence model achieved 81.4% accuracy in screening for moderate-to-severe obstructive sleep apnea — outperforming demographic-based screening (73%) and a previous electrocardiogram patch method (70.6%). The best-performing model incorporated nonlinear HRV features and electrocardiogram R-S amplitude data into a novel composite index called the Cardiovascular Hypopnea Index, with an area under the receiver operating characteristic curve of 0.81 at an apnea-hypopnea index cutoff of 15.</p>
<p><strong>SIGNIFICANCE:</strong> This study demonstrates that a single-channel wearable cardiac device, when combined with comprehensive nonlinear HRV analysis and artificial intelligence, can meaningfully detect moderate-to-severe obstructive sleep apnea at home — without the complexity and discomfort of multi-sensor monitoring systems. The finding that nonlinear HRV complexity metrics outperform standard time-domain and frequency-domain measures underscores the diagnostic information that remains underexplored in the cardiac signal.</p>
<p><strong>Read full study:</strong> <a href="https://doi.org/10.2147/NSS.S568569" target="_blank" rel="noreferrer noopener">https://doi.org/10.2147/NSS.S568569</a></p>
<p><strong>The Prostate and the Nervous System: HRV as a Marker of Autonomic Recovery After Benign Prostatic Hyperplasia Treatment</strong></p>
<p><strong>Publication:</strong> Life</p>
<p><strong>Authors:</strong> Kuan-Yu Chen, Yu-Hui Huang, Yun-Sheng Chen, Min-Hsin Yang, Kai-Siang Chen, Chieh-Jui Chen, Cheng-Ju Ho, Chih-Kai Peng, Sung-Lang Chen</p>
<p>KEY FINDING: In an observational study of 452 men with benign prostatic hyperplasia and bladder outlet obstruction, transurethral resection of the prostate was associated with significantly greater HRV restoration than tamsulosin at 12 weeks. The standard deviation of normal-to-normal intervals increased by ~40% after surgery, compared with ~18% with medication; the low-frequency-to-high-frequency ratio decreased by 55% after surgery, compared with 8% with medication; and total power nearly doubled in the surgical group. A change in the standard deviation of normal-to-normal intervals independently predicted urinary symptom improvement in multivariate regression (standardized beta = −0.42, accounting for 28% of the variance).</p>
<p><strong>SIGNIFICANCE:</strong> This study reframes benign prostatic hyperplasia as a condition with systemic autonomic consequences rather than solely urological ones. The greater HRV restoration after surgical obstruction relief compared to pharmacological blockade supports the hypothesis that chronic mechanical obstruction generates afferent autonomic stress, and that HRV can track its resolution. These are hypothesis-generating findings requiring randomized trial confirmation, but they open an important new avenue for understanding visceral obstruction and autonomic health.</p>
<p><strong>Read full study:</strong> <a href="https://doi.org/10.3390/life16040600" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/life16040600</a></p>
<h2>Key Themes This Week</h2>
<ul>
<li><strong>HRV as a cross-domain marker:</strong> Four studies from entirely different clinical fields — integrative medicine, exercise physiology, sleep medicine, and urology — all used HRV to detect autonomic changes, reinforcing its value as a universal physiological readout</li>
<li><strong>Vagal activation is the consistent direction of benefit:</strong> High-frequency HRV and parasympathetic markers improved across all four studies, regardless of whether the intervention was a needle, exercise, an artificial intelligence screening tool, or surgery</li>
<li><strong>Nonlinear HRV carries information that standard measures miss:</strong> The sleep apnea study demonstrated that combining nonlinear complexity metrics with electrocardiogram amplitude data — and applying artificial intelligence — dramatically improves screening accuracy over standard HRV analysis alone</li>
<li><strong>Chronic physiological stress dysregulates autonomics beyond the affected organ:</strong> Obesity-related sedentarism and bladder outlet obstruction both imposed measurable systemic autonomic burdens — reinforcing that HRV reflects whole-body regulatory state, not just cardiovascular fitness</li>
<li><strong>All four studies call for further validation:</strong> Prospective trials, larger samples, external validation, and randomized designs are needed across the board before any of these findings should drive direct clinical practice change</li>
</ul>
<h2>Sponsored by Optimal HRV</h2>
<p>Ready to put HRV data to work in your practice or your own health? Optimal HRV is the dedicated platform built for clinicians, coaches, and individuals who want accurate measurement, meaningful interpretation, and actionable insights from HRV monitoring. Visit <strong>www.optimalhrv.com</strong> to get started.</p>
<p><em>This content is for educational and informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional for guidance specific to your health situation.</em></p>]]>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Needles, Treadmills, Wearables, and Operating Rooms: Four Ways the Autonomic Nervous System Shows Up Where You Least Expect It
This week's episode covers four studies across four completely different clinical domains — acupuncture, exercise physiology, sleep medicine, and urology — and finds the same thread running through them all: HRV as a window into autonomic regulation. Whether the stimulus is a needle, a treadmill, an overnight wearable patch, or a surgical instrument, the nervous system responds in ways HRV can detect. Episode 33 explores what that means for practice, research, and the expanding frontier of autonomic science.
Research Highlights This Week
Mapping Ancient Points onto Modern Mechanisms: The Case for a Biomedical Acupuncture Framework
Publication: Cureus
Authors: Yiangos Karavis, Miltiades Karavis
KEY FINDING: A structured narrative review of 71 studies found convergent mechanistic evidence for a candidate cluster of acupuncture points — including ST36, PC6, LI4, SP6, LR3, and GV20 — across autonomic modulation, neuroimmune signaling, and HRV outcomes. ST36 and PC6 were repeatedly associated with vagal pathway activation and increased high-frequency HRV, while multiple points suppressed pro-inflammatory cytokines and modulated nuclear factor kappa B and NOD-like receptor thermal protein domain-associated protein 3 inflammasome signaling.
SIGNIFICANCE: This review offers one of the most systematic attempts to translate traditional acupuncture point designations into a biomedically grounded teaching framework. While prospective validation is still required, the mechanistic convergence across independent studies suggests that peripheral stimulation at specific anatomical sites can engage autonomic and neuroimmune circuits in measurable ways — with real implications for integrative practice, pain medicine, and HRV research.
Read full study: https://doi.org/10.7759/cureus.106511
Six Weeks on the Treadmill: Autonomic Recovery in Sedentary Obese Young Adults
Publication: Journal of Datta Meghe Institute of Medical Sciences University
Authors: Subha Shankar Sahoo, Shivani Patil, M. Premkumar
KEY FINDING: Forty-one sedentary obese adults aged 17–25 completed a 6-week moderate-intensity treadmill program. By 45 days, all measured HRV parameters — the standard deviation of normal-to-normal intervals, the standard deviation of normal-to-normal intervals index, high-frequency power, low-frequency power, and very low-frequency power — improved significantly (p < 0.001). Resting and minimum heart rates decreased, systolic blood pressure dropped, and peak exercise heart rate increased, suggesting improved chronotropic competence alongside enhanced vagal tone.
SIGNIFICANCE: This study provides time-resolved evidence that a practical, moderate-intensity exercise program can produce measurable autonomic improvements in a population with common dysregulation. The gains in high-frequency HRV point specifically toward enhanced vagal tone. While the pre–post design without a control group limits causal conclusions, the direction and magnitude of effects are clinically encouraging for practitioners using exercise as an autonomic rehabilitation tool.
Read full study: https://doi.org/10.4103/jdmimsu.jdmimsu_731_25
From Snoring to Signal: Using a Wearable HRV Patch and Artificial Intelligence to Screen for Sleep Apnea
Publication:]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:38:03</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[HRV Special Episode about Polyvagal Theory]]>
                </title>
                <pubDate>Thu, 09 Apr 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2392336</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-polyvagal</link>
                                <description>
                                            <![CDATA[<p>In this week’s episode of <b>The Heart Rate Variability Podcast</b>, we step away from our usual multi-paper review to focus on a singular, defining debate in the field: the current controversy surrounding <b>Polyvagal Theory</b>.</p>
<p>Polyvagal Theory has profoundly shaped how clinicians, trauma survivors, and the HRV community understand the relationship between the nervous system, safety, and social engagement. However, as the theory has moved from academic psychophysiology into the cultural mainstream, it has faced increasing scrutiny from the scientific community.</p>
<p>Today, we break down the history of the theory, the core of the scientific disagreement, and what this means for the future of HRV interpretation.</p>
<h3>The Evolution of a Theory</h3>
<p>Polyvagal Theory did not appear overnight. It evolved through decades of work by <b>Dr. Stephen Porges</b>, moving from specific observations about cardiac regulation to a broad "science of safety."</p>
<ul>
<li>
<p><b>1980s–Early 1990s:</b> Porges focuses on Respiratory Sinus Arrhythmia (RSA) as a window into the vagal regulation of the heart.</p>
</li>
<li>
<p><b>1995:</b> Formal introduction of Polyvagal Theory, arguing that the vagus system consists of different pathways with distinct functional roles.</p>
</li>
<li>
<p><b>2001:</b> The framework expands to include the "Social Nervous System," highlighting the phylogenetic shift in mammals toward social engagement as a regulatory strategy.</p>
</li>
<li>
<p><b>2011–Present:</b> The theory becomes a cornerstone of trauma-informed care, introducing concepts like <b>neuroception</b> and the <b>vagal brake</b>.</p>
</li>
</ul>
<h3>The Core of the Controversy: Two Perspectives</h3>
<p>The debate reached a fever pitch in 2026 following a major critical evaluation by <b>Paul Grossman and 38 coauthors</b>, followed by a direct rebuttal from Porges. The disagreement spans three primary domains:</p>
<h4>1. The Interpretation of RSA and HRV</h4>
<ul>
<li>
<p><b>The Critique:</b> Critics argue that RSA is not a "pure" measure of cardiac vagal tone. Factors like breathing rate, depth, age, and baroreflex dynamics make it impossible to treat RSA as a direct readout of the "ventral vagus."</p>
</li>
<li>
<p><b>The Defense:</b> Porges argues the theory doesn't claim RSA is a global measure of <i>total</i> vagal tone, but a context-sensitive index of a specific, functional cardioinhibitory pathway.</p>
</li>
</ul>
<h4>2. The Dorsal vs. Ventral Vagus Distinction</h4>
<ul>
<li>
<p><b>The Critique:</b> Anatomists argue that the "ladder" of autonomic states is oversimplified. They suggest the <b>Dorsal Motor Nucleus</b> does not play the primary role in human "shutdown" or "fainting" states, as the theory suggests.</p>
</li>
<li>
<p><b>The Defense:</b> Porges maintains that the theory describes <i>functional reorganization</i> and state-dependent recruitment, rather than a rigid anatomical switch.</p>
</li>
</ul>
<h4>3. The Evolutionary Timeline</h4>
<ul>
<li>
<p><b>The Critique:</b> Evolutionary biologists point out that many "mammalian" traits (complex sociality, myelinated vagal fibers) are also found in reptiles, challenging the theory’s phylogenetic claims.</p>
</li>
<li>
<p><b>The Defense:</b> Porges clarifies that the claim is about the <i>integration</i> of these systems—specifically, how mammals coordinated the vagus with cranial nerves to support co-regulation.</p>
</li>
</ul>
<h3>Key Takeaways for the HRV Community</h3>
<ul>
<li>
<p><b>Interpretation requires humility:</b> A single HRV or RSA value cannot be used as a definitive "safety meter."</p>
</li>
<li>
<p><b>Context is everything:</b> Respiration and activity significantly influence the signal.</p>
</li>
<li>
<p><b>Clinical utility vs. Mechanistic accuracy:</b> A theory can be a powerful tool for healing even while its underlying biological mechanisms are being refined.</p>
</li>
</ul>
<h3>References</h3>
<p>Doody, J. S., Burghardt, G. M., &amp; Dinets, V. (2023)...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this week’s episode of The Heart Rate Variability Podcast, we step away from our usual multi-paper review to focus on a singular, defining debate in the field: the current controversy surrounding Polyvagal Theory.
Polyvagal Theory has profoundly shaped how clinicians, trauma survivors, and the HRV community understand the relationship between the nervous system, safety, and social engagement. However, as the theory has moved from academic psychophysiology into the cultural mainstream, it has faced increasing scrutiny from the scientific community.
Today, we break down the history of the theory, the core of the scientific disagreement, and what this means for the future of HRV interpretation.
The Evolution of a Theory
Polyvagal Theory did not appear overnight. It evolved through decades of work by Dr. Stephen Porges, moving from specific observations about cardiac regulation to a broad "science of safety."


1980s–Early 1990s: Porges focuses on Respiratory Sinus Arrhythmia (RSA) as a window into the vagal regulation of the heart.


1995: Formal introduction of Polyvagal Theory, arguing that the vagus system consists of different pathways with distinct functional roles.


2001: The framework expands to include the "Social Nervous System," highlighting the phylogenetic shift in mammals toward social engagement as a regulatory strategy.


2011–Present: The theory becomes a cornerstone of trauma-informed care, introducing concepts like neuroception and the vagal brake.


The Core of the Controversy: Two Perspectives
The debate reached a fever pitch in 2026 following a major critical evaluation by Paul Grossman and 38 coauthors, followed by a direct rebuttal from Porges. The disagreement spans three primary domains:
1. The Interpretation of RSA and HRV


The Critique: Critics argue that RSA is not a "pure" measure of cardiac vagal tone. Factors like breathing rate, depth, age, and baroreflex dynamics make it impossible to treat RSA as a direct readout of the "ventral vagus."


The Defense: Porges argues the theory doesn't claim RSA is a global measure of total vagal tone, but a context-sensitive index of a specific, functional cardioinhibitory pathway.


2. The Dorsal vs. Ventral Vagus Distinction


The Critique: Anatomists argue that the "ladder" of autonomic states is oversimplified. They suggest the Dorsal Motor Nucleus does not play the primary role in human "shutdown" or "fainting" states, as the theory suggests.


The Defense: Porges maintains that the theory describes functional reorganization and state-dependent recruitment, rather than a rigid anatomical switch.


3. The Evolutionary Timeline


The Critique: Evolutionary biologists point out that many "mammalian" traits (complex sociality, myelinated vagal fibers) are also found in reptiles, challenging the theory’s phylogenetic claims.


The Defense: Porges clarifies that the claim is about the integration of these systems—specifically, how mammals coordinated the vagus with cranial nerves to support co-regulation.


Key Takeaways for the HRV Community


Interpretation requires humility: A single HRV or RSA value cannot be used as a definitive "safety meter."


Context is everything: Respiration and activity significantly influence the signal.


Clinical utility vs. Mechanistic accuracy: A theory can be a powerful tool for healing even while its underlying biological mechanisms are being refined.


References
Doody, J. S., Burghardt, G. M., & Dinets, V. (2023)...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[HRV Special Episode about Polyvagal Theory]]>
                </itunes:title>
                                    <itunes:episode>30</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this week’s episode of <b>The Heart Rate Variability Podcast</b>, we step away from our usual multi-paper review to focus on a singular, defining debate in the field: the current controversy surrounding <b>Polyvagal Theory</b>.</p>
<p>Polyvagal Theory has profoundly shaped how clinicians, trauma survivors, and the HRV community understand the relationship between the nervous system, safety, and social engagement. However, as the theory has moved from academic psychophysiology into the cultural mainstream, it has faced increasing scrutiny from the scientific community.</p>
<p>Today, we break down the history of the theory, the core of the scientific disagreement, and what this means for the future of HRV interpretation.</p>
<h3>The Evolution of a Theory</h3>
<p>Polyvagal Theory did not appear overnight. It evolved through decades of work by <b>Dr. Stephen Porges</b>, moving from specific observations about cardiac regulation to a broad "science of safety."</p>
<ul>
<li>
<p><b>1980s–Early 1990s:</b> Porges focuses on Respiratory Sinus Arrhythmia (RSA) as a window into the vagal regulation of the heart.</p>
</li>
<li>
<p><b>1995:</b> Formal introduction of Polyvagal Theory, arguing that the vagus system consists of different pathways with distinct functional roles.</p>
</li>
<li>
<p><b>2001:</b> The framework expands to include the "Social Nervous System," highlighting the phylogenetic shift in mammals toward social engagement as a regulatory strategy.</p>
</li>
<li>
<p><b>2011–Present:</b> The theory becomes a cornerstone of trauma-informed care, introducing concepts like <b>neuroception</b> and the <b>vagal brake</b>.</p>
</li>
</ul>
<h3>The Core of the Controversy: Two Perspectives</h3>
<p>The debate reached a fever pitch in 2026 following a major critical evaluation by <b>Paul Grossman and 38 coauthors</b>, followed by a direct rebuttal from Porges. The disagreement spans three primary domains:</p>
<h4>1. The Interpretation of RSA and HRV</h4>
<ul>
<li>
<p><b>The Critique:</b> Critics argue that RSA is not a "pure" measure of cardiac vagal tone. Factors like breathing rate, depth, age, and baroreflex dynamics make it impossible to treat RSA as a direct readout of the "ventral vagus."</p>
</li>
<li>
<p><b>The Defense:</b> Porges argues the theory doesn't claim RSA is a global measure of <i>total</i> vagal tone, but a context-sensitive index of a specific, functional cardioinhibitory pathway.</p>
</li>
</ul>
<h4>2. The Dorsal vs. Ventral Vagus Distinction</h4>
<ul>
<li>
<p><b>The Critique:</b> Anatomists argue that the "ladder" of autonomic states is oversimplified. They suggest the <b>Dorsal Motor Nucleus</b> does not play the primary role in human "shutdown" or "fainting" states, as the theory suggests.</p>
</li>
<li>
<p><b>The Defense:</b> Porges maintains that the theory describes <i>functional reorganization</i> and state-dependent recruitment, rather than a rigid anatomical switch.</p>
</li>
</ul>
<h4>3. The Evolutionary Timeline</h4>
<ul>
<li>
<p><b>The Critique:</b> Evolutionary biologists point out that many "mammalian" traits (complex sociality, myelinated vagal fibers) are also found in reptiles, challenging the theory’s phylogenetic claims.</p>
</li>
<li>
<p><b>The Defense:</b> Porges clarifies that the claim is about the <i>integration</i> of these systems—specifically, how mammals coordinated the vagus with cranial nerves to support co-regulation.</p>
</li>
</ul>
<h3>Key Takeaways for the HRV Community</h3>
<ul>
<li>
<p><b>Interpretation requires humility:</b> A single HRV or RSA value cannot be used as a definitive "safety meter."</p>
</li>
<li>
<p><b>Context is everything:</b> Respiration and activity significantly influence the signal.</p>
</li>
<li>
<p><b>Clinical utility vs. Mechanistic accuracy:</b> A theory can be a powerful tool for healing even while its underlying biological mechanisms are being refined.</p>
</li>
</ul>
<h3>References</h3>
<p>Doody, J. S., Burghardt, G. M., &amp; Dinets, V. (2023). The evolution of sociality and the polyvagal theory. <i>Biological Psychology, 180</i>, 108569.</p>
<p>Grossman, P. (2023). Fundamental challenges and likely refutations of the five basic premises of the polyvagal theory. <i>Biological Psychology, 180</i>, 108589.</p>
<p>Grossman, P., &amp; Taylor, E. W. (2007). Toward understanding respiratory sinus arrhythmia: Relations to cardiac vagal tone, evolution, and biobehavioral functions. <i>Biological Psychology, 74</i>(2), 263-285.</p>
<p>Grossman, P., et al. (2026). Why the polyvagal theory is untenable: An international expert evaluation of the polyvagal theory and commentary upon Porges, S. W. (2025). <i>Clinical Neuropsychiatry, 23</i>(1), 100-112.</p>
<p>Karemaker, J. M. (2022). The multibranched nerve: Vagal function beyond heart rate variability. <i>Biological Psychology, 172</i>, 108378.</p>
<p>Neuhuber, W. L., &amp; Berthoud, H.-R. (2022). Functional anatomy of the vagus system: How does the polyvagal theory comply? <i>Biological Psychology, 174</i>, 108425.</p>
<p>Porges, S. W. (1995). Orienting in a defensive world: Mammalian modifications of our evolutionary heritage. A polyvagal theory. <i>Psychophysiology, 32</i>(4), 301-318.</p>
<p>Porges, S. W. (2001). The polyvagal theory: Phylogenetic substrates of a social nervous system. <i>International Journal of Psychophysiology, 42</i>(2), 123-146.</p>
<p>Porges, S. W. (2011). <i>The polyvagal theory: Neurophysiological foundations of emotions, attachment, communication, and self-regulation</i>. W. W. Norton &amp; Company.</p>
<p>Porges, S. W. (2025). Polyvagal theory: Current status, clinical applications, and future directions. <i>Clinical Neuropsychiatry, 22</i>(3), 169-184.</p>
<p>Porges, S. W. (2026). When a critique becomes untenable: A scholarly response to Grossman et al.'s evaluation of polyvagal theory. <i>Clinical Neuropsychiatry, 23</i>(1), 113-128.</p>
<h3>Sponsored by Optimal HRV</h3>
<p>This episode is sponsored by <b>Optimal HRV</b>.</p>
<p>In a field where interpretation is everything, long-term patterns matter. Optimal HRV provides tools for structured assessments and resonance-frequency breathing to help you see the "big picture" of autonomic resilience.</p>
<p>Learn more: <a href="https://optimalhrv.com/" target="_blank" rel="noreferrer noopener">https://optimalhrv.com</a></p>
<h3>Medical Disclaimer</h3>
<p>This podcast is for educational and informational purposes only. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2392336/c1e-4wnxi847kmtopwo9-okpx785zi0x-gn0t5j.mp3" length="11759472"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this week’s episode of The Heart Rate Variability Podcast, we step away from our usual multi-paper review to focus on a singular, defining debate in the field: the current controversy surrounding Polyvagal Theory.
Polyvagal Theory has profoundly shaped how clinicians, trauma survivors, and the HRV community understand the relationship between the nervous system, safety, and social engagement. However, as the theory has moved from academic psychophysiology into the cultural mainstream, it has faced increasing scrutiny from the scientific community.
Today, we break down the history of the theory, the core of the scientific disagreement, and what this means for the future of HRV interpretation.
The Evolution of a Theory
Polyvagal Theory did not appear overnight. It evolved through decades of work by Dr. Stephen Porges, moving from specific observations about cardiac regulation to a broad "science of safety."


1980s–Early 1990s: Porges focuses on Respiratory Sinus Arrhythmia (RSA) as a window into the vagal regulation of the heart.


1995: Formal introduction of Polyvagal Theory, arguing that the vagus system consists of different pathways with distinct functional roles.


2001: The framework expands to include the "Social Nervous System," highlighting the phylogenetic shift in mammals toward social engagement as a regulatory strategy.


2011–Present: The theory becomes a cornerstone of trauma-informed care, introducing concepts like neuroception and the vagal brake.


The Core of the Controversy: Two Perspectives
The debate reached a fever pitch in 2026 following a major critical evaluation by Paul Grossman and 38 coauthors, followed by a direct rebuttal from Porges. The disagreement spans three primary domains:
1. The Interpretation of RSA and HRV


The Critique: Critics argue that RSA is not a "pure" measure of cardiac vagal tone. Factors like breathing rate, depth, age, and baroreflex dynamics make it impossible to treat RSA as a direct readout of the "ventral vagus."


The Defense: Porges argues the theory doesn't claim RSA is a global measure of total vagal tone, but a context-sensitive index of a specific, functional cardioinhibitory pathway.


2. The Dorsal vs. Ventral Vagus Distinction


The Critique: Anatomists argue that the "ladder" of autonomic states is oversimplified. They suggest the Dorsal Motor Nucleus does not play the primary role in human "shutdown" or "fainting" states, as the theory suggests.


The Defense: Porges maintains that the theory describes functional reorganization and state-dependent recruitment, rather than a rigid anatomical switch.


3. The Evolutionary Timeline


The Critique: Evolutionary biologists point out that many "mammalian" traits (complex sociality, myelinated vagal fibers) are also found in reptiles, challenging the theory’s phylogenetic claims.


The Defense: Porges clarifies that the claim is about the integration of these systems—specifically, how mammals coordinated the vagus with cranial nerves to support co-regulation.


Key Takeaways for the HRV Community


Interpretation requires humility: A single HRV or RSA value cannot be used as a definitive "safety meter."


Context is everything: Respiration and activity significantly influence the signal.


Clinical utility vs. Mechanistic accuracy: A theory can be a powerful tool for healing even while its underlying biological mechanisms are being refined.


References
Doody, J. S., Burghardt, G. M., & Dinets, V. (2023)...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:12:14</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 32]]>
                </title>
                <pubDate>Tue, 07 Apr 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2414661</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-episode-32</link>
                                <description>
                                            <![CDATA[<p>This week's edition of This Week in HRV examines nine new studies that push the boundaries of what heart rate variability can tell us — from the psychology lab to the emergency department, the running trail to the pediatric pain clinic. We explore whether HRV biofeedback's benefits are real or a placebo, what chaos theory reveals about your heartbeat during cognitive work, whether a cleared concussion athlete's nervous system has truly recovered, and how listening to music can objectively shift the autonomic nervous system in patients with chronic pain.</p>
<p><strong>1. Real or Placebo? Putting HRV Biofeedback to the Test</strong></p>
<p>Minjoz and colleagues published a randomized controlled trial in Biological Psychology comparing genuine HRV biofeedback against a convincing sham condition in 47 healthy adults.</p>
<p><strong>Key Findings:</strong> HRV biofeedback improved positive affectivity and reduced depression significantly more than the sham condition. However, no significant differences in HRV itself were detected between groups, and higher HRV during practice did not reliably predict greater psychological benefit.</p>
<p><strong>Significance:</strong> The psychological benefits of HRV biofeedback are real and exceed those of a placebo, but the mechanism may not be HRV changes themselves. This challenges practitioners to be more precise about how and why they recommend this intervention.</p>
<p><strong>Study Link:</strong> <a href="https://doi.org/10.1016/j.biopsycho.2026.109254">View Article</a></p>
<p><strong>2. Your Thinking Brain Has Its Own HRV Signature</strong></p>
<p>Mao, Okutomi, and Umeno published a study in Scientific Reports comparing time-domain, frequency-domain, and chaos and complexity HRV indices during both physical and mental tasks.</p>
<p><strong>Key Findings:</strong> During mental tasks, conventional HRV metrics — RMSSD, LF, HF — showed no significant changes. But chaos and complexity indices increased significantly, marking cognitive engagement with a unique nonlinear fingerprint.</p>
<p><strong>Significance:</strong> The brain-heart connection during cognitive work speaks a language that standard HRV metrics cannot hear. Researchers and practitioners relying solely on RMSSD or LF/HF during mental tasks may be measuring the wrong dimension of the signal entirely.</p>
<p><strong>Study Link:</strong> <a href="https://www.nature.com/articles/s41598-026-43385-z">View Article</a></p>
<p><strong>3. Concussion Cleared — But Is the Nervous System?</strong></p>
<p>Delling-Brett, Jakobsmeyer, Coenen, and Reinsberger published an exploratory study in Scientific Reports examining nocturnal autonomic activity in athletes with regular versus prolonged return to sport after concussion.</p>
<p><strong>Key Findings:</strong> No autonomic differences were found between groups during active recovery. But post-clearance, athletes with prolonged recovery showed significantly lower nocturnal RMSSD and fewer phasic electrodermal activity events during sleep — even after symptoms had fully resolved.</p>
<p><strong>Significance:</strong> Clinical symptom clearance and autonomic recovery may be running on different timelines. Nocturnal HRV could capture a layer of incomplete recovery that symptom checklists cannot see.</p>
<p><strong>Study Link:</strong> <a href="https://www.nature.com/articles/s41598-026-43546-0">View Article</a></p>
<p><strong>4. After a Heart Attack, Which Way Is Your HRV Heading?</strong></p>
<p>Marković, Petrović, Babić, Bojić, and Milovanović published a retrospective-prospective study in Diagnostics tracking short-term HRV in 230 heart attack patients at day one and day twenty-one post-infarction.</p>
<p><strong>Key Findings:</strong> Patients who died during follow-up showed lower HRV at day 21 and more pronounced declines across the three-week window. Decreased delta LF and shorter RR intervals independently predicted overall mortality in multivariable analysis.</p>
<p><strong>Significanc...</strong></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This week's edition of This Week in HRV examines nine new studies that push the boundaries of what heart rate variability can tell us — from the psychology lab to the emergency department, the running trail to the pediatric pain clinic. We explore whether HRV biofeedback's benefits are real or a placebo, what chaos theory reveals about your heartbeat during cognitive work, whether a cleared concussion athlete's nervous system has truly recovered, and how listening to music can objectively shift the autonomic nervous system in patients with chronic pain.
1. Real or Placebo? Putting HRV Biofeedback to the Test
Minjoz and colleagues published a randomized controlled trial in Biological Psychology comparing genuine HRV biofeedback against a convincing sham condition in 47 healthy adults.
Key Findings: HRV biofeedback improved positive affectivity and reduced depression significantly more than the sham condition. However, no significant differences in HRV itself were detected between groups, and higher HRV during practice did not reliably predict greater psychological benefit.
Significance: The psychological benefits of HRV biofeedback are real and exceed those of a placebo, but the mechanism may not be HRV changes themselves. This challenges practitioners to be more precise about how and why they recommend this intervention.
Study Link: View Article
2. Your Thinking Brain Has Its Own HRV Signature
Mao, Okutomi, and Umeno published a study in Scientific Reports comparing time-domain, frequency-domain, and chaos and complexity HRV indices during both physical and mental tasks.
Key Findings: During mental tasks, conventional HRV metrics — RMSSD, LF, HF — showed no significant changes. But chaos and complexity indices increased significantly, marking cognitive engagement with a unique nonlinear fingerprint.
Significance: The brain-heart connection during cognitive work speaks a language that standard HRV metrics cannot hear. Researchers and practitioners relying solely on RMSSD or LF/HF during mental tasks may be measuring the wrong dimension of the signal entirely.
Study Link: View Article
3. Concussion Cleared — But Is the Nervous System?
Delling-Brett, Jakobsmeyer, Coenen, and Reinsberger published an exploratory study in Scientific Reports examining nocturnal autonomic activity in athletes with regular versus prolonged return to sport after concussion.
Key Findings: No autonomic differences were found between groups during active recovery. But post-clearance, athletes with prolonged recovery showed significantly lower nocturnal RMSSD and fewer phasic electrodermal activity events during sleep — even after symptoms had fully resolved.
Significance: Clinical symptom clearance and autonomic recovery may be running on different timelines. Nocturnal HRV could capture a layer of incomplete recovery that symptom checklists cannot see.
Study Link: View Article
4. After a Heart Attack, Which Way Is Your HRV Heading?
Marković, Petrović, Babić, Bojić, and Milovanović published a retrospective-prospective study in Diagnostics tracking short-term HRV in 230 heart attack patients at day one and day twenty-one post-infarction.
Key Findings: Patients who died during follow-up showed lower HRV at day 21 and more pronounced declines across the three-week window. Decreased delta LF and shorter RR intervals independently predicted overall mortality in multivariable analysis.
Significanc...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 32]]>
                </itunes:title>
                                    <itunes:episode>32</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>This week's edition of This Week in HRV examines nine new studies that push the boundaries of what heart rate variability can tell us — from the psychology lab to the emergency department, the running trail to the pediatric pain clinic. We explore whether HRV biofeedback's benefits are real or a placebo, what chaos theory reveals about your heartbeat during cognitive work, whether a cleared concussion athlete's nervous system has truly recovered, and how listening to music can objectively shift the autonomic nervous system in patients with chronic pain.</p>
<p><strong>1. Real or Placebo? Putting HRV Biofeedback to the Test</strong></p>
<p>Minjoz and colleagues published a randomized controlled trial in Biological Psychology comparing genuine HRV biofeedback against a convincing sham condition in 47 healthy adults.</p>
<p><strong>Key Findings:</strong> HRV biofeedback improved positive affectivity and reduced depression significantly more than the sham condition. However, no significant differences in HRV itself were detected between groups, and higher HRV during practice did not reliably predict greater psychological benefit.</p>
<p><strong>Significance:</strong> The psychological benefits of HRV biofeedback are real and exceed those of a placebo, but the mechanism may not be HRV changes themselves. This challenges practitioners to be more precise about how and why they recommend this intervention.</p>
<p><strong>Study Link:</strong> <a href="https://doi.org/10.1016/j.biopsycho.2026.109254">View Article</a></p>
<p><strong>2. Your Thinking Brain Has Its Own HRV Signature</strong></p>
<p>Mao, Okutomi, and Umeno published a study in Scientific Reports comparing time-domain, frequency-domain, and chaos and complexity HRV indices during both physical and mental tasks.</p>
<p><strong>Key Findings:</strong> During mental tasks, conventional HRV metrics — RMSSD, LF, HF — showed no significant changes. But chaos and complexity indices increased significantly, marking cognitive engagement with a unique nonlinear fingerprint.</p>
<p><strong>Significance:</strong> The brain-heart connection during cognitive work speaks a language that standard HRV metrics cannot hear. Researchers and practitioners relying solely on RMSSD or LF/HF during mental tasks may be measuring the wrong dimension of the signal entirely.</p>
<p><strong>Study Link:</strong> <a href="https://www.nature.com/articles/s41598-026-43385-z">View Article</a></p>
<p><strong>3. Concussion Cleared — But Is the Nervous System?</strong></p>
<p>Delling-Brett, Jakobsmeyer, Coenen, and Reinsberger published an exploratory study in Scientific Reports examining nocturnal autonomic activity in athletes with regular versus prolonged return to sport after concussion.</p>
<p><strong>Key Findings:</strong> No autonomic differences were found between groups during active recovery. But post-clearance, athletes with prolonged recovery showed significantly lower nocturnal RMSSD and fewer phasic electrodermal activity events during sleep — even after symptoms had fully resolved.</p>
<p><strong>Significance:</strong> Clinical symptom clearance and autonomic recovery may be running on different timelines. Nocturnal HRV could capture a layer of incomplete recovery that symptom checklists cannot see.</p>
<p><strong>Study Link:</strong> <a href="https://www.nature.com/articles/s41598-026-43546-0">View Article</a></p>
<p><strong>4. After a Heart Attack, Which Way Is Your HRV Heading?</strong></p>
<p>Marković, Petrović, Babić, Bojić, and Milovanović published a retrospective-prospective study in Diagnostics tracking short-term HRV in 230 heart attack patients at day one and day twenty-one post-infarction.</p>
<p><strong>Key Findings:</strong> Patients who died during follow-up showed lower HRV at day 21 and more pronounced declines across the three-week window. Decreased delta LF and shorter RR intervals independently predicted overall mortality in multivariable analysis.</p>
<p><strong>Significance:</strong> The direction of HRV change after a heart attack — not just its level — carries independent prognostic value. Two five-minute ECG recordings, three weeks apart, may be one of the most underutilized bedside tools in post-infarct care.</p>
<p><strong>Study Link:</strong> <a href="https://doi.org/10.3390/diagnostics16060942">View Article</a></p>
<p><strong>5. Can HRV Tell the ER Who Is About to Crash?</strong></p>
<p>Seely, Barnaby, Hudek, Herry, Scales, Fernando, Brehaut, and Perry published a Phase One feasibility pilot in BioMed Research International, testing an HRV-based clinical decision support tool — Sepsis Advisor — in emergency department patients with suspected infection.</p>
<p><strong>Key Findings:</strong> 92% of enrolled patients generated a usable HRV-based predictive model from a 30-minute ECG recording. Clinicians identified clear value in the tool for communication and early care escalation, but flagged interpretive literacy and time constraints as real barriers to adoption.</p>
<p><strong>Significance:</strong> The technology works in the real emergency department environment. The next challenge is not engineering — it is clinical education and workflow integration. This pilot lays the groundwork for a genuinely life-saving tool.</p>
<p><strong>Study Link:</strong> <a href="https://doi.org/10.1155/bmri/3778740">View Article</a></p>
<p><strong>6. What Poincaré Plots Reveal That RMSSD Cannot</strong></p>
<p>Milovanović, Marković, Petrović, Korugić, and Bojić published an observational study in Diagnostics examining Poincaré plot-derived HRV parameters in 269 patients referred for suspected autonomic dysfunction.</p>
<p><strong>Key Findings:</strong> Poincaré plot parameters showed strong associations with long-term HRV indices and distinguished patients with abnormal parasympathetic reflex tests from those without. Associations with short-term HRV were generally weak, confirming that these parameters are capturing something conventional metrics miss.</p>
<p><strong>Significance:</strong> Poincaré plot geometry is not a decorative repackaging of existing HRV data. It adds a complementary analytical layer that may improve autonomic phenotyping in clinical populations — particularly for parasympathetic reflex dysfunction.</p>
<p><strong>Study Link:</strong> <a href="https://doi.org/10.3390/diagnostics16071016">View Article</a></p>
<p><strong>7. Runners Are Tracking HRV. Almost None Are Using It</strong></p>
<p>Carnes and Mahoney published a survey study in the Journal of Exercise and Nutrition examining the prevalence of HRV monitoring and its application in training among 210 habitual runners.</p>
<p><strong>Key Findings:</strong> 47% of runners regularly monitored HRV, with Garmin devices accounting for 71% of trackers. Male runners adopted HRV monitoring at significantly higher rates than female runners. Only 20% of HRV trackers reported adjusting their training based on the data.</p>
<p><strong>Significance:</strong> The adoption problem has been solved — wearable HRV is mainstream in running communities. The utilization gap is wide open. Better in-app guidance, coaching integration, and education are the next frontier.</p>
<p><strong>Study Link:</strong> <a href="https://www.journalofexerciseandnutrition.com/index.php/JEN/article/view/231/199">View Article</a></p>
<p><strong>8. Music as Medicine: What Happens to HRV When You Really Listen</strong></p>
<p>Wang, Yu, Ma, Zhao, Wu, and Zheng published a randomized controlled trial in the Journal of Pain Research examining the effects of music intervention on pain, mood, sleep, and HRV in 79 patients with chronic pain.</p>
<p><strong>Key Findings:</strong> Music therapy significantly improved depression scores and produced a measurable shift in the LF/HF ratio toward parasympathetic balance compared to the control group. Present Pain Intensity sub-scores were also significantly lower in the music group. No significant inter-group differences were found for anxiety or sleep outcomes.</p>
<p><strong>Significance:</strong> Music listening is not just a pleasant distraction from pain — it is producing an objective, measurable change in autonomic balance. This is a randomized controlled trial, not an anecdote. For chronic pain management, music therapy now has a physiological evidence base to stand on.</p>
<p><strong>Study Link:</strong> <a href="https://doi.org/10.2147/JPR.S584043">View Article</a></p>
<p><strong>9. The Gut, the Brain, and the Sleep That Suffers — Differently in Girls and Boys</strong></p>
<p>Kamp, Burr, Matherne, Simonds, Murphy, Heitkemper, Levy, Shulman, and van Tilburg published a study in Neurogastroenterology &amp; Motility examining the relationships between HRV and sleep in 156 children aged 7–12 with abdominal pain-related disorders of gut-brain interaction.</p>
<p><strong>Key Findings:</strong> In girls, greater parasympathetic activity was associated with longer sleep onset delay and greater sleep anxiety. In boys, lower autonomic balance was associated with greater daytime sleepiness. In both sexes, lower LF HRV was associated with sleep-disordered breathing, confirmed by post hoc analysis showing significantly lower HRV in children with disordered breathing.</p>
<p><strong>Significance:</strong> The autonomic fingerprint of sleep disruption in children with functional gut pain is real — and it is not the same in girls and boys. Research designs and clinical management protocols that ignore sex differences in this population are missing a critical piece of the picture.</p>
<p><strong>Study Link:</strong> <a href="https://doi.org/10.1111/nmo.70293">View Article</a></p>
<h2>Key Themes from This Week</h2>
<p><strong>HRV Beyond the Number:</strong> Three studies this week — biofeedback, chaos theory, and Poincaré plots — challenge the assumption that RMSSD or LF/HF is the whole story. The signal is richer than our standard metrics reveal, and the field is beginning to map dimensions we have long ignored.</p>
<p><strong>Trajectory Over Snapshot:</strong> Whether it's a heart attack patient's HRV declining from day one to day twenty-one, or a concussion athlete's nocturnal RMSSD still suppressed after clinical clearance — this week's research consistently shows that where the autonomic system is heading matters more than where it sits today.</p>
<p><strong>From Niche to Mainstream:</strong> Runners are tracking HRV at scale. Emergency physicians are piloting HRV-based triage tools. Chronic pain clinicians are seeing objective autonomic shifts from music therapy. HRV is no longer a research curiosity — it is entering everyday clinical and consumer life, and the gap between collection and meaningful action is the next problem to solve.</p>
<p><strong>Sponsored by Optimal HRV:</strong></p>
<p>This episode is sponsored by Optimal HRV. See not just where your HRV is today, but where it's been and where it's heading — with trend analysis built around your personal baseline. Whether you're a clinician, coach, researcher, or individual tracking your own recovery, Optimal HRV gives you the tools to turn daily readings into meaningful insight.</p>
<p>Learn more at <strong><a href="http://www.optimalhrv.com">www.optimalhrv.com</a>.</strong></p>
<p><strong>Medical Disclaimer:</strong> This podcast is for educational purposes only. The information discussed does not constitute medical advice. Always consult a qualified healthcare professional before making changes to your health, training, or recovery protocols.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2414661/c1e-3w07iwk7xvukqpk6-mkg8p7x7t6wz-26chl7.mp3" length="51910721"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This week's edition of This Week in HRV examines nine new studies that push the boundaries of what heart rate variability can tell us — from the psychology lab to the emergency department, the running trail to the pediatric pain clinic. We explore whether HRV biofeedback's benefits are real or a placebo, what chaos theory reveals about your heartbeat during cognitive work, whether a cleared concussion athlete's nervous system has truly recovered, and how listening to music can objectively shift the autonomic nervous system in patients with chronic pain.
1. Real or Placebo? Putting HRV Biofeedback to the Test
Minjoz and colleagues published a randomized controlled trial in Biological Psychology comparing genuine HRV biofeedback against a convincing sham condition in 47 healthy adults.
Key Findings: HRV biofeedback improved positive affectivity and reduced depression significantly more than the sham condition. However, no significant differences in HRV itself were detected between groups, and higher HRV during practice did not reliably predict greater psychological benefit.
Significance: The psychological benefits of HRV biofeedback are real and exceed those of a placebo, but the mechanism may not be HRV changes themselves. This challenges practitioners to be more precise about how and why they recommend this intervention.
Study Link: View Article
2. Your Thinking Brain Has Its Own HRV Signature
Mao, Okutomi, and Umeno published a study in Scientific Reports comparing time-domain, frequency-domain, and chaos and complexity HRV indices during both physical and mental tasks.
Key Findings: During mental tasks, conventional HRV metrics — RMSSD, LF, HF — showed no significant changes. But chaos and complexity indices increased significantly, marking cognitive engagement with a unique nonlinear fingerprint.
Significance: The brain-heart connection during cognitive work speaks a language that standard HRV metrics cannot hear. Researchers and practitioners relying solely on RMSSD or LF/HF during mental tasks may be measuring the wrong dimension of the signal entirely.
Study Link: View Article
3. Concussion Cleared — But Is the Nervous System?
Delling-Brett, Jakobsmeyer, Coenen, and Reinsberger published an exploratory study in Scientific Reports examining nocturnal autonomic activity in athletes with regular versus prolonged return to sport after concussion.
Key Findings: No autonomic differences were found between groups during active recovery. But post-clearance, athletes with prolonged recovery showed significantly lower nocturnal RMSSD and fewer phasic electrodermal activity events during sleep — even after symptoms had fully resolved.
Significance: Clinical symptom clearance and autonomic recovery may be running on different timelines. Nocturnal HRV could capture a layer of incomplete recovery that symptom checklists cannot see.
Study Link: View Article
4. After a Heart Attack, Which Way Is Your HRV Heading?
Marković, Petrović, Babić, Bojić, and Milovanović published a retrospective-prospective study in Diagnostics tracking short-term HRV in 230 heart attack patients at day one and day twenty-one post-infarction.
Key Findings: Patients who died during follow-up showed lower HRV at day 21 and more pronounced declines across the three-week window. Decreased delta LF and shorter RR intervals independently predicted overall mortality in multivariable analysis.
Significanc...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:54:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 31]]>
                </title>
                <pubDate>Tue, 31 Mar 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2407201</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-31</link>
                                <description>
                                            <![CDATA[<p>This week’s edition of <b>This Week in HRV</b> dives into ten fresh studies that illustrate how heart rate variability is being used to decode everything from the heat of the climate to the heat of a high-stakes police encounter. We explore how HRV acts as a mediator for pain, a predictor of cognitive decline in extreme temperatures, and even a marker for the "acute effects" of professional gaming.</p>
<h2>1. The Gateway of Fear: HRV, Pain, and Perception</h2>
<p>A study in the <i>Journal of Clinical Medicine</i> by Venezia et al. explored the psychological architecture of pain. Researchers investigated whether our physiological "braking system" (HRV) explains why people who fear pain actually feel it more intensely.</p>
<ul>
<li>
<p><b>Key Findings:</b> The study found that HRV significantly mediates the relationship between a person’s "Fear of Pain" and their actual "Pain Perception." Essentially, a more flexible autonomic nervous system can buffer the impact of fear on the physical experience of pain.</p>
</li>
<li>
<p><b>Significance:</b> This suggests that improving autonomic regulation isn't just about heart health; it’s a viable strategy for chronic pain management and desensitization.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12985446/" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>2. Impulsivity and the Bottle: Alcohol Cue-Induced HRV</h2>
<p>Published in <i>Addictive Behaviors Reports</i>, Taniajura and colleagues looked at "cue-reactivity"—how the body responds to the sight or smell of alcohol—and how impulsivity plays a role in drinking behavior.</p>
<ul>
<li>
<p><b>Key Findings:</b> The research identified a specific link between alcohol-cue-induced HRV changes and subsequent drinking, particularly in individuals with high impulsivity.</p>
</li>
<li>
<p><b>Significance:</b> HRV may serve as a real-time "relapse warning system," identifying moments when an individual’s self-regulation is compromised by environmental triggers.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.1016/j.abrep.2026.100687" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>3. Cognitive Performance in the Heat: 150 Minutes of Stress</h2>
<p>As global temperatures rise, understanding heat-induced cognitive fatigue is critical. Zhu et al. published a study in <i>Energy and Buildings</i> focusing on human attentional performance during sustained heat exposure.</p>
<ul>
<li>
<p><b>Key Findings:</b> Using HRV indices, researchers predicted shifts in human attention and performance after 150 minutes of heat exposure.</p>
</li>
<li>
<p><b>Significance:</b> This provides a blueprint for "smart buildings" and occupational safety protocols that use wearable HRV data to prevent heat-related errors in industrial settings.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.1016/j.enbuild.2026.117311" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>4. Protecting the Frontline: HRV in Agricultural Workers</h2>
<p>In a parallel vein to the study above, Lung et al. (published in <i>Nature</i>) utilized lightweight personal sensors to track agricultural workers in the field.</p>
<ul>
<li>
<p><b>Key Findings:</b> The study validated an "innovative method" for evaluating the immediate impact of environmental heat on the autonomic nervous system of outdoor laborers.</p>
</li>
<li>
<p><b>Significance:</b> This moves HRV research out of the lab and into the "real world," proving that mobile sensors can effectively monitor the health of vulnerable populations in extreme climates.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://www.nature.com/articles/s41370-026-00848-9" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>5. Inside the Heart: HRV in the Operating Room</h2>
<p>A study in <i>Frontiers in Physiology</i> by Skoczyński et al. took HRV into the most acu...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This week’s edition of This Week in HRV dives into ten fresh studies that illustrate how heart rate variability is being used to decode everything from the heat of the climate to the heat of a high-stakes police encounter. We explore how HRV acts as a mediator for pain, a predictor of cognitive decline in extreme temperatures, and even a marker for the "acute effects" of professional gaming.
1. The Gateway of Fear: HRV, Pain, and Perception
A study in the Journal of Clinical Medicine by Venezia et al. explored the psychological architecture of pain. Researchers investigated whether our physiological "braking system" (HRV) explains why people who fear pain actually feel it more intensely.


Key Findings: The study found that HRV significantly mediates the relationship between a person’s "Fear of Pain" and their actual "Pain Perception." Essentially, a more flexible autonomic nervous system can buffer the impact of fear on the physical experience of pain.


Significance: This suggests that improving autonomic regulation isn't just about heart health; it’s a viable strategy for chronic pain management and desensitization.


Study Link: View Article


2. Impulsivity and the Bottle: Alcohol Cue-Induced HRV
Published in Addictive Behaviors Reports, Taniajura and colleagues looked at "cue-reactivity"—how the body responds to the sight or smell of alcohol—and how impulsivity plays a role in drinking behavior.


Key Findings: The research identified a specific link between alcohol-cue-induced HRV changes and subsequent drinking, particularly in individuals with high impulsivity.


Significance: HRV may serve as a real-time "relapse warning system," identifying moments when an individual’s self-regulation is compromised by environmental triggers.


Study Link: View Article


3. Cognitive Performance in the Heat: 150 Minutes of Stress
As global temperatures rise, understanding heat-induced cognitive fatigue is critical. Zhu et al. published a study in Energy and Buildings focusing on human attentional performance during sustained heat exposure.


Key Findings: Using HRV indices, researchers predicted shifts in human attention and performance after 150 minutes of heat exposure.


Significance: This provides a blueprint for "smart buildings" and occupational safety protocols that use wearable HRV data to prevent heat-related errors in industrial settings.


Study Link: View Article


4. Protecting the Frontline: HRV in Agricultural Workers
In a parallel vein to the study above, Lung et al. (published in Nature) utilized lightweight personal sensors to track agricultural workers in the field.


Key Findings: The study validated an "innovative method" for evaluating the immediate impact of environmental heat on the autonomic nervous system of outdoor laborers.


Significance: This moves HRV research out of the lab and into the "real world," proving that mobile sensors can effectively monitor the health of vulnerable populations in extreme climates.


Study Link: View Article


5. Inside the Heart: HRV in the Operating Room
A study in Frontiers in Physiology by Skoczyński et al. took HRV into the most acu...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 31]]>
                </itunes:title>
                                    <itunes:episode>31</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>This week’s edition of <b>This Week in HRV</b> dives into ten fresh studies that illustrate how heart rate variability is being used to decode everything from the heat of the climate to the heat of a high-stakes police encounter. We explore how HRV acts as a mediator for pain, a predictor of cognitive decline in extreme temperatures, and even a marker for the "acute effects" of professional gaming.</p>
<h2>1. The Gateway of Fear: HRV, Pain, and Perception</h2>
<p>A study in the <i>Journal of Clinical Medicine</i> by Venezia et al. explored the psychological architecture of pain. Researchers investigated whether our physiological "braking system" (HRV) explains why people who fear pain actually feel it more intensely.</p>
<ul>
<li>
<p><b>Key Findings:</b> The study found that HRV significantly mediates the relationship between a person’s "Fear of Pain" and their actual "Pain Perception." Essentially, a more flexible autonomic nervous system can buffer the impact of fear on the physical experience of pain.</p>
</li>
<li>
<p><b>Significance:</b> This suggests that improving autonomic regulation isn't just about heart health; it’s a viable strategy for chronic pain management and desensitization.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12985446/" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>2. Impulsivity and the Bottle: Alcohol Cue-Induced HRV</h2>
<p>Published in <i>Addictive Behaviors Reports</i>, Taniajura and colleagues looked at "cue-reactivity"—how the body responds to the sight or smell of alcohol—and how impulsivity plays a role in drinking behavior.</p>
<ul>
<li>
<p><b>Key Findings:</b> The research identified a specific link between alcohol-cue-induced HRV changes and subsequent drinking, particularly in individuals with high impulsivity.</p>
</li>
<li>
<p><b>Significance:</b> HRV may serve as a real-time "relapse warning system," identifying moments when an individual’s self-regulation is compromised by environmental triggers.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.1016/j.abrep.2026.100687" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>3. Cognitive Performance in the Heat: 150 Minutes of Stress</h2>
<p>As global temperatures rise, understanding heat-induced cognitive fatigue is critical. Zhu et al. published a study in <i>Energy and Buildings</i> focusing on human attentional performance during sustained heat exposure.</p>
<ul>
<li>
<p><b>Key Findings:</b> Using HRV indices, researchers predicted shifts in human attention and performance after 150 minutes of heat exposure.</p>
</li>
<li>
<p><b>Significance:</b> This provides a blueprint for "smart buildings" and occupational safety protocols that use wearable HRV data to prevent heat-related errors in industrial settings.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.1016/j.enbuild.2026.117311" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>4. Protecting the Frontline: HRV in Agricultural Workers</h2>
<p>In a parallel vein to the study above, Lung et al. (published in <i>Nature</i>) utilized lightweight personal sensors to track agricultural workers in the field.</p>
<ul>
<li>
<p><b>Key Findings:</b> The study validated an "innovative method" for evaluating the immediate impact of environmental heat on the autonomic nervous system of outdoor laborers.</p>
</li>
<li>
<p><b>Significance:</b> This moves HRV research out of the lab and into the "real world," proving that mobile sensors can effectively monitor the health of vulnerable populations in extreme climates.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://www.nature.com/articles/s41370-026-00848-9" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>5. Inside the Heart: HRV in the Operating Room</h2>
<p>A study in <i>Frontiers in Physiology</i> by Skoczyński et al. took HRV into the most acute setting possible: cardiac surgery. They used short-term HRV metrics to assess the heart's parasympathetic response to rapid atrial pacing.</p>
<ul>
<li>
<p><b>Key Findings:</b> Short-term HRV metrics proved effective for intraoperative assessment of the cardiac parasympathetic response.</p>
</li>
<li>
<p><b>Significance:</b> This demonstrates that HRV isn't just for long-term wellness tracking; it can be used for "micro-assessments" during complex medical procedures to guide surgical decisions.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.3389/fphys.2026.1753958" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>6. The Nightly Grind: Sleep Bruxism and Sleep Apnea</h2>
<p>Przegrałek et al. investigated the "silent modifiers" of autonomic health in a study published in <i>Sleep</i>. They looked at how sleep bruxism (teeth grinding) affects patients already suffering from obstructive sleep apnea (OSA).</p>
<ul>
<li>
<p><b>Key Findings:</b> Bruxism acts as a potential modifier of autonomic function, further destabilizing HRV in patients with OSA.</p>
</li>
<li>
<p><b>Significance:</b> For clinicians treating sleep disorders, this highlights the need to look beyond oxygen levels and consider how muscular tension and grinding during sleep create a "double hit" to the autonomic nervous system.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.1016/j.sleep.2026.108900" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>7. Vertigo and the Vagus: The Catestatin Connection</h2>
<p>A fascinating observational study in the <i>Journal of Family Medicine and Primary Care</i> examined the relationship between vertigo, baroreceptor sensitivity, and a protein called catestatin.</p>
<ul>
<li>
<p><b>Key Findings:</b> Patients with vertigo showed significant associations between suppressed HRV and altered serum catestatin levels.</p>
</li>
<li>
<p><b>Significance:</b> This adds a biochemical layer to our understanding of balance disorders, suggesting that vertigo is deeply intertwined with systemic autonomic dysregulation.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://journals.lww.com/jfmpc/fulltext/2026/01000/assessment_of_heart_rate_variability,_baroreceptor.37.aspx" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>8. Precision Under Fire: Psychological Skills for Police</h2>
<p>In <i>Frontiers in Psychology</i>, Liang et al. conducted a randomized controlled trial on a novel training program for police pistol use across high-stress operational scenarios.</p>
<ul>
<li>
<p><b>Key Findings:</b> Integrated psychological skill training improved performance and stabilized autonomic responses (HRV) during tactical shooting.</p>
</li>
<li>
<p><b>Significance:</b> This confirms that "tactical breathing" and psychological conditioning are not just "soft skills"—they are physiological requirements for maintaining accuracy and decision-making under life-or-death pressure.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.3389/fpsyg.2026.1806651" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>9. The Digital Athlete: Acute Effects of Esports on HRV</h2>
<p>A systematic review and meta-analysis in <i>Frontiers in Physiology</i> by Lyu et al. addressed the growing world of professional gaming.</p>
<ul>
<li>
<p><b>Key Findings:</b> Esports induce significant acute changes in HRV, reflecting high levels of mental stress and sympathetic activation, similar to those observed in traditional high-pressure sports.</p>
</li>
<li>
<p><b>Significance:</b> This legitimizes the need for "autonomic recovery" protocols for professional gamers, who may be suffering from chronic sympathetic dominance despite the sedentary nature of their "sport."</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.3389/fphys.2026.1762922" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h2>10. Lighting the Way: Photobiomodulation and Recovery</h2>
<p>Finally, Pereira et al. published a trial in the <i>Journal of Biophotonics</i> examining how light therapy (Photobiomodulation) affects HRV in physically active individuals.</p>
<ul>
<li>
<p><b>Key Findings:</b> Acute light therapy application was shown to modulate HRV, facilitating the transition from a stressed to a recovery state.</p>
</li>
<li>
<p><b>Significance:</b> This reinforces the "passive regulation" trend, suggesting that targeted light therapy could be a powerful tool for athletes to "jumpstart" their parasympathetic recovery after intense training.</p>
</li>
<li>
<p><b>Study Link:</b> <a href="https://doi.org/10.1002/jbio.70242" target="_blank" rel="noreferrer noopener">View Article</a></p>
</li>
</ul>
<h3>Key Themes from This Week</h3>
<ul>
<li>
<p><b>The Environment as a Stressor:</b> Multiple studies this week highlight how heat—both in the lab and in the field—is a primary antagonist to autonomic health and cognitive performance.</p>
</li>
<li>
<p><b>HRV as a "Bridge":</b> From pain to alcohol cravings, HRV is being used as the missing link between a psychological "trigger" and a physical "action."</p>
</li>
<li>
<p><b>Cross-Domain Applications:</b> Whether it’s a police officer on the range, a gamer in a tournament, or a surgeon in the OR, HRV is becoming the universal language of performance and safety.</p>
</li>
</ul>
<p><b>Sponsored by Optimal HRV:</b></p>
<p>This episode is sponsored by Optimal HRV. Get the most out of your data with resonance-frequency breathing and curated session views.</p>
<p><a href="https://optimalhrv.com/" target="_blank" rel="noreferrer noopener">Learn more at optimalhrv.com</a></p>
<p><b>Medical Disclaimer:</b> This podcast is for educational purposes only. Always consult a healthcare professional before changing your health or recovery protocols.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2407201/c1e-k8z9sdgx4zc94r9x-gp5xm0jqh3qk-mvnriu.mp3" length="47971874"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This week’s edition of This Week in HRV dives into ten fresh studies that illustrate how heart rate variability is being used to decode everything from the heat of the climate to the heat of a high-stakes police encounter. We explore how HRV acts as a mediator for pain, a predictor of cognitive decline in extreme temperatures, and even a marker for the "acute effects" of professional gaming.
1. The Gateway of Fear: HRV, Pain, and Perception
A study in the Journal of Clinical Medicine by Venezia et al. explored the psychological architecture of pain. Researchers investigated whether our physiological "braking system" (HRV) explains why people who fear pain actually feel it more intensely.


Key Findings: The study found that HRV significantly mediates the relationship between a person’s "Fear of Pain" and their actual "Pain Perception." Essentially, a more flexible autonomic nervous system can buffer the impact of fear on the physical experience of pain.


Significance: This suggests that improving autonomic regulation isn't just about heart health; it’s a viable strategy for chronic pain management and desensitization.


Study Link: View Article


2. Impulsivity and the Bottle: Alcohol Cue-Induced HRV
Published in Addictive Behaviors Reports, Taniajura and colleagues looked at "cue-reactivity"—how the body responds to the sight or smell of alcohol—and how impulsivity plays a role in drinking behavior.


Key Findings: The research identified a specific link between alcohol-cue-induced HRV changes and subsequent drinking, particularly in individuals with high impulsivity.


Significance: HRV may serve as a real-time "relapse warning system," identifying moments when an individual’s self-regulation is compromised by environmental triggers.


Study Link: View Article


3. Cognitive Performance in the Heat: 150 Minutes of Stress
As global temperatures rise, understanding heat-induced cognitive fatigue is critical. Zhu et al. published a study in Energy and Buildings focusing on human attentional performance during sustained heat exposure.


Key Findings: Using HRV indices, researchers predicted shifts in human attention and performance after 150 minutes of heat exposure.


Significance: This provides a blueprint for "smart buildings" and occupational safety protocols that use wearable HRV data to prevent heat-related errors in industrial settings.


Study Link: View Article


4. Protecting the Frontline: HRV in Agricultural Workers
In a parallel vein to the study above, Lung et al. (published in Nature) utilized lightweight personal sensors to track agricultural workers in the field.


Key Findings: The study validated an "innovative method" for evaluating the immediate impact of environmental heat on the autonomic nervous system of outdoor laborers.


Significance: This moves HRV research out of the lab and into the "real world," proving that mobile sensors can effectively monitor the health of vulnerable populations in extreme climates.


Study Link: View Article


5. Inside the Heart: HRV in the Operating Room
A study in Frontiers in Physiology by Skoczyński et al. took HRV into the most acu...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:49:58</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Stephanie White Invites Us to Partner on the Future of HRV]]>
                </title>
                <pubDate>Thu, 26 Mar 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2362508</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/stephanie-white-invites-us-to-partner-on-the-future-of-hrv</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett talks to Stephanie White about her work to create an HRV database to guide future research and HRV interventions. As always, Stephanie brings her expertise and passion to the show!</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett talks to Stephanie White about her work to create an HRV database to guide future research and HRV interventions. As always, Stephanie brings her expertise and passion to the show!]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Stephanie White Invites Us to Partner on the Future of HRV]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett talks to Stephanie White about her work to create an HRV database to guide future research and HRV interventions. As always, Stephanie brings her expertise and passion to the show!</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2362508/c1e-rqx3ton175sg7mmv-v6w6n8kxfj5q-hozewx.mp3" length="80539411"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett talks to Stephanie White about her work to create an HRV database to guide future research and HRV interventions. As always, Stephanie brings her expertise and passion to the show!]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2362508/c1a-rqx3-mkgk83mnh65-jzbwcm.png"></itunes:image>
                                                                            <itunes:duration>01:19:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 30]]>
                </title>
                <pubDate>Tue, 24 Mar 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2399434</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-30</link>
                                <description>
                                            <![CDATA[<p><strong>This Week in HRV Edition</strong> explores five newly published studies that push the boundaries of how we measure, modulate, and apply heart rate variability. These papers cover a diverse range of topics, including novel non-linear metrics, the efficacy of mindfulness, the future of digital psychiatry, light-based vagal stimulation, and the management of performance anxiety in musicians. A central theme connects these findings: HRV is evolving from a static "snapshot" of health into a dynamic, high-resolution map of human resilience and regulation.</p>
<h3>1. Heart Rate Fragmentation: A New Window into Allostatic Load</h3>
<p>A study published in <i>Applied Psychophysiology and Biofeedback</i> by Jennifer F. Chan, Judith Andersen, and colleagues introduced a novel non-linear HRV metric called <b>Heart Rate Fragmentation (HRF)</b>. Unlike traditional metrics that look at the magnitude of variability, HRF tracks the frequency of "directional changes" in heart rate (accelerations vs. decelerations), which can signal a breakdown in autonomic control.</p>
<ul>
<li>
<p><b>Key Findings:</b> Analyzing 156 healthy adults, researchers found that while traditional HRV indices didn't always distinguish between healthy and "probable mental health" (pMH) groups, <b>HRF reactivity</b> was significantly higher in healthy individuals ($p &lt; 0.001$).</p>
</li>
<li>
<p><b>Significance:</b> HRF may serve as a more sensitive biomarker for <b>allostatic load</b> (the "wear and tear" on the body), capturing subtle autonomic dysregulation that standard time-domain metrics might miss.</p>
</li>
<li>
<p><b>Study link:</b> <a href="https://link.springer.com/article/10.1007/s10484-025-09721-1" target="_blank" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s10484-025-09721-1</a></p>
</li>
</ul>
<h3>2. The Power of Brief Mindfulness Meditation</h3>
<p>A systematic review published in <i>Applied Psychophysiology and Biofeedback</i> investigated whether "Brief Mindfulness Meditation" (BMM) is sufficient to induce measurable changes in cardiac autonomic tone. The research team synthesized data from across four major databases to clarify the "dose-response" relationship between mindfulness and HRV.</p>
<ul>
<li>
<p><b>Key Findings:</b> The review highlights that even single-session or short-term mindfulness interventions can significantly influence HRV, particularly increasing parasympathetic markers.</p>
</li>
<li>
<p><b>Significance:</b> This provides robust evidence for the clinical use of "micro-interventions," suggesting that patients and athletes don't necessarily need years of practice to begin re-regulating their autonomic "baseline."</p>
</li>
<li>
<p><b>Study link:</b> <a href="https://link.springer.com/article/10.1007/s10484-025-09724-y" target="_blank" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s10484-025-09724-y</a></p>
</li>
</ul>
<h3>3. Setting Digital Psychiatry in Motion</h3>
<p>A perspective published in <i>NPP—Digital Psychiatry and Neuroscience</i> (Nature Portfolio) by Axel Constant, Emre Koksal, and Lena Palaniyappan argues for a shift toward <b>Dynamic Digital Markers (DDMs)</b>. The authors critique "static" entropy measures, which summarize data over long periods, potentially losing the "motion" of psychiatric symptoms.</p>
<ul>
<li>
<p><b>The Proposal:</b> By using smartphones and wearables to track moment-to-moment temporal dependencies, clinicians can capture the <b>dynamic regulatory mechanisms</b> of psychopathology.</p>
</li>
<li>
<p><b>Significance:</b> This approach moves HRV and digital phenotyping from a diagnostic "label" to a "weather map" that can predict shifting, unstable mental states in real time.</p>
</li>
<li>
<p><b>Study link:</b> <a href="https://www.nature.com/articles/s44277-026-00059-y" target="_blank" rel="noreferrer noopener">https://www.nature.com/articles/s44277-026-00059-y</a></p>
</li>
</ul>
<h3>4. Photobiomodulation: Light Therapy for the Vagus...</h3>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This Week in HRV Edition explores five newly published studies that push the boundaries of how we measure, modulate, and apply heart rate variability. These papers cover a diverse range of topics, including novel non-linear metrics, the efficacy of mindfulness, the future of digital psychiatry, light-based vagal stimulation, and the management of performance anxiety in musicians. A central theme connects these findings: HRV is evolving from a static "snapshot" of health into a dynamic, high-resolution map of human resilience and regulation.
1. Heart Rate Fragmentation: A New Window into Allostatic Load
A study published in Applied Psychophysiology and Biofeedback by Jennifer F. Chan, Judith Andersen, and colleagues introduced a novel non-linear HRV metric called Heart Rate Fragmentation (HRF). Unlike traditional metrics that look at the magnitude of variability, HRF tracks the frequency of "directional changes" in heart rate (accelerations vs. decelerations), which can signal a breakdown in autonomic control.


Key Findings: Analyzing 156 healthy adults, researchers found that while traditional HRV indices didn't always distinguish between healthy and "probable mental health" (pMH) groups, HRF reactivity was significantly higher in healthy individuals ($p < 0.001$).


Significance: HRF may serve as a more sensitive biomarker for allostatic load (the "wear and tear" on the body), capturing subtle autonomic dysregulation that standard time-domain metrics might miss.


Study link: https://link.springer.com/article/10.1007/s10484-025-09721-1


2. The Power of Brief Mindfulness Meditation
A systematic review published in Applied Psychophysiology and Biofeedback investigated whether "Brief Mindfulness Meditation" (BMM) is sufficient to induce measurable changes in cardiac autonomic tone. The research team synthesized data from across four major databases to clarify the "dose-response" relationship between mindfulness and HRV.


Key Findings: The review highlights that even single-session or short-term mindfulness interventions can significantly influence HRV, particularly increasing parasympathetic markers.


Significance: This provides robust evidence for the clinical use of "micro-interventions," suggesting that patients and athletes don't necessarily need years of practice to begin re-regulating their autonomic "baseline."


Study link: https://link.springer.com/article/10.1007/s10484-025-09724-y


3. Setting Digital Psychiatry in Motion
A perspective published in NPP—Digital Psychiatry and Neuroscience (Nature Portfolio) by Axel Constant, Emre Koksal, and Lena Palaniyappan argues for a shift toward Dynamic Digital Markers (DDMs). The authors critique "static" entropy measures, which summarize data over long periods, potentially losing the "motion" of psychiatric symptoms.


The Proposal: By using smartphones and wearables to track moment-to-moment temporal dependencies, clinicians can capture the dynamic regulatory mechanisms of psychopathology.


Significance: This approach moves HRV and digital phenotyping from a diagnostic "label" to a "weather map" that can predict shifting, unstable mental states in real time.


Study link: https://www.nature.com/articles/s44277-026-00059-y


4. Photobiomodulation: Light Therapy for the Vagus...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 30]]>
                </itunes:title>
                                    <itunes:episode>30</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>This Week in HRV Edition</strong> explores five newly published studies that push the boundaries of how we measure, modulate, and apply heart rate variability. These papers cover a diverse range of topics, including novel non-linear metrics, the efficacy of mindfulness, the future of digital psychiatry, light-based vagal stimulation, and the management of performance anxiety in musicians. A central theme connects these findings: HRV is evolving from a static "snapshot" of health into a dynamic, high-resolution map of human resilience and regulation.</p>
<h3>1. Heart Rate Fragmentation: A New Window into Allostatic Load</h3>
<p>A study published in <i>Applied Psychophysiology and Biofeedback</i> by Jennifer F. Chan, Judith Andersen, and colleagues introduced a novel non-linear HRV metric called <b>Heart Rate Fragmentation (HRF)</b>. Unlike traditional metrics that look at the magnitude of variability, HRF tracks the frequency of "directional changes" in heart rate (accelerations vs. decelerations), which can signal a breakdown in autonomic control.</p>
<ul>
<li>
<p><b>Key Findings:</b> Analyzing 156 healthy adults, researchers found that while traditional HRV indices didn't always distinguish between healthy and "probable mental health" (pMH) groups, <b>HRF reactivity</b> was significantly higher in healthy individuals ($p &lt; 0.001$).</p>
</li>
<li>
<p><b>Significance:</b> HRF may serve as a more sensitive biomarker for <b>allostatic load</b> (the "wear and tear" on the body), capturing subtle autonomic dysregulation that standard time-domain metrics might miss.</p>
</li>
<li>
<p><b>Study link:</b> <a href="https://link.springer.com/article/10.1007/s10484-025-09721-1" target="_blank" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s10484-025-09721-1</a></p>
</li>
</ul>
<h3>2. The Power of Brief Mindfulness Meditation</h3>
<p>A systematic review published in <i>Applied Psychophysiology and Biofeedback</i> investigated whether "Brief Mindfulness Meditation" (BMM) is sufficient to induce measurable changes in cardiac autonomic tone. The research team synthesized data from across four major databases to clarify the "dose-response" relationship between mindfulness and HRV.</p>
<ul>
<li>
<p><b>Key Findings:</b> The review highlights that even single-session or short-term mindfulness interventions can significantly influence HRV, particularly increasing parasympathetic markers.</p>
</li>
<li>
<p><b>Significance:</b> This provides robust evidence for the clinical use of "micro-interventions," suggesting that patients and athletes don't necessarily need years of practice to begin re-regulating their autonomic "baseline."</p>
</li>
<li>
<p><b>Study link:</b> <a href="https://link.springer.com/article/10.1007/s10484-025-09724-y" target="_blank" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s10484-025-09724-y</a></p>
</li>
</ul>
<h3>3. Setting Digital Psychiatry in Motion</h3>
<p>A perspective published in <i>NPP—Digital Psychiatry and Neuroscience</i> (Nature Portfolio) by Axel Constant, Emre Koksal, and Lena Palaniyappan argues for a shift toward <b>Dynamic Digital Markers (DDMs)</b>. The authors critique "static" entropy measures, which summarize data over long periods, potentially losing the "motion" of psychiatric symptoms.</p>
<ul>
<li>
<p><b>The Proposal:</b> By using smartphones and wearables to track moment-to-moment temporal dependencies, clinicians can capture the <b>dynamic regulatory mechanisms</b> of psychopathology.</p>
</li>
<li>
<p><b>Significance:</b> This approach moves HRV and digital phenotyping from a diagnostic "label" to a "weather map" that can predict shifting, unstable mental states in real time.</p>
</li>
<li>
<p><b>Study link:</b> <a href="https://www.nature.com/articles/s44277-026-00059-y" target="_blank" rel="noreferrer noopener">https://www.nature.com/articles/s44277-026-00059-y</a></p>
</li>
</ul>
<h3>4. Photobiomodulation: Light Therapy for the Vagus Nerve</h3>
<p>A randomized controlled trial published in <i>Scientific Reports</i> (available via PMC) explored an innovative intervention: <b>Photobiomodulation (PBM)</b>. Researchers applied light therapy to the infra-auricular region (targeting the vagus nerve) in physically active individuals to see if it could modulate autonomic recovery following exercise.</p>
<ul>
<li>
<p><b>Key Findings:</b> The study is the first to demonstrate that non-invasive light acting on the vagal pathway can influence HRV parameters. It suggests that PBM may offer a "passive" way to enhance vagal control over the heart.</p>
</li>
<li>
<p><b>Significance:</b> This opens a new frontier for "bio-hacking" and clinical recovery, providing a potential technological shortcut to enhance parasympathetic tone without requiring active participation, such as breathing or meditation.</p>
</li>
<li>
<p><b>Study link:</b> <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12976981/" target="_blank" rel="noreferrer noopener">https://pmc.ncbi.nlm.nih.gov/articles/PMC12976981/</a></p>
</li>
</ul>
<h3>5. Biofeedback for Music Performance Anxiety</h3>
<p>A systematic review in <i>Applied Psychophysiology and Biofeedback</i> examined the use of HRV and neurofeedback to manage <b>Music Performance Anxiety (MPA)</b>. Musicians often face extreme sympathetic arousal that can degrade fine motor skills and performance quality.</p>
<ul>
<li>
<p><b>Key Findings:</b> Structured biofeedback training programs significantly enhanced musicians' capacity for self-regulation. Successful interventions were associated with improved HRV and higher scores on the Kenny Music Performance Anxiety Inventory (K-MPAI) and the Music Performance Quality Scale (MPQ).</p>
</li>
<li>
<p><b>Significance:</b> The study emphasizes that for high-stakes performers, HRV biofeedback isn't just about "calming down"—it’s about finding the optimal "resonance frequency" to maintain technical precision under pressure.</p>
</li>
<li>
<p><b>Study link:</b> <a href="https://link.springer.com/article/10.1007/s10484-025-09722-0" target="_blank" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s10484-025-09722-0</a></p>
</li>
</ul>
<h3>Key Themes from This Week</h3>
<ul>
<li>
<p><b>Moving Beyond the Average:</b> New metrics like Heart Rate Fragmentation and Dynamic Digital Markers show that <i>how</i> heart rate changes over time is as important as <em>the magnitude</em> of those changes.</p>
</li>
<li>
<p><b>Passive vs. Active Regulation:</b> While mindfulness remains the gold standard for active regulation, emerging technologies such as photobiomodulation offer passive ways to support the vagal brake.</p>
</li>
<li>
<p><b>Precision Performance:</b> Biofeedback continues to prove its worth in high-pressure environments, from the stage to the training ground, by stabilizing the "autonomic basement."</p>
</li>
</ul>
<h3>Sponsored by Optimal HRV</h3>
<p>This episode is sponsored by <b>Optimal HRV</b>. Optimal HRV provides research-based measurement and resonance-frequency breathing guidance. Recent updates include independent widget toggles for the heart rate chart, OZ gauge, pacer, and suggestions, allowing users to curate their session view. The team is also implementing font scaling fixes and preparing for upcoming mindfulness audio integration.</p>
<p><b>Learn more:</b> <a href="https://optimalhrv.com/" target="_blank" rel="noreferrer noopener">https://optimalhrv.com</a></p>
<h3>Medical Disclaimer</h3>
<p>This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before applying any strategies discussed.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2399434/c1e-3w07iw5g7dakqpk6-z34rxvrdbv14-o2yx2o.mp3" length="32662865"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This Week in HRV Edition explores five newly published studies that push the boundaries of how we measure, modulate, and apply heart rate variability. These papers cover a diverse range of topics, including novel non-linear metrics, the efficacy of mindfulness, the future of digital psychiatry, light-based vagal stimulation, and the management of performance anxiety in musicians. A central theme connects these findings: HRV is evolving from a static "snapshot" of health into a dynamic, high-resolution map of human resilience and regulation.
1. Heart Rate Fragmentation: A New Window into Allostatic Load
A study published in Applied Psychophysiology and Biofeedback by Jennifer F. Chan, Judith Andersen, and colleagues introduced a novel non-linear HRV metric called Heart Rate Fragmentation (HRF). Unlike traditional metrics that look at the magnitude of variability, HRF tracks the frequency of "directional changes" in heart rate (accelerations vs. decelerations), which can signal a breakdown in autonomic control.


Key Findings: Analyzing 156 healthy adults, researchers found that while traditional HRV indices didn't always distinguish between healthy and "probable mental health" (pMH) groups, HRF reactivity was significantly higher in healthy individuals ($p < 0.001$).


Significance: HRF may serve as a more sensitive biomarker for allostatic load (the "wear and tear" on the body), capturing subtle autonomic dysregulation that standard time-domain metrics might miss.


Study link: https://link.springer.com/article/10.1007/s10484-025-09721-1


2. The Power of Brief Mindfulness Meditation
A systematic review published in Applied Psychophysiology and Biofeedback investigated whether "Brief Mindfulness Meditation" (BMM) is sufficient to induce measurable changes in cardiac autonomic tone. The research team synthesized data from across four major databases to clarify the "dose-response" relationship between mindfulness and HRV.


Key Findings: The review highlights that even single-session or short-term mindfulness interventions can significantly influence HRV, particularly increasing parasympathetic markers.


Significance: This provides robust evidence for the clinical use of "micro-interventions," suggesting that patients and athletes don't necessarily need years of practice to begin re-regulating their autonomic "baseline."


Study link: https://link.springer.com/article/10.1007/s10484-025-09724-y


3. Setting Digital Psychiatry in Motion
A perspective published in NPP—Digital Psychiatry and Neuroscience (Nature Portfolio) by Axel Constant, Emre Koksal, and Lena Palaniyappan argues for a shift toward Dynamic Digital Markers (DDMs). The authors critique "static" entropy measures, which summarize data over long periods, potentially losing the "motion" of psychiatric symptoms.


The Proposal: By using smartphones and wearables to track moment-to-moment temporal dependencies, clinicians can capture the dynamic regulatory mechanisms of psychopathology.


Significance: This approach moves HRV and digital phenotyping from a diagnostic "label" to a "weather map" that can predict shifting, unstable mental states in real time.


Study link: https://www.nature.com/articles/s44277-026-00059-y


4. Photobiomodulation: Light Therapy for the Vagus...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:34:01</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 29]]>
                </title>
                <pubDate>Tue, 17 Mar 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2392414</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-29</link>
                                <description>
                                            <![CDATA[<p>This Week in HRV Edition explores four newly published studies that highlight the remarkable breadth of heart rate variability research. These papers span nutritional neuroscience, digital phenotyping in social virtual reality, neonatal intensive care, and ophthalmic hemodynamics. Across all four studies, one theme emerges clearly: HRV reflects the structure of physiological adaptability. The nervous system is constantly adjusting to nutritional status, social environments, developmental maturity, and systemic vascular health. HRV captures those adjustments as patterns of variability, complexity, and stability.</p>
<p><b>1. Nutritional Modulation of the Vagal Brake</b></p>
<p>A systematic review and meta-analysis published in the World Journal of Clinical Pediatrics investigated how Omega-3 fatty acid supplementation influences cardiac autonomic regulation. Researchers Hoda Atef Abdelsattar Ibrahim, Kamal Gouda Kamal, Mohamed Khaled Ali Mohamed Ali Zid, Albraa Ashraf Hamad, Ayesha Kuraishi, and Marwa Taha analyzed data from multiple randomized controlled trials. The results showed that Omega-3 supplementation was associated with a significant increase in time-domain HRV indices, including RMSSD and SDNN. <sup></sup> This suggests that essential fatty acids may enhance the sinoatrial node's sensitivity to parasympathetic input, thereby stabilizing the heart's electrical threshold.</p>
<p><sup></sup> Study link: <a href="https://www.wjgnet.com/2219-2808/full/v15/i1/116331.htm" target="_blank" rel="noreferrer noopener">https://www.wjgnet.com/2219-2808/full/v15/i1/116331.htm</a> <sup></sup></p>
<p></p>
<p><b>2. Social Anxiety and Autonomic Expression in VR</b> A study published in the Journal of Medical Internet Research explored the automated inference of social anxiety using behavioral data captured in virtual reality. Authors Gayoung Son and Marius Rubo used eye trackers and microphones to monitor 128 participants during a 30-minute social interaction. <sup></sup> Higher levels of social anxiety were significantly linked to:</p>
<p></p>
<ul>
<li>
<p>Reduced high-frequency HRV (HF-HRV) <sup></sup></p>
<p></p>
</li>
<li>
<p>Reduced gaze toward the partner’s eyes while speaking <sup></sup></p>
<p></p>
</li>
<li>
<p>Quieter speech volume: The study found a strong correlation (r = 0.94) between these behaviors and broader psychopathology, suggesting that our "autonomic basement" displays consistent safety behaviors across digital and physical environments.</p>
</li>
</ul>
<p><sup></sup> Study link: <a href="https://www.jmir.org/2026/1/e79147" target="_blank" rel="noreferrer noopener">https://www.jmir.org/2026/1/e79147</a> <sup></sup></p>
<p></p>
<p><b>3. HRV as a Sentinel for Neonatal Morbidity</b></p>
<p>A study published in Pediatric Research by Karen D. Fairchild examined the predictive value of depressed HRV in the neonatal intensive care unit. <sup></sup> The study utilized advanced signal processing to monitor cardioregulatory patterns in both preterm and term infants. <sup></sup> Lower HRV indices were robustly linked to:</p>
<p></p>
<ul>
<li>
<p>Intraventricular hemorrhage (IVH) <sup></sup></p>
<p></p>
</li>
<li>
<p>Necrotizing enterocolitis (NEC) <sup></sup></p>
<p></p>
</li>
<li>
<p>Chronic lung disease: While depressed HRV serves as a "canary in the coal mine," the author emphasizes that predictive power varies by gestational age and postnatal development, requiring context-aware clinical interpretation.</p>
</li>
</ul>
<p>Study link: <a href="https://www.nature.com/articles/s41390-026-04897-6" target="_blank" rel="noreferrer noopener">https://www.nature.com/articles/s41390-026-04897-6</a></p>
<p></p>
<p></p>
<p><b>4. Ocular Hemodynamics and Systemic Autonomic Health</b> A study published in PLOS ONE investigated the relationship between heart rate variability and retinal vein occlusion (RVO) in glaucoma patients. <sup></sup> Researchers Ji Hye Lee and Young-Hoon Park compared 29 patients who developed RVO with 34 con...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This Week in HRV Edition explores four newly published studies that highlight the remarkable breadth of heart rate variability research. These papers span nutritional neuroscience, digital phenotyping in social virtual reality, neonatal intensive care, and ophthalmic hemodynamics. Across all four studies, one theme emerges clearly: HRV reflects the structure of physiological adaptability. The nervous system is constantly adjusting to nutritional status, social environments, developmental maturity, and systemic vascular health. HRV captures those adjustments as patterns of variability, complexity, and stability.
1. Nutritional Modulation of the Vagal Brake
A systematic review and meta-analysis published in the World Journal of Clinical Pediatrics investigated how Omega-3 fatty acid supplementation influences cardiac autonomic regulation. Researchers Hoda Atef Abdelsattar Ibrahim, Kamal Gouda Kamal, Mohamed Khaled Ali Mohamed Ali Zid, Albraa Ashraf Hamad, Ayesha Kuraishi, and Marwa Taha analyzed data from multiple randomized controlled trials. The results showed that Omega-3 supplementation was associated with a significant increase in time-domain HRV indices, including RMSSD and SDNN.  This suggests that essential fatty acids may enhance the sinoatrial node's sensitivity to parasympathetic input, thereby stabilizing the heart's electrical threshold.
 Study link: https://www.wjgnet.com/2219-2808/full/v15/i1/116331.htm 

2. Social Anxiety and Autonomic Expression in VR A study published in the Journal of Medical Internet Research explored the automated inference of social anxiety using behavioral data captured in virtual reality. Authors Gayoung Son and Marius Rubo used eye trackers and microphones to monitor 128 participants during a 30-minute social interaction.  Higher levels of social anxiety were significantly linked to:



Reduced high-frequency HRV (HF-HRV) 



Reduced gaze toward the partner’s eyes while speaking 



Quieter speech volume: The study found a strong correlation (r = 0.94) between these behaviors and broader psychopathology, suggesting that our "autonomic basement" displays consistent safety behaviors across digital and physical environments.


 Study link: https://www.jmir.org/2026/1/e79147 

3. HRV as a Sentinel for Neonatal Morbidity
A study published in Pediatric Research by Karen D. Fairchild examined the predictive value of depressed HRV in the neonatal intensive care unit.  The study utilized advanced signal processing to monitor cardioregulatory patterns in both preterm and term infants.  Lower HRV indices were robustly linked to:



Intraventricular hemorrhage (IVH) 



Necrotizing enterocolitis (NEC) 



Chronic lung disease: While depressed HRV serves as a "canary in the coal mine," the author emphasizes that predictive power varies by gestational age and postnatal development, requiring context-aware clinical interpretation.


Study link: https://www.nature.com/articles/s41390-026-04897-6


4. Ocular Hemodynamics and Systemic Autonomic Health A study published in PLOS ONE investigated the relationship between heart rate variability and retinal vein occlusion (RVO) in glaucoma patients.  Researchers Ji Hye Lee and Young-Hoon Park compared 29 patients who developed RVO with 34 con...]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 29]]>
                </itunes:title>
                                    <itunes:episode>29</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>This Week in HRV Edition explores four newly published studies that highlight the remarkable breadth of heart rate variability research. These papers span nutritional neuroscience, digital phenotyping in social virtual reality, neonatal intensive care, and ophthalmic hemodynamics. Across all four studies, one theme emerges clearly: HRV reflects the structure of physiological adaptability. The nervous system is constantly adjusting to nutritional status, social environments, developmental maturity, and systemic vascular health. HRV captures those adjustments as patterns of variability, complexity, and stability.</p>
<p><b>1. Nutritional Modulation of the Vagal Brake</b></p>
<p>A systematic review and meta-analysis published in the World Journal of Clinical Pediatrics investigated how Omega-3 fatty acid supplementation influences cardiac autonomic regulation. Researchers Hoda Atef Abdelsattar Ibrahim, Kamal Gouda Kamal, Mohamed Khaled Ali Mohamed Ali Zid, Albraa Ashraf Hamad, Ayesha Kuraishi, and Marwa Taha analyzed data from multiple randomized controlled trials. The results showed that Omega-3 supplementation was associated with a significant increase in time-domain HRV indices, including RMSSD and SDNN. <sup></sup> This suggests that essential fatty acids may enhance the sinoatrial node's sensitivity to parasympathetic input, thereby stabilizing the heart's electrical threshold.</p>
<p><sup></sup> Study link: <a href="https://www.wjgnet.com/2219-2808/full/v15/i1/116331.htm" target="_blank" rel="noreferrer noopener">https://www.wjgnet.com/2219-2808/full/v15/i1/116331.htm</a> <sup></sup></p>
<p></p>
<p><b>2. Social Anxiety and Autonomic Expression in VR</b> A study published in the Journal of Medical Internet Research explored the automated inference of social anxiety using behavioral data captured in virtual reality. Authors Gayoung Son and Marius Rubo used eye trackers and microphones to monitor 128 participants during a 30-minute social interaction. <sup></sup> Higher levels of social anxiety were significantly linked to:</p>
<p></p>
<ul>
<li>
<p>Reduced high-frequency HRV (HF-HRV) <sup></sup></p>
<p></p>
</li>
<li>
<p>Reduced gaze toward the partner’s eyes while speaking <sup></sup></p>
<p></p>
</li>
<li>
<p>Quieter speech volume: The study found a strong correlation (r = 0.94) between these behaviors and broader psychopathology, suggesting that our "autonomic basement" displays consistent safety behaviors across digital and physical environments.</p>
</li>
</ul>
<p><sup></sup> Study link: <a href="https://www.jmir.org/2026/1/e79147" target="_blank" rel="noreferrer noopener">https://www.jmir.org/2026/1/e79147</a> <sup></sup></p>
<p></p>
<p><b>3. HRV as a Sentinel for Neonatal Morbidity</b></p>
<p>A study published in Pediatric Research by Karen D. Fairchild examined the predictive value of depressed HRV in the neonatal intensive care unit. <sup></sup> The study utilized advanced signal processing to monitor cardioregulatory patterns in both preterm and term infants. <sup></sup> Lower HRV indices were robustly linked to:</p>
<p></p>
<ul>
<li>
<p>Intraventricular hemorrhage (IVH) <sup></sup></p>
<p></p>
</li>
<li>
<p>Necrotizing enterocolitis (NEC) <sup></sup></p>
<p></p>
</li>
<li>
<p>Chronic lung disease: While depressed HRV serves as a "canary in the coal mine," the author emphasizes that predictive power varies by gestational age and postnatal development, requiring context-aware clinical interpretation.</p>
</li>
</ul>
<p>Study link: <a href="https://www.nature.com/articles/s41390-026-04897-6" target="_blank" rel="noreferrer noopener">https://www.nature.com/articles/s41390-026-04897-6</a></p>
<p></p>
<p></p>
<p><b>4. Ocular Hemodynamics and Systemic Autonomic Health</b> A study published in PLOS ONE investigated the relationship between heart rate variability and retinal vein occlusion (RVO) in glaucoma patients. <sup></sup> Researchers Ji Hye Lee and Young-Hoon Park compared 29 patients who developed RVO with 34 controls. <sup></sup> The RVO group showed significantly lower autonomic and vascular markers:</p>
<p></p>
<ul>
<li>
<p>SDNN was 22.12 \pm 8.27 compared to 36.71 \pm 24.74 in controls (p = 0.002) <sup></sup></p>
<p></p>
</li>
<li>
<p>RMSSD was 16.34 \pm 9.55 compared to 29.87 \pm 31.58 in controls (p = 0.022) <sup></sup></p>
<p></p>
</li>
<li>
<p>Significantly lower Choroidal Vascularity Index (CVI): This suggests that low HRV may be a vulnerability marker for ocular vascular complications, reflecting a systemic lack of hemodynamic stability.</p>
</li>
</ul>
<p><sup></sup> Study link: <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0324110" target="_blank" rel="noreferrer noopener">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0324110</a> <sup></sup></p>
<p></p>
<p><b>Key Themes from This Week</b></p>
<p>Across these studies, several important themes emerge:</p>
<ul>
<li>
<p>A nutritional substrate (Omega-3s) stabilizes the cardiac circuitry.</p>
</li>
<li>
<p>Digital environments can mirror naturalistic autonomic safety behaviors.</p>
</li>
<li>
<p>Depressed HRV provides a predictive window for systemic illness in critical care.</p>
</li>
<li>
<p>Systemic hemodynamic instability is a risk factor for localized organ failure.</p>
<p>Heart rate variability continues to demonstrate its value not as a single number, but as a dynamic reflection of adaptability across the entire lifespan.</p>
</li>
</ul>
<p><b>Sponsored by Optimal HRV</b></p>
<p>This episode is sponsored by Optimal HRV. Optimal HRV provides research-based measurement and resonance-frequency breathing guidance. Recent updates include independent widget toggles for the heart rate chart, OZ gauge, pacer, and suggestions, allowing users to curate their session view. <sup></sup> The team is also implementing font scaling fixes and preparing for upcoming mindfulness audio integration. <sup></sup> Learn more: <a href="https://optimalhrv.com/" target="_blank" rel="noreferrer noopener">https://optimalhrv.com</a></p>
<p></p>
<p><b>Medical Disclaimer</b></p>
<p>This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before applying any strategies discussed.</p>]]>
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                                <itunes:summary>
                    <![CDATA[This Week in HRV Edition explores four newly published studies that highlight the remarkable breadth of heart rate variability research. These papers span nutritional neuroscience, digital phenotyping in social virtual reality, neonatal intensive care, and ophthalmic hemodynamics. Across all four studies, one theme emerges clearly: HRV reflects the structure of physiological adaptability. The nervous system is constantly adjusting to nutritional status, social environments, developmental maturity, and systemic vascular health. HRV captures those adjustments as patterns of variability, complexity, and stability.
1. Nutritional Modulation of the Vagal Brake
A systematic review and meta-analysis published in the World Journal of Clinical Pediatrics investigated how Omega-3 fatty acid supplementation influences cardiac autonomic regulation. Researchers Hoda Atef Abdelsattar Ibrahim, Kamal Gouda Kamal, Mohamed Khaled Ali Mohamed Ali Zid, Albraa Ashraf Hamad, Ayesha Kuraishi, and Marwa Taha analyzed data from multiple randomized controlled trials. The results showed that Omega-3 supplementation was associated with a significant increase in time-domain HRV indices, including RMSSD and SDNN.  This suggests that essential fatty acids may enhance the sinoatrial node's sensitivity to parasympathetic input, thereby stabilizing the heart's electrical threshold.
 Study link: https://www.wjgnet.com/2219-2808/full/v15/i1/116331.htm 

2. Social Anxiety and Autonomic Expression in VR A study published in the Journal of Medical Internet Research explored the automated inference of social anxiety using behavioral data captured in virtual reality. Authors Gayoung Son and Marius Rubo used eye trackers and microphones to monitor 128 participants during a 30-minute social interaction.  Higher levels of social anxiety were significantly linked to:



Reduced high-frequency HRV (HF-HRV) 



Reduced gaze toward the partner’s eyes while speaking 



Quieter speech volume: The study found a strong correlation (r = 0.94) between these behaviors and broader psychopathology, suggesting that our "autonomic basement" displays consistent safety behaviors across digital and physical environments.


 Study link: https://www.jmir.org/2026/1/e79147 

3. HRV as a Sentinel for Neonatal Morbidity
A study published in Pediatric Research by Karen D. Fairchild examined the predictive value of depressed HRV in the neonatal intensive care unit.  The study utilized advanced signal processing to monitor cardioregulatory patterns in both preterm and term infants.  Lower HRV indices were robustly linked to:



Intraventricular hemorrhage (IVH) 



Necrotizing enterocolitis (NEC) 



Chronic lung disease: While depressed HRV serves as a "canary in the coal mine," the author emphasizes that predictive power varies by gestational age and postnatal development, requiring context-aware clinical interpretation.


Study link: https://www.nature.com/articles/s41390-026-04897-6


4. Ocular Hemodynamics and Systemic Autonomic Health A study published in PLOS ONE investigated the relationship between heart rate variability and retinal vein occlusion (RVO) in glaucoma patients.  Researchers Ji Hye Lee and Young-Hoon Park compared 29 patients who developed RVO with 34 con...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:19:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Ana Miranda Talks Heart Rate Variability and Allostatic Load]]>
                </title>
                <pubDate>Thu, 12 Mar 2026 06:03:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
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                    https://permalink.castos.com/podcast/10649/episode/2346399</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/ana-miranda-talks-heart-rate-variability-and-allostatic-load</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett interviews Ana Miranda about her research on HRV, allostatic load, and the stress response. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett interviews Ana Miranda about her research on HRV, allostatic load, and the stress response. ]]>
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                    <![CDATA[Ana Miranda Talks Heart Rate Variability and Allostatic Load]]>
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                    <![CDATA[<p>In this episode, Matt Bennett interviews Ana Miranda about her research on HRV, allostatic load, and the stress response. </p>]]>
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                    <![CDATA[In this episode, Matt Bennett interviews Ana Miranda about her research on HRV, allostatic load, and the stress response. ]]>
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                                                                            <itunes:duration>00:41:42</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
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                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 28]]>
                </title>
                <pubDate>Tue, 10 Mar 2026 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2384736</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-28</link>
                                <description>
                                            <![CDATA[<p style="font-size:medium;">In this week’s episode of <strong>The Heart Rate Variability Podcast: This Week in HRV Edition</strong>, we explore seven newly published studies that highlight the remarkable breadth of heart rate variability research.</p>
<p style="font-size:medium;">These papers span wearable digital biomarkers, sleep medicine, machine learning and mental health, critical care pharmacology, virtual environments, stroke recovery, and intermittent hypoxia.</p>
<p style="font-size:medium;">Across all seven studies, one theme emerges clearly:</p>
<p style="font-size:medium;"><strong>HRV reflects the structure of physiological adaptability.</strong></p>
<p style="font-size:medium;">The nervous system is constantly adjusting to behavioral habits, environmental stressors, emotional meaning, and disease processes. HRV captures those adjustments as patterns of variability, complexity, and stability.</p>
<h1>1. HRV Stability as a Digital Biomarker of Behavior</h1>
<p style="font-size:medium;">A large study published in the <strong>American Journal of Physiology – Heart and Circulatory Physiology</strong> examined the stability of HRV measurements across multiple nights of wearable recordings.</p>
<p style="font-size:medium;">Researchers analyzed nearly 2 million nocturnal HRV measurements from over 21,000 individuals.</p>
<p style="font-size:medium;">Instead of focusing on single HRV readings, the study measured the <strong>coefficient of variation of HRV (HRV-CV)</strong> — essentially how much HRV fluctuates from night to night.</p>
<p style="font-size:medium;">The results revealed that <strong>five nights of data are required to reliably estimate a person’s baseline HRV stability</strong>.</p>
<p style="font-size:medium;">Higher HRV variability was associated with:</p>
<ul style="font-size:medium;">
<li>
<p>Greater alcohol consumption</p>
</li>
<li>
<p>Lower physical activity</p>
</li>
<li>
<p>Shorter sleep duration</p>
</li>
<li>
<p>Irregular sleep timing</p>
</li>
</ul>
<p style="font-size:medium;">This suggests that <strong>autonomic stability may function as a digital biomarker of behavioral consistency</strong>.</p>
<p style="font-size:medium;">Study link: <a href="https://journals.physiology.org/doi/10.1152/ajpheart.00738.2025">https://journals.physiology.org/doi/10.1152/ajpheart.00738.2025</a></p>
<h1>2. Sleep Interventions and the “Autonomic Lag”</h1>
<p style="font-size:medium;">A systematic review and meta-analysis published in the <strong>European Heart Journal Open</strong> examined how behavioral sleep interventions influence cardiovascular physiology.</p>
<p style="font-size:medium;">Researchers evaluated randomized controlled trials studying treatments such as <strong>Cognitive Behavioral Therapy for Insomnia (CBT-I)</strong>.</p>
<p style="font-size:medium;">Sleep interventions significantly improved:</p>
<ul style="font-size:medium;">
<li>
<p>Systolic blood pressure</p>
</li>
<li>
<p>Diastolic blood pressure</p>
</li>
</ul>
<p style="font-size:medium;">However, <strong>HRV parameters did not significantly change</strong>.</p>
<p style="font-size:medium;">The researchers propose what may be described as an <strong>“autonomic lag.”</strong></p>
<p style="font-size:medium;">While sleep improvements quickly influence vascular physiology, deeper remodeling of the autonomic nervous system may take <strong>months of consistent behavioral change</strong>.</p>
<p style="font-size:medium;">Study link: <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12915584/">https://pmc.ncbi.nlm.nih.gov/articles/PMC12915584/</a></p>
<h1>3. Machine Learning and HRV-Based Depression Detection</h1>
<p style="font-size:medium;">A study published in <strong>Frontiers in Digital Health</strong> explored whether HRV signals can be used to classify depression using machine learning algorithms.</p>
<p style="font-size:medium;">Researchers addressed a common challenge in biomedical AI: <strong>imbalanced datasets</strong>, where healt...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this week’s episode of The Heart Rate Variability Podcast: This Week in HRV Edition, we explore seven newly published studies that highlight the remarkable breadth of heart rate variability research.
These papers span wearable digital biomarkers, sleep medicine, machine learning and mental health, critical care pharmacology, virtual environments, stroke recovery, and intermittent hypoxia.
Across all seven studies, one theme emerges clearly:
HRV reflects the structure of physiological adaptability.
The nervous system is constantly adjusting to behavioral habits, environmental stressors, emotional meaning, and disease processes. HRV captures those adjustments as patterns of variability, complexity, and stability.
1. HRV Stability as a Digital Biomarker of Behavior
A large study published in the American Journal of Physiology – Heart and Circulatory Physiology examined the stability of HRV measurements across multiple nights of wearable recordings.
Researchers analyzed nearly 2 million nocturnal HRV measurements from over 21,000 individuals.
Instead of focusing on single HRV readings, the study measured the coefficient of variation of HRV (HRV-CV) — essentially how much HRV fluctuates from night to night.
The results revealed that five nights of data are required to reliably estimate a person’s baseline HRV stability.
Higher HRV variability was associated with:


Greater alcohol consumption


Lower physical activity


Shorter sleep duration


Irregular sleep timing


This suggests that autonomic stability may function as a digital biomarker of behavioral consistency.
Study link: https://journals.physiology.org/doi/10.1152/ajpheart.00738.2025
2. Sleep Interventions and the “Autonomic Lag”
A systematic review and meta-analysis published in the European Heart Journal Open examined how behavioral sleep interventions influence cardiovascular physiology.
Researchers evaluated randomized controlled trials studying treatments such as Cognitive Behavioral Therapy for Insomnia (CBT-I).
Sleep interventions significantly improved:


Systolic blood pressure


Diastolic blood pressure


However, HRV parameters did not significantly change.
The researchers propose what may be described as an “autonomic lag.”
While sleep improvements quickly influence vascular physiology, deeper remodeling of the autonomic nervous system may take months of consistent behavioral change.
Study link: https://pmc.ncbi.nlm.nih.gov/articles/PMC12915584/
3. Machine Learning and HRV-Based Depression Detection
A study published in Frontiers in Digital Health explored whether HRV signals can be used to classify depression using machine learning algorithms.
Researchers addressed a common challenge in biomedical AI: imbalanced datasets, where healt...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 28]]>
                </itunes:title>
                                    <itunes:episode>28</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p style="font-size:medium;">In this week’s episode of <strong>The Heart Rate Variability Podcast: This Week in HRV Edition</strong>, we explore seven newly published studies that highlight the remarkable breadth of heart rate variability research.</p>
<p style="font-size:medium;">These papers span wearable digital biomarkers, sleep medicine, machine learning and mental health, critical care pharmacology, virtual environments, stroke recovery, and intermittent hypoxia.</p>
<p style="font-size:medium;">Across all seven studies, one theme emerges clearly:</p>
<p style="font-size:medium;"><strong>HRV reflects the structure of physiological adaptability.</strong></p>
<p style="font-size:medium;">The nervous system is constantly adjusting to behavioral habits, environmental stressors, emotional meaning, and disease processes. HRV captures those adjustments as patterns of variability, complexity, and stability.</p>
<h1>1. HRV Stability as a Digital Biomarker of Behavior</h1>
<p style="font-size:medium;">A large study published in the <strong>American Journal of Physiology – Heart and Circulatory Physiology</strong> examined the stability of HRV measurements across multiple nights of wearable recordings.</p>
<p style="font-size:medium;">Researchers analyzed nearly 2 million nocturnal HRV measurements from over 21,000 individuals.</p>
<p style="font-size:medium;">Instead of focusing on single HRV readings, the study measured the <strong>coefficient of variation of HRV (HRV-CV)</strong> — essentially how much HRV fluctuates from night to night.</p>
<p style="font-size:medium;">The results revealed that <strong>five nights of data are required to reliably estimate a person’s baseline HRV stability</strong>.</p>
<p style="font-size:medium;">Higher HRV variability was associated with:</p>
<ul style="font-size:medium;">
<li>
<p>Greater alcohol consumption</p>
</li>
<li>
<p>Lower physical activity</p>
</li>
<li>
<p>Shorter sleep duration</p>
</li>
<li>
<p>Irregular sleep timing</p>
</li>
</ul>
<p style="font-size:medium;">This suggests that <strong>autonomic stability may function as a digital biomarker of behavioral consistency</strong>.</p>
<p style="font-size:medium;">Study link: <a href="https://journals.physiology.org/doi/10.1152/ajpheart.00738.2025">https://journals.physiology.org/doi/10.1152/ajpheart.00738.2025</a></p>
<h1>2. Sleep Interventions and the “Autonomic Lag”</h1>
<p style="font-size:medium;">A systematic review and meta-analysis published in the <strong>European Heart Journal Open</strong> examined how behavioral sleep interventions influence cardiovascular physiology.</p>
<p style="font-size:medium;">Researchers evaluated randomized controlled trials studying treatments such as <strong>Cognitive Behavioral Therapy for Insomnia (CBT-I)</strong>.</p>
<p style="font-size:medium;">Sleep interventions significantly improved:</p>
<ul style="font-size:medium;">
<li>
<p>Systolic blood pressure</p>
</li>
<li>
<p>Diastolic blood pressure</p>
</li>
</ul>
<p style="font-size:medium;">However, <strong>HRV parameters did not significantly change</strong>.</p>
<p style="font-size:medium;">The researchers propose what may be described as an <strong>“autonomic lag.”</strong></p>
<p style="font-size:medium;">While sleep improvements quickly influence vascular physiology, deeper remodeling of the autonomic nervous system may take <strong>months of consistent behavioral change</strong>.</p>
<p style="font-size:medium;">Study link: <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12915584/">https://pmc.ncbi.nlm.nih.gov/articles/PMC12915584/</a></p>
<h1>3. Machine Learning and HRV-Based Depression Detection</h1>
<p style="font-size:medium;">A study published in <strong>Frontiers in Digital Health</strong> explored whether HRV signals can be used to classify depression using machine learning algorithms.</p>
<p style="font-size:medium;">Researchers addressed a common challenge in biomedical AI: <strong>imbalanced datasets</strong>, where healthy participants greatly outnumber patients.</p>
<p style="font-size:medium;">Using a hybrid method called <strong>SMOTE-ENN</strong>, the team balanced the dataset and trained several models, including:</p>
<ul style="font-size:medium;">
<li>
<p>Support Vector Machines</p>
</li>
<li>
<p>Random Forest</p>
</li>
<li>
<p>Neural Networks</p>
</li>
<li>
<p>K-Nearest Neighbors</p>
</li>
</ul>
<p style="font-size:medium;">The optimized models achieved <strong>over 91% classification accuracy</strong>.</p>
<p style="font-size:medium;">The most influential physiological feature was <strong>SDNN</strong>, representing total autonomic variability.</p>
<p style="font-size:medium;">This reinforces the idea that <strong>depression may involve reduced physiological adaptability within the autonomic nervous system</strong>.</p>
<p style="font-size:medium;">Study link: <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12935896/">https://pmc.ncbi.nlm.nih.gov/articles/PMC12935896/</a></p>
<h1>4. Medication Effects on HRV in Critical Care</h1>
<p style="font-size:medium;">In a review published in <strong>Critical Care Explorations</strong>, researchers investigated how medications commonly used in intensive care settings influence HRV.</p>
<p style="font-size:medium;">The review analyzed twenty-eight major HRV studies involving critically ill patients.</p>
<p style="font-size:medium;">Surprisingly, none of them rigorously accounted for medication exposure.</p>
<p style="font-size:medium;">Yet many ICU medications directly affect autonomic activity:</p>
<ul style="font-size:medium;">
<li>
<p><strong>Beta-blockers</strong> often increase HRV</p>
</li>
<li>
<p><strong>Vasopressors</strong> can dramatically suppress HRV</p>
</li>
<li>
<p><strong>Sedatives such as propofol</strong> alter autonomic tone</p>
</li>
<li>
<p><strong>SSRIs</strong> may decrease HRV</p>
</li>
</ul>
<p style="font-size:medium;">This means HRV signals recorded in ICU environments may reflect <strong>both physiological distress and pharmacological effects</strong>.</p>
<p style="font-size:medium;">Future predictive models will likely need <strong>medication correction factors</strong> to interpret HRV accurately.</p>
<p style="font-size:medium;">Studylink:<a href="https://journals.lww.com/ccejournal/fulltext/2026/03000/medication_effects_on_heart_rate_variability_in.3.aspx">https://journals.lww.com/ccejournal/fulltext/2026/03000/medication_effects_on_heart_rate_variability_in.3.aspx</a></p>
<h1>5. Narrative, Meaning, and Physiological Engagement</h1>
<p style="font-size:medium;">An interdisciplinary study published in <strong>npj Heritage Science</strong> examined how storytelling shapes physiological responses inside virtual environments.</p>
<p style="font-size:medium;">Participants explored a digital reconstruction of an industrial heritage site while researchers recorded <strong>eye-tracking data and heart rate variability</strong>.</p>
<p style="font-size:medium;">Without narrative guidance, participants showed scattered attention patterns and inconsistent physiological responses.</p>
<p style="font-size:medium;">When narrative context was added:</p>
<ul style="font-size:medium;">
<li>
<p>Visual attention became synchronized</p>
</li>
<li>
<p>HRV fluctuations aligned with narrative events</p>
</li>
</ul>
<p style="font-size:medium;">The findings suggest that <strong>meaning itself can organize physiological engagement</strong>.</p>
<p style="font-size:medium;">The nervous system responds not only to physical stimuli, but also to interpretation.</p>
<p style="font-size:medium;">Study link: <a href="https://www.nature.com/articles/s40494-026-02352-7">https://www.nature.com/articles/s40494-026-02352-7</a></p>
<h1>6. HRV Complexity and Stroke Complications</h1>
<p style="font-size:medium;">A study published in <strong>BMC Neurology</strong> investigated whether HRV could predict complications following mechanical thrombectomy in stroke patients.</p>
<p style="font-size:medium;">Researchers analyzed HRV data from <strong>254 patients</strong>.</p>
<p style="font-size:medium;">Instead of traditional HRV measures, they examined <strong>nonlinear complexity metrics</strong>, including <strong>Composite Multiscale Entropy (CMSE)</strong>.</p>
<p style="font-size:medium;">Patients who later developed <strong>hemorrhagic transformation</strong> showed significantly lower HRV complexity.</p>
<p style="font-size:medium;">Reduced complexity may reflect <strong>sympathetic overactivation and impaired autonomic regulation</strong> following severe brain injury.</p>
<p style="font-size:medium;">HRV complexity metrics could eventually become part of <strong>risk monitoring systems in stroke units</strong>.</p>
<p style="font-size:medium;">Study link: <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12911255/">https://pmc.ncbi.nlm.nih.gov/articles/PMC12911255/</a></p>
<h1>7. Intermittent Hypoxia and Autonomic Risk Patterns</h1>
<p style="font-size:medium;">A study published in <strong>Hypertension Research</strong> explored how different patterns of oxygen deprivation affect cardiovascular and neurological outcomes.</p>
<p style="font-size:medium;">Researchers exposed animals to intermittent hypoxia with <strong>different temporal patterns</strong>.</p>
<p style="font-size:medium;">Even though the total oxygen deficit was similar, the outcomes differed dramatically:</p>
<p style="font-size:medium;">Rapid five-second hypoxia cycles produced:</p>
<ul style="font-size:medium;">
<li>
<p>Sustained hypertension</p>
</li>
<li>
<p>Severe autonomic dysfunction</p>
</li>
</ul>
<p style="font-size:medium;">Longer ten-second hypoxia cycles produced:</p>
<ul style="font-size:medium;">
<li>
<p>Neuroinflammation</p>
</li>
<li>
<p>Memory impairment</p>
</li>
</ul>
<p style="font-size:medium;">These findings highlight a crucial insight:</p>
<p style="font-size:medium;"><strong>The timing of physiological stress can determine which organ systems are affected.</strong></p>
<p style="font-size:medium;">Study link: <a href="https://www.nature.com/articles/s41440-026-02588-7">https://www.nature.com/articles/s41440-026-02588-7</a></p>
<h1>Key Themes from This Week</h1>
<p style="font-size:medium;">Across these studies, several important themes emerge:</p>
<ul>
<li style="font-size:medium;">Autonomic stability reflects behavioral patterns</li>
<li style="font-size:medium;">Sleep improvements may precede HRV changes</li>
<li style="font-size:medium;">Machine learning may unlock HRV biomarkers for mental health</li>
<li style="font-size:medium;">Medication exposure can distort HRV interpretation</li>
<li style="font-size:medium;">Meaning and narrative can shape physiological engagement</li>
<li style="font-size:medium;">Reduced HRV complexity may signal neurological risk</li>
<li style="font-size:medium;">The structure of stress exposure influences disease outcomes</li>
</ul>
<p style="font-size:medium;">Heart rate variability continues to demonstrate its value <strong>not as a single number, but as a dynamic reflection of adaptability across biological systems.</strong></p>
<h1>Sponsored by Optimal HRV</h1>
<p style="font-size:medium;">This episode is sponsored by <strong>Optimal HRV</strong>.</p>
<p style="font-size:medium;">Optimal HRV provides research-based HRV measurement, resonance-frequency breathing guidance, and long-term autonomic tracking designed for clinicians, therapists, and performance specialists.</p>
<p style="font-size:medium;">Learn more:<br /><a href="https://optimalhrv.com">https://optimalhrv.com</a></p>
<h1>Medical Disclaimer</h1>
<p style="font-size:medium;">This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before applying any strategies discussed.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2384736/c1e-wq08tv9q9jc0gz0x-8d0jg11vt02g-p9tjej.mp3" length="20476011"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this week’s episode of The Heart Rate Variability Podcast: This Week in HRV Edition, we explore seven newly published studies that highlight the remarkable breadth of heart rate variability research.
These papers span wearable digital biomarkers, sleep medicine, machine learning and mental health, critical care pharmacology, virtual environments, stroke recovery, and intermittent hypoxia.
Across all seven studies, one theme emerges clearly:
HRV reflects the structure of physiological adaptability.
The nervous system is constantly adjusting to behavioral habits, environmental stressors, emotional meaning, and disease processes. HRV captures those adjustments as patterns of variability, complexity, and stability.
1. HRV Stability as a Digital Biomarker of Behavior
A large study published in the American Journal of Physiology – Heart and Circulatory Physiology examined the stability of HRV measurements across multiple nights of wearable recordings.
Researchers analyzed nearly 2 million nocturnal HRV measurements from over 21,000 individuals.
Instead of focusing on single HRV readings, the study measured the coefficient of variation of HRV (HRV-CV) — essentially how much HRV fluctuates from night to night.
The results revealed that five nights of data are required to reliably estimate a person’s baseline HRV stability.
Higher HRV variability was associated with:


Greater alcohol consumption


Lower physical activity


Shorter sleep duration


Irregular sleep timing


This suggests that autonomic stability may function as a digital biomarker of behavioral consistency.
Study link: https://journals.physiology.org/doi/10.1152/ajpheart.00738.2025
2. Sleep Interventions and the “Autonomic Lag”
A systematic review and meta-analysis published in the European Heart Journal Open examined how behavioral sleep interventions influence cardiovascular physiology.
Researchers evaluated randomized controlled trials studying treatments such as Cognitive Behavioral Therapy for Insomnia (CBT-I).
Sleep interventions significantly improved:


Systolic blood pressure


Diastolic blood pressure


However, HRV parameters did not significantly change.
The researchers propose what may be described as an “autonomic lag.”
While sleep improvements quickly influence vascular physiology, deeper remodeling of the autonomic nervous system may take months of consistent behavioral change.
Study link: https://pmc.ncbi.nlm.nih.gov/articles/PMC12915584/
3. Machine Learning and HRV-Based Depression Detection
A study published in Frontiers in Digital Health explored whether HRV signals can be used to classify depression using machine learning algorithms.
Researchers addressed a common challenge in biomedical AI: imbalanced datasets, where healt...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:21:19</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 27]]>
                </title>
                <pubDate>Tue, 03 Mar 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2380685</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-27</link>
                                <description>
                                            <![CDATA[<p>In this week’s episode, host Matt Bennett explores the expanding frontier of heart rate variability as a bridge between subjective stress, neural adaptability, physiological arousal, and early cognitive decline detection. Rather than treating HRV as a static “stress number,” this episode highlights its role as a dynamic biomarker of regulatory flexibility across psychological, neurological, and cognitive domains.</p>
<p>From perceived stress in healthy adults to social brain plasticity, from acute cold exposure to wearable-driven dementia detection, this episode emphasizes HRV as a real-time window into autonomic adaptability and system resilience.</p>
<p>HRV is increasingly understood as a measure of regulatory range — the nervous system’s capacity to flex, adapt, and recalibrate. Across the studies reviewed this week, HRV emerges not merely as a marker of stress, but as a functional reflection of how the brain and body coordinate in response to internal and external demands.</p>
<p>Studies Reviewed in This Episode</p>
<ol>
<li>
<p><strong>Perceived Stress and Autonomic Regulation in Healthy Adults</strong></p>
</li>
</ol>
<p><strong>Study:</strong> The Relationship Between Perceived Stress Scale and Heart Rate Variability in Healthy Adults</p>
<p><br /> <strong>Authors:</strong> Alper Perçin, Ramazan Cihad Yılmaz, Dilan Demirtaş Karaoba, and Büsra Candiri</p>
<p><br /> <strong>Link: </strong><a href="https://www.researchgate.net/publication/401048214_The_Relationship_Between_Perceived_Stress_Scale_and_Heart_Rate_Variability_in_Healthy_Adults">https://www.researchgate.net/publication/401048214_The_Relationship_Between_Perceived_Stress_Scale_and_Heart_Rate_Variability_in_Healthy_Adults</a></p>
<p><strong>Key Insight:</strong> Higher perceived stress scores were significantly associated with lower vagally mediated HRV indices, including RMSSD and high-frequency power. Even in healthy adults without psychiatric diagnoses, subjective stress perception meaningfully aligned with reduced parasympathetic flexibility.</p>
<p><strong>Clinical Relevance:</strong> HRV and psychological stress scales measure overlapping but distinct domains. When both subjective stress and HRV suppression are present, vulnerability may increase. Divergence between the two may provide additional diagnostic insight into resilience or under-recognized physiological load.</p>
<ol start="2">
<li>
<p><strong>Neural Mechanisms of Social Homeostasis and Dynamic Range Plasticity</strong></p>
</li>
</ol>
<p><strong>Study:</strong> Neural Mechanisms of Social Homeostasis: Dynamic Range Plasticity</p>
<p><br /> <strong>Authors:</strong> Jianna Cressy, Caroline Jia, Jonathan Salk, and Kay M. Tye</p>
<p><br /> <strong>Link: </strong><a href="https://www.jneurosci.org/content/46/8/e0224252025">https://www.jneurosci.org/content/46/8/e0224252025</a></p>
<p><strong>Key Insight:</strong> The study demonstrates that neural systems responsible for social regulation exhibit dynamic plasticity, adjusting their functional range in response to environmental demands. This adaptive range mirrors principles found in neurovisceral integration models, where flexibility in central networks is reflected in peripheral autonomic flexibility.</p>
<p><strong>Clinical Relevance:</strong> HRV may serve as a peripheral marker of central regulatory capacity. Interventions that enhance autonomic flexibility — including biofeedback and resonance breathing — may indirectly support neural adaptability involved in emotional and social regulation.</p>
<ol start="3">
<li>
<p><strong>Acute Cold Exposure and Cognitive Performance</strong></p>
</li>
</ol>
<p><strong>Study:</strong> The Immediate Effect of Cold Spinal Spray and Cold Spinal Bath on Cognition Among Young Adults: A Three-Armed Randomized Controlled Trial</p>
<p><br /> <strong>Authors:</strong> Avishee Sinha and Sujatha KJ</p>
<p><br /> <strong>Link: </strong><a href="https://www.cureus.com/articles/386403-the-immediate-effect-of-cold-spi..."></a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this week’s episode, host Matt Bennett explores the expanding frontier of heart rate variability as a bridge between subjective stress, neural adaptability, physiological arousal, and early cognitive decline detection. Rather than treating HRV as a static “stress number,” this episode highlights its role as a dynamic biomarker of regulatory flexibility across psychological, neurological, and cognitive domains.
From perceived stress in healthy adults to social brain plasticity, from acute cold exposure to wearable-driven dementia detection, this episode emphasizes HRV as a real-time window into autonomic adaptability and system resilience.
HRV is increasingly understood as a measure of regulatory range — the nervous system’s capacity to flex, adapt, and recalibrate. Across the studies reviewed this week, HRV emerges not merely as a marker of stress, but as a functional reflection of how the brain and body coordinate in response to internal and external demands.
Studies Reviewed in This Episode


Perceived Stress and Autonomic Regulation in Healthy Adults


Study: The Relationship Between Perceived Stress Scale and Heart Rate Variability in Healthy Adults
 Authors: Alper Perçin, Ramazan Cihad Yılmaz, Dilan Demirtaş Karaoba, and Büsra Candiri
 Link: https://www.researchgate.net/publication/401048214_The_Relationship_Between_Perceived_Stress_Scale_and_Heart_Rate_Variability_in_Healthy_Adults
Key Insight: Higher perceived stress scores were significantly associated with lower vagally mediated HRV indices, including RMSSD and high-frequency power. Even in healthy adults without psychiatric diagnoses, subjective stress perception meaningfully aligned with reduced parasympathetic flexibility.
Clinical Relevance: HRV and psychological stress scales measure overlapping but distinct domains. When both subjective stress and HRV suppression are present, vulnerability may increase. Divergence between the two may provide additional diagnostic insight into resilience or under-recognized physiological load.


Neural Mechanisms of Social Homeostasis and Dynamic Range Plasticity


Study: Neural Mechanisms of Social Homeostasis: Dynamic Range Plasticity
 Authors: Jianna Cressy, Caroline Jia, Jonathan Salk, and Kay M. Tye
 Link: https://www.jneurosci.org/content/46/8/e0224252025
Key Insight: The study demonstrates that neural systems responsible for social regulation exhibit dynamic plasticity, adjusting their functional range in response to environmental demands. This adaptive range mirrors principles found in neurovisceral integration models, where flexibility in central networks is reflected in peripheral autonomic flexibility.
Clinical Relevance: HRV may serve as a peripheral marker of central regulatory capacity. Interventions that enhance autonomic flexibility — including biofeedback and resonance breathing — may indirectly support neural adaptability involved in emotional and social regulation.


Acute Cold Exposure and Cognitive Performance


Study: The Immediate Effect of Cold Spinal Spray and Cold Spinal Bath on Cognition Among Young Adults: A Three-Armed Randomized Controlled Trial
 Authors: Avishee Sinha and Sujatha KJ
 Link: ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 27]]>
                </itunes:title>
                                    <itunes:episode>27</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this week’s episode, host Matt Bennett explores the expanding frontier of heart rate variability as a bridge between subjective stress, neural adaptability, physiological arousal, and early cognitive decline detection. Rather than treating HRV as a static “stress number,” this episode highlights its role as a dynamic biomarker of regulatory flexibility across psychological, neurological, and cognitive domains.</p>
<p>From perceived stress in healthy adults to social brain plasticity, from acute cold exposure to wearable-driven dementia detection, this episode emphasizes HRV as a real-time window into autonomic adaptability and system resilience.</p>
<p>HRV is increasingly understood as a measure of regulatory range — the nervous system’s capacity to flex, adapt, and recalibrate. Across the studies reviewed this week, HRV emerges not merely as a marker of stress, but as a functional reflection of how the brain and body coordinate in response to internal and external demands.</p>
<p>Studies Reviewed in This Episode</p>
<ol>
<li>
<p><strong>Perceived Stress and Autonomic Regulation in Healthy Adults</strong></p>
</li>
</ol>
<p><strong>Study:</strong> The Relationship Between Perceived Stress Scale and Heart Rate Variability in Healthy Adults</p>
<p><br /> <strong>Authors:</strong> Alper Perçin, Ramazan Cihad Yılmaz, Dilan Demirtaş Karaoba, and Büsra Candiri</p>
<p><br /> <strong>Link: </strong><a href="https://www.researchgate.net/publication/401048214_The_Relationship_Between_Perceived_Stress_Scale_and_Heart_Rate_Variability_in_Healthy_Adults">https://www.researchgate.net/publication/401048214_The_Relationship_Between_Perceived_Stress_Scale_and_Heart_Rate_Variability_in_Healthy_Adults</a></p>
<p><strong>Key Insight:</strong> Higher perceived stress scores were significantly associated with lower vagally mediated HRV indices, including RMSSD and high-frequency power. Even in healthy adults without psychiatric diagnoses, subjective stress perception meaningfully aligned with reduced parasympathetic flexibility.</p>
<p><strong>Clinical Relevance:</strong> HRV and psychological stress scales measure overlapping but distinct domains. When both subjective stress and HRV suppression are present, vulnerability may increase. Divergence between the two may provide additional diagnostic insight into resilience or under-recognized physiological load.</p>
<ol start="2">
<li>
<p><strong>Neural Mechanisms of Social Homeostasis and Dynamic Range Plasticity</strong></p>
</li>
</ol>
<p><strong>Study:</strong> Neural Mechanisms of Social Homeostasis: Dynamic Range Plasticity</p>
<p><br /> <strong>Authors:</strong> Jianna Cressy, Caroline Jia, Jonathan Salk, and Kay M. Tye</p>
<p><br /> <strong>Link: </strong><a href="https://www.jneurosci.org/content/46/8/e0224252025">https://www.jneurosci.org/content/46/8/e0224252025</a></p>
<p><strong>Key Insight:</strong> The study demonstrates that neural systems responsible for social regulation exhibit dynamic plasticity, adjusting their functional range in response to environmental demands. This adaptive range mirrors principles found in neurovisceral integration models, where flexibility in central networks is reflected in peripheral autonomic flexibility.</p>
<p><strong>Clinical Relevance:</strong> HRV may serve as a peripheral marker of central regulatory capacity. Interventions that enhance autonomic flexibility — including biofeedback and resonance breathing — may indirectly support neural adaptability involved in emotional and social regulation.</p>
<ol start="3">
<li>
<p><strong>Acute Cold Exposure and Cognitive Performance</strong></p>
</li>
</ol>
<p><strong>Study:</strong> The Immediate Effect of Cold Spinal Spray and Cold Spinal Bath on Cognition Among Young Adults: A Three-Armed Randomized Controlled Trial</p>
<p><br /> <strong>Authors:</strong> Avishee Sinha and Sujatha KJ</p>
<p><br /> <strong>Link: </strong><a href="https://www.cureus.com/articles/386403-the-immediate-effect-of-cold-spinal-spray-and-cold-spinal-bath-on-cognition-among-young-adults-a-three-armed-randomized-controlled-trial#!/">https://www.cureus.com/articles/386403-the-immediate-effect-of-cold-spinal-spray-and-cold-spinal-bath-on-cognition-among-young-adults-a-three-armed-randomized-controlled-trial#!/</a></p>
<p><strong>Key Insight:</strong> Cold spinal spray and cold spinal bath produced short-term changes in cognitive performance among young adults. The likely mechanism involves acute sympathetic activation and catecholamine release, temporarily enhancing alertness and vigilance.</p>
<p><strong>Clinical Relevance:</strong> Cold exposure may increase cognitive arousal but may simultaneously reduce short-term HRV due to sympathetic activation. This distinction between heightened alertness and autonomic flexibility is critical when designing performance or recovery protocols.</p>
<ol start="4">
<li>
<p><strong>AI and Wearables for Early Detection of Cognitive Impairment</strong></p>
</li>
</ol>
<p><strong>Study:</strong> AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review</p>
<p><br /> <strong>Authors:</strong> Ander Cejudo, Markel Arrojo, Cristina Martín, and Aitor Almeida</p>
<p><br /> <strong>Link: </strong><a href="https://www.jmir.org/2026/1/e86262">https://www.jmir.org/2026/1/e86262</a></p>
<p><strong>Key Insight:</strong> Across multiple reviewed studies, wearable physiological signals — including HRV-derived metrics — improved machine-learning classification accuracy for distinguishing cognitively healthy individuals from those with early impairment.</p>
<p><strong>Clinical Relevance:</strong> HRV-based wearable monitoring may become a scalable, non-invasive screening tool for early cognitive decline. Autonomic dysregulation appears to precede overt cognitive symptoms, offering a potential window for earlier intervention.</p>
<p><strong>Integrated Takeaways</strong></p>
<p>• Perceived stress and HRV are connected but not interchangeable.<br /> • Autonomic flexibility mirrors central neural adaptability.<br /> • Sympathetic arousal can enhance performance while reducing short-term HRV.<br /> • Wearable HRV integrated with artificial intelligence may help detect early neurodegenerative risk.</p>
<p>Together, these studies reinforce HRV as a dynamic marker of regulatory capacity — spanning psychology, neuroscience, performance physiology, and cognitive health.</p>
<p><strong>Sponsor</strong></p>
<p>This episode is brought to you by Optimal HRV.<br /> Explore professional-grade autonomic analytics, trauma-informed biofeedback tools, and longitudinal HRV tracking at OptimalHRV.com.</p>
<p>If you found this episode valuable, please subscribe and share it with a colleague. We’ll continue exploring the evolving science of autonomic regulation next week.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2380685/c1e-zqgkt38m5muok7on-gp5md6omud46-q5opxm.mp3" length="19849072"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this week’s episode, host Matt Bennett explores the expanding frontier of heart rate variability as a bridge between subjective stress, neural adaptability, physiological arousal, and early cognitive decline detection. Rather than treating HRV as a static “stress number,” this episode highlights its role as a dynamic biomarker of regulatory flexibility across psychological, neurological, and cognitive domains.
From perceived stress in healthy adults to social brain plasticity, from acute cold exposure to wearable-driven dementia detection, this episode emphasizes HRV as a real-time window into autonomic adaptability and system resilience.
HRV is increasingly understood as a measure of regulatory range — the nervous system’s capacity to flex, adapt, and recalibrate. Across the studies reviewed this week, HRV emerges not merely as a marker of stress, but as a functional reflection of how the brain and body coordinate in response to internal and external demands.
Studies Reviewed in This Episode


Perceived Stress and Autonomic Regulation in Healthy Adults


Study: The Relationship Between Perceived Stress Scale and Heart Rate Variability in Healthy Adults
 Authors: Alper Perçin, Ramazan Cihad Yılmaz, Dilan Demirtaş Karaoba, and Büsra Candiri
 Link: https://www.researchgate.net/publication/401048214_The_Relationship_Between_Perceived_Stress_Scale_and_Heart_Rate_Variability_in_Healthy_Adults
Key Insight: Higher perceived stress scores were significantly associated with lower vagally mediated HRV indices, including RMSSD and high-frequency power. Even in healthy adults without psychiatric diagnoses, subjective stress perception meaningfully aligned with reduced parasympathetic flexibility.
Clinical Relevance: HRV and psychological stress scales measure overlapping but distinct domains. When both subjective stress and HRV suppression are present, vulnerability may increase. Divergence between the two may provide additional diagnostic insight into resilience or under-recognized physiological load.


Neural Mechanisms of Social Homeostasis and Dynamic Range Plasticity


Study: Neural Mechanisms of Social Homeostasis: Dynamic Range Plasticity
 Authors: Jianna Cressy, Caroline Jia, Jonathan Salk, and Kay M. Tye
 Link: https://www.jneurosci.org/content/46/8/e0224252025
Key Insight: The study demonstrates that neural systems responsible for social regulation exhibit dynamic plasticity, adjusting their functional range in response to environmental demands. This adaptive range mirrors principles found in neurovisceral integration models, where flexibility in central networks is reflected in peripheral autonomic flexibility.
Clinical Relevance: HRV may serve as a peripheral marker of central regulatory capacity. Interventions that enhance autonomic flexibility — including biofeedback and resonance breathing — may indirectly support neural adaptability involved in emotional and social regulation.


Acute Cold Exposure and Cognitive Performance


Study: The Immediate Effect of Cold Spinal Spray and Cold Spinal Bath on Cognition Among Young Adults: A Three-Armed Randomized Controlled Trial
 Authors: Avishee Sinha and Sujatha KJ
 Link: ]]>
                </itunes:summary>
                                                                            <itunes:duration>00:20:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Inna Khazan Different Options to get the Most of HRV Biofeedback]]>
                </title>
                <pubDate>Thu, 26 Feb 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2339354</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-inna-khazan-different-options-to-get-the-most-of-hrv-biofeedback</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett interviews Dr. Inna Khazan about how people can use different options to maximize their biofeedback practice. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett interviews Dr. Inna Khazan about how people can use different options to maximize their biofeedback practice. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Inna Khazan Different Options to get the Most of HRV Biofeedback]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett interviews Dr. Inna Khazan about how people can use different options to maximize their biofeedback practice. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2339354/c1e-6xg3f752nzt5k764-qd1vp8xpcvow-hvhxso.mp3" length="34316299"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett interviews Dr. Inna Khazan about how people can use different options to maximize their biofeedback practice. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2339354/c1a-rqx3-xx7gkqmmsp02-56kre8.png"></itunes:image>
                                                                            <itunes:duration>00:33:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 26]]>
                </title>
                <pubDate>Tue, 24 Feb 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2371806</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-26</link>
                                <description>
                                            <![CDATA[<h3><b></b></h3>
<p>In this week’s episode, host Matt Bennett moves beyond environmental stressors to explore the biological architecture that governs our autonomic responses. From the inflammatory milieu of coronary arteries to the 24-hour coordination of the circadian axis, we analyze how Heart Rate Variability (HRV) serves as a blueprint for physiological integrity and a non-invasive window into the developing brain.</p>
<h4><b>Thematic Overview: HRV as a Blueprint</b></h4>
<p>While HRV is often used as a reactive "stress score," the latest research indicates it functions as a predictor of structural stability. This episode highlights HRV as a transdiagnostic marker of autonomic flexibility, shifting the clinical focus from mere observation to the identification of causal pathways of chronic disease and neurodevelopmental risk.</p>
<h4><b>Studies Reviewed in This Episode</b></h4>
<p><b>1. Coronary Plaque Vulnerability and AI-Driven Imaging</b></p>
<ul>
<li>
<p><b>Study:</b> <a href="https://doi.org/10.1093/eurheartj/ehag071" target="_blank" rel="noreferrer noopener">Heart rate variability, unstable coronary plaques, and cardiovascular outcomes</a></p>
</li>
<li>
<p><b>Authors:</b> Yue Yu, Weifeng Guo, Ziwei Shen, Han Chen, Changyi Zhou, Cheng Yan, Yanli Song, Chenguang Li, Mengsu Zeng, Li Shen, Dijia Wu, Jiasheng Yin, and Junbo Ge</p>
</li>
<li>
<p><b>Key Finding:</b> Lower HRV (specifically SDNN) is independently associated with higher Fat Attenuation Index (FAI) values—a high-fidelity biomarker for inflammation in the perivascular adipose tissue surrounding the heart. Each 1-SD decrease in SDNN was associated with a 2.05-fold increase in the risk of major adverse cardiovascular events.</p>
</li>
</ul>
<p><b>2. Schizophrenia and Cognitive Endophenotypes</b></p>
<ul>
<li>
<p><b>Study:</b>(<a href="https://www.cureus.com/articles/447595-heart-rate-variability-and-cognitive-function-as-potential-endophenotypes-in-schizophrenia-a-cross-sectional-observational-study-using-first-degree-relatives#!/" target="_blank" rel="noreferrer noopener">https://www.cureus.com/articles/447595-heart-rate-variability-and-cognitive-function-as-potential-endophenotypes-in-schizophrenia-a-cross-sectional-observational-study-using-first-degree-relatives#!/</a>) <sup></sup></p>
<p></p>
</li>
<li>
<p><b>Authors:</b> Priyadarsini Samanta, Barsha B. Parida, Jigyansa I. Pattnaik, Rama Chandra Das, Rashmi Kumari, Vedaant Parekh, Jayanti Mishra, Jyotiranjan Sahoo, and Laxman Kumar Senapati <sup></sup></p>
<p></p>
</li>
<li>
<p><b>Key Finding:</b> Patients with schizophrenia exhibit a significantly higher LF/HF ratio compared to healthy relatives (1.57 vs. 0.79), indicating chronic sympathovagal imbalance.<sup></sup> This autonomic profile showed a strong positive correlation with cognitive performance on the Wechsler Abbreviated Scale of Intelligence.<sup></sup></p>
<p></p>
</li>
</ul>
<p><b>3. Exercise Physiology and the Fractal Heart ($DFA \alpha 1$)</b></p>
<ul>
<li>
<p><b>Study:</b> <a href="https://physoc.onlinelibrary.wiley.com/doi/10.14814/phy2.70777" target="_blank" rel="noreferrer noopener">Agreement between heart rate variability-derived and lactate/ventilatory thresholds during a 4-min stepwise incremental cycling test in male adults</a></p>
</li>
<li>
<p><b>Authors:</b> Anton Olieslagers, Yoram Müller-Jabusch, Margot Vancoillie, Emma Delen, and Toon de Beukelaar</p>
</li>
<li>
<p><b>Key Finding:</b> The non-linear metric DFA \alpha 1 at a value of 0.50 (HRVT2) is a highly accurate surrogate for the anaerobic threshold. However, the lower aerobic threshold (HRVT1 at 0.75) demonstrated poor agreement with gold-standard metabolic markers, suggesting it is not yet reliable for setting low-intensity zones.<sup></sup></p>
<p></p>
</li>
</ul>
<p><b>4. Neonatal Maturation and Neurodevelopmental Risk</b></p>
<ul>
<li>
<p><b>Study:</b>(<a href="https://onlinelibrary.wiley.com/doi/10.1111/apa.70462?af=R" target="_blank" rel="noreferrer noopener">https:/...</a></p></li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[
In this week’s episode, host Matt Bennett moves beyond environmental stressors to explore the biological architecture that governs our autonomic responses. From the inflammatory milieu of coronary arteries to the 24-hour coordination of the circadian axis, we analyze how Heart Rate Variability (HRV) serves as a blueprint for physiological integrity and a non-invasive window into the developing brain.
Thematic Overview: HRV as a Blueprint
While HRV is often used as a reactive "stress score," the latest research indicates it functions as a predictor of structural stability. This episode highlights HRV as a transdiagnostic marker of autonomic flexibility, shifting the clinical focus from mere observation to the identification of causal pathways of chronic disease and neurodevelopmental risk.
Studies Reviewed in This Episode
1. Coronary Plaque Vulnerability and AI-Driven Imaging


Study: Heart rate variability, unstable coronary plaques, and cardiovascular outcomes


Authors: Yue Yu, Weifeng Guo, Ziwei Shen, Han Chen, Changyi Zhou, Cheng Yan, Yanli Song, Chenguang Li, Mengsu Zeng, Li Shen, Dijia Wu, Jiasheng Yin, and Junbo Ge


Key Finding: Lower HRV (specifically SDNN) is independently associated with higher Fat Attenuation Index (FAI) values—a high-fidelity biomarker for inflammation in the perivascular adipose tissue surrounding the heart. Each 1-SD decrease in SDNN was associated with a 2.05-fold increase in the risk of major adverse cardiovascular events.


2. Schizophrenia and Cognitive Endophenotypes


Study:(https://www.cureus.com/articles/447595-heart-rate-variability-and-cognitive-function-as-potential-endophenotypes-in-schizophrenia-a-cross-sectional-observational-study-using-first-degree-relatives#!/) 



Authors: Priyadarsini Samanta, Barsha B. Parida, Jigyansa I. Pattnaik, Rama Chandra Das, Rashmi Kumari, Vedaant Parekh, Jayanti Mishra, Jyotiranjan Sahoo, and Laxman Kumar Senapati 



Key Finding: Patients with schizophrenia exhibit a significantly higher LF/HF ratio compared to healthy relatives (1.57 vs. 0.79), indicating chronic sympathovagal imbalance. This autonomic profile showed a strong positive correlation with cognitive performance on the Wechsler Abbreviated Scale of Intelligence.



3. Exercise Physiology and the Fractal Heart ($DFA \alpha 1$)


Study: Agreement between heart rate variability-derived and lactate/ventilatory thresholds during a 4-min stepwise incremental cycling test in male adults


Authors: Anton Olieslagers, Yoram Müller-Jabusch, Margot Vancoillie, Emma Delen, and Toon de Beukelaar


Key Finding: The non-linear metric DFA \alpha 1 at a value of 0.50 (HRVT2) is a highly accurate surrogate for the anaerobic threshold. However, the lower aerobic threshold (HRVT1 at 0.75) demonstrated poor agreement with gold-standard metabolic markers, suggesting it is not yet reliable for setting low-intensity zones.



4. Neonatal Maturation and Neurodevelopmental Risk


Study:(https:/...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 26]]>
                </itunes:title>
                                    <itunes:episode>26</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h3><b></b></h3>
<p>In this week’s episode, host Matt Bennett moves beyond environmental stressors to explore the biological architecture that governs our autonomic responses. From the inflammatory milieu of coronary arteries to the 24-hour coordination of the circadian axis, we analyze how Heart Rate Variability (HRV) serves as a blueprint for physiological integrity and a non-invasive window into the developing brain.</p>
<h4><b>Thematic Overview: HRV as a Blueprint</b></h4>
<p>While HRV is often used as a reactive "stress score," the latest research indicates it functions as a predictor of structural stability. This episode highlights HRV as a transdiagnostic marker of autonomic flexibility, shifting the clinical focus from mere observation to the identification of causal pathways of chronic disease and neurodevelopmental risk.</p>
<h4><b>Studies Reviewed in This Episode</b></h4>
<p><b>1. Coronary Plaque Vulnerability and AI-Driven Imaging</b></p>
<ul>
<li>
<p><b>Study:</b> <a href="https://doi.org/10.1093/eurheartj/ehag071" target="_blank" rel="noreferrer noopener">Heart rate variability, unstable coronary plaques, and cardiovascular outcomes</a></p>
</li>
<li>
<p><b>Authors:</b> Yue Yu, Weifeng Guo, Ziwei Shen, Han Chen, Changyi Zhou, Cheng Yan, Yanli Song, Chenguang Li, Mengsu Zeng, Li Shen, Dijia Wu, Jiasheng Yin, and Junbo Ge</p>
</li>
<li>
<p><b>Key Finding:</b> Lower HRV (specifically SDNN) is independently associated with higher Fat Attenuation Index (FAI) values—a high-fidelity biomarker for inflammation in the perivascular adipose tissue surrounding the heart. Each 1-SD decrease in SDNN was associated with a 2.05-fold increase in the risk of major adverse cardiovascular events.</p>
</li>
</ul>
<p><b>2. Schizophrenia and Cognitive Endophenotypes</b></p>
<ul>
<li>
<p><b>Study:</b>(<a href="https://www.cureus.com/articles/447595-heart-rate-variability-and-cognitive-function-as-potential-endophenotypes-in-schizophrenia-a-cross-sectional-observational-study-using-first-degree-relatives#!/" target="_blank" rel="noreferrer noopener">https://www.cureus.com/articles/447595-heart-rate-variability-and-cognitive-function-as-potential-endophenotypes-in-schizophrenia-a-cross-sectional-observational-study-using-first-degree-relatives#!/</a>) <sup></sup></p>
<p></p>
</li>
<li>
<p><b>Authors:</b> Priyadarsini Samanta, Barsha B. Parida, Jigyansa I. Pattnaik, Rama Chandra Das, Rashmi Kumari, Vedaant Parekh, Jayanti Mishra, Jyotiranjan Sahoo, and Laxman Kumar Senapati <sup></sup></p>
<p></p>
</li>
<li>
<p><b>Key Finding:</b> Patients with schizophrenia exhibit a significantly higher LF/HF ratio compared to healthy relatives (1.57 vs. 0.79), indicating chronic sympathovagal imbalance.<sup></sup> This autonomic profile showed a strong positive correlation with cognitive performance on the Wechsler Abbreviated Scale of Intelligence.<sup></sup></p>
<p></p>
</li>
</ul>
<p><b>3. Exercise Physiology and the Fractal Heart ($DFA \alpha 1$)</b></p>
<ul>
<li>
<p><b>Study:</b> <a href="https://physoc.onlinelibrary.wiley.com/doi/10.14814/phy2.70777" target="_blank" rel="noreferrer noopener">Agreement between heart rate variability-derived and lactate/ventilatory thresholds during a 4-min stepwise incremental cycling test in male adults</a></p>
</li>
<li>
<p><b>Authors:</b> Anton Olieslagers, Yoram Müller-Jabusch, Margot Vancoillie, Emma Delen, and Toon de Beukelaar</p>
</li>
<li>
<p><b>Key Finding:</b> The non-linear metric DFA \alpha 1 at a value of 0.50 (HRVT2) is a highly accurate surrogate for the anaerobic threshold. However, the lower aerobic threshold (HRVT1 at 0.75) demonstrated poor agreement with gold-standard metabolic markers, suggesting it is not yet reliable for setting low-intensity zones.<sup></sup></p>
<p></p>
</li>
</ul>
<p><b>4. Neonatal Maturation and Neurodevelopmental Risk</b></p>
<ul>
<li>
<p><b>Study:</b>(<a href="https://onlinelibrary.wiley.com/doi/10.1111/apa.70462?af=R" target="_blank" rel="noreferrer noopener">https://onlinelibrary.wiley.com/doi/10.1111/apa.70462?af=R</a>) <sup></sup></p>
<p></p>
</li>
<li>
<p><b>Authors:</b> Léa Bonneau, Cyril Flamant, Maxime Esvan, Jean Michel Roué, Géraldine Favrais, Géraldine Gascoin, Sandie Cabon, Fabienne Porée, Guy Carrault, and Patrick Pladys <sup></sup></p>
<p></p>
</li>
<li>
<p><b>Key Finding:</b> Using machine learning to estimate "Functional Maturation Age," the team found that infants with complications such as bronchopulmonary dysplasia or patent ductus arteriosus experienced significant delays in maturation. Each week of HRV maturation delay doubled the odds of having altered social communication skills at 2 years of age.</p>
</li>
</ul>
<p><b>5. The Circadian Axis of Brain-Body Organization</b></p>
<ul>
<li>
<p><b>Study:</b> <a href="https://www.nature.com/articles/s44323-025-00065-x" target="_blank" rel="noreferrer noopener">Control vs. salience: a new axis of circadian brain-body organization</a></p>
</li>
<li>
<p><b>Authors:</b> Olivier Demers, Sanaz Ghaffari, Chen Li, and Russell Butler</p>
</li>
<li>
<p><b>Key Finding:</b> Circadian health is organized along a Control-Salience axis, with individuals with locomotor-dominant rhythms showing stronger cognitive control network connectivity, while those with autonomic-dominant rhythms showing tighter heart rate-activity coupling and stronger salience network connectivity.</p>
</li>
</ul>
<p><b>6. Meditation as Autonomic Gym Training</b></p>
<ul>
<li>
<p><b>Study:</b>(<a href="https://link.springer.com/chapter/10.1007/978-981-96-8309-3_39" target="_blank" rel="noreferrer noopener">https://link.springer.com/chapter/10.1007/978-981-96-8309-3_39</a>)</p>
</li>
<li>
<p><b>Authors:</b> Vivek Ranjan, Raghuwansh Singh, Anindita Ganguly, and Suman Halder</p>
</li>
<li>
<p><b>Key Finding:</b> Advanced machine learning algorithms (Random Forest and SVM) successfully distinguished meditative from pre-meditative states with up to 99.5% accuracy. The research demonstrates that meditation increases the textural complexity and flexibility of the heart rhythm, effectively "training" the autonomic nervous system.</p>
</li>
</ul>
<h4><b>Practical Takeaways</b></h4>
<ul>
<li>
<p><b>For Clinicians:</b> HRV maturation analysis (Delta HRV) provides a non-invasive window into neonatal brain health, while time-domain HRV can signal vulnerable coronary plaque phenotypes early.</p>
</li>
<li>
<p><b>For Individuals:</b> Protecting your nocturnal HRV peak through consistent circadian rhythms and engaging in "autonomic training" like Yoga Nidra or Vipassana are proven strategies to rewire your baseline resilience.</p>
</li>
</ul>
<p><b>Sponsors:</b> This episode is brought to you by <b>Optimal HRV</b>. Explore professional-grade autonomic analytics for your coaching or clinical practice at OptimalHRV.com.</p>
<p><b>Upcoming Events:</b> We hope to see you at the <b>BFE 2026</b> meeting! Connect with the world’s leading autonomic researchers and biofeedback practitioners this spring.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[
In this week’s episode, host Matt Bennett moves beyond environmental stressors to explore the biological architecture that governs our autonomic responses. From the inflammatory milieu of coronary arteries to the 24-hour coordination of the circadian axis, we analyze how Heart Rate Variability (HRV) serves as a blueprint for physiological integrity and a non-invasive window into the developing brain.
Thematic Overview: HRV as a Blueprint
While HRV is often used as a reactive "stress score," the latest research indicates it functions as a predictor of structural stability. This episode highlights HRV as a transdiagnostic marker of autonomic flexibility, shifting the clinical focus from mere observation to the identification of causal pathways of chronic disease and neurodevelopmental risk.
Studies Reviewed in This Episode
1. Coronary Plaque Vulnerability and AI-Driven Imaging


Study: Heart rate variability, unstable coronary plaques, and cardiovascular outcomes


Authors: Yue Yu, Weifeng Guo, Ziwei Shen, Han Chen, Changyi Zhou, Cheng Yan, Yanli Song, Chenguang Li, Mengsu Zeng, Li Shen, Dijia Wu, Jiasheng Yin, and Junbo Ge


Key Finding: Lower HRV (specifically SDNN) is independently associated with higher Fat Attenuation Index (FAI) values—a high-fidelity biomarker for inflammation in the perivascular adipose tissue surrounding the heart. Each 1-SD decrease in SDNN was associated with a 2.05-fold increase in the risk of major adverse cardiovascular events.


2. Schizophrenia and Cognitive Endophenotypes


Study:(https://www.cureus.com/articles/447595-heart-rate-variability-and-cognitive-function-as-potential-endophenotypes-in-schizophrenia-a-cross-sectional-observational-study-using-first-degree-relatives#!/) 



Authors: Priyadarsini Samanta, Barsha B. Parida, Jigyansa I. Pattnaik, Rama Chandra Das, Rashmi Kumari, Vedaant Parekh, Jayanti Mishra, Jyotiranjan Sahoo, and Laxman Kumar Senapati 



Key Finding: Patients with schizophrenia exhibit a significantly higher LF/HF ratio compared to healthy relatives (1.57 vs. 0.79), indicating chronic sympathovagal imbalance. This autonomic profile showed a strong positive correlation with cognitive performance on the Wechsler Abbreviated Scale of Intelligence.



3. Exercise Physiology and the Fractal Heart ($DFA \alpha 1$)


Study: Agreement between heart rate variability-derived and lactate/ventilatory thresholds during a 4-min stepwise incremental cycling test in male adults


Authors: Anton Olieslagers, Yoram Müller-Jabusch, Margot Vancoillie, Emma Delen, and Toon de Beukelaar


Key Finding: The non-linear metric DFA \alpha 1 at a value of 0.50 (HRVT2) is a highly accurate surrogate for the anaerobic threshold. However, the lower aerobic threshold (HRVT1 at 0.75) demonstrated poor agreement with gold-standard metabolic markers, suggesting it is not yet reliable for setting low-intensity zones.



4. Neonatal Maturation and Neurodevelopmental Risk


Study:(https:/...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:20:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 25]]>
                </title>
                <pubDate>Tue, 17 Feb 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2361996</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-25</link>
                                <description>
                                            <![CDATA[<p>In this week’s episode of <em>The Heart Rate Variability Podcast: This Week in HRV Edition</em>, we explore five new studies that highlight the remarkable breadth of heart rate variability research — from the emotional intensity of football matches to adolescent development, from neurofeedback training to fasting physiology, and from cardiometabolic health to organ dysfunction in critical care.</p>
<p>Across all five papers, one theme emerges clearly:</p>
<p><strong>HRV reflects adaptability.</strong></p>
<p>Whether we are celebrating a goal, training the brain, fasting, recovering from illness, or navigating adolescence, autonomic flexibility shapes outcomes.</p>
<h2>⚽ Football Fever: HRV During Competitive Match Viewing</h2>
<p>A new study published in <em>Scientific Reports</em> (Nature Portfolio) investigates real-time cardiovascular and autonomic responses during high-stakes football matches.</p>
<p>Researchers monitored spectators’ heart rates and HRV during key match events—goals, penalties, near misses, and final outcomes. Moments of uncertainty and threat to the favored team produced:</p>
<ul>
<li>
<p>Significant reductions in vagally mediated HRV</p>
</li>
<li>
<p>Rapid increases in heart rate</p>
</li>
<li>
<p>Sustained sympathetic activation in some individuals</p>
</li>
</ul>
<p>Recovery patterns differed based on match outcomes, with prolonged vagal withdrawal observed following unexpected losses.</p>
<p>This research provides mechanistic insight into why major sporting events have been associated with spikes in cardiovascular incidents at the population level.</p>
<p> Study link:<br /> <a href="https://www.nature.com/articles/s41598-026-36182-1">https://www.nature.com/articles/s41598-026-36182-1</a></p>
<h2> Neurofeedback and Autonomic Regulation</h2>
<p>Published through Scientific Research Publishing, this study examined whether structured neurofeedback training influences heart rate variability and cognitive performance.</p>
<p>Participants completed multiple neurofeedback sessions targeting EEG regulation associated with attention and emotional control. Findings included:</p>
<ul>
<li>
<p>Increases in parasympathetic HRV markers</p>
</li>
<li>
<p>Improved cognitive task performance</p>
</li>
<li>
<p>Reductions in anxiety-related symptoms</p>
</li>
</ul>
<p>The results support a bidirectional neurocardiac integration model — suggesting that improving cortical regulation may enhance vagal tone.</p>
<p>For clinicians, this raises compelling questions about combining neurofeedback and HRV biofeedback for synergistic regulatory effects.</p>
<p> Study link:<br /> <a href="https://www.scirp.org/journal/paperinformation?paperid=149580">https://www.scirp.org/journal/paperinformation?paperid=149580</a></p>
<h2>⏳ Fasting, Cardiometabolic Health, and Autonomic Balance</h2>
<p>In a paper published in <em>Arteriosclerosis, Thrombosis, and Vascular Biology</em> (American Heart Association), researchers examined the cardiovascular effects of structured fasting interventions.</p>
<p>Key findings included:</p>
<ul>
<li>
<p>Improvements in triglyceride levels</p>
</li>
<li>
<p>Enhanced insulin sensitivity</p>
</li>
<li>
<p>Variable autonomic responses depending on metabolic status</p>
</li>
</ul>
<p>Early fasting phases were associated with increased sympathetic activity in some participants, while longer-term adaptation appeared to stabilize or improve HRV in metabolically resilient individuals.</p>
<p>This highlights an important clinical principle:</p>
<p>Fasting is a physiological stressor. Whether it becomes adaptive depends on individual autonomic resilience.</p>
<p> Study link:<br /> <a href="https://www.ahajournals.org/doi/10.1161/ATVBAHA.125.323355">https://www.ahajournals.org/doi/10.1161/ATVBAHA.125.323355</a></p>
<h2> HRV as a Predictor of Organ Dysfunction</h2>
<p>Published in the <em>Journal of Clinical Monitoring and Computing</em>, this study explored heart rate variability as a biomarker of organ dysfunct...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this week’s episode of The Heart Rate Variability Podcast: This Week in HRV Edition, we explore five new studies that highlight the remarkable breadth of heart rate variability research — from the emotional intensity of football matches to adolescent development, from neurofeedback training to fasting physiology, and from cardiometabolic health to organ dysfunction in critical care.
Across all five papers, one theme emerges clearly:
HRV reflects adaptability.
Whether we are celebrating a goal, training the brain, fasting, recovering from illness, or navigating adolescence, autonomic flexibility shapes outcomes.
⚽ Football Fever: HRV During Competitive Match Viewing
A new study published in Scientific Reports (Nature Portfolio) investigates real-time cardiovascular and autonomic responses during high-stakes football matches.
Researchers monitored spectators’ heart rates and HRV during key match events—goals, penalties, near misses, and final outcomes. Moments of uncertainty and threat to the favored team produced:


Significant reductions in vagally mediated HRV


Rapid increases in heart rate


Sustained sympathetic activation in some individuals


Recovery patterns differed based on match outcomes, with prolonged vagal withdrawal observed following unexpected losses.
This research provides mechanistic insight into why major sporting events have been associated with spikes in cardiovascular incidents at the population level.
 Study link: https://www.nature.com/articles/s41598-026-36182-1
 Neurofeedback and Autonomic Regulation
Published through Scientific Research Publishing, this study examined whether structured neurofeedback training influences heart rate variability and cognitive performance.
Participants completed multiple neurofeedback sessions targeting EEG regulation associated with attention and emotional control. Findings included:


Increases in parasympathetic HRV markers


Improved cognitive task performance


Reductions in anxiety-related symptoms


The results support a bidirectional neurocardiac integration model — suggesting that improving cortical regulation may enhance vagal tone.
For clinicians, this raises compelling questions about combining neurofeedback and HRV biofeedback for synergistic regulatory effects.
 Study link: https://www.scirp.org/journal/paperinformation?paperid=149580
⏳ Fasting, Cardiometabolic Health, and Autonomic Balance
In a paper published in Arteriosclerosis, Thrombosis, and Vascular Biology (American Heart Association), researchers examined the cardiovascular effects of structured fasting interventions.
Key findings included:


Improvements in triglyceride levels


Enhanced insulin sensitivity


Variable autonomic responses depending on metabolic status


Early fasting phases were associated with increased sympathetic activity in some participants, while longer-term adaptation appeared to stabilize or improve HRV in metabolically resilient individuals.
This highlights an important clinical principle:
Fasting is a physiological stressor. Whether it becomes adaptive depends on individual autonomic resilience.
 Study link: https://www.ahajournals.org/doi/10.1161/ATVBAHA.125.323355
 HRV as a Predictor of Organ Dysfunction
Published in the Journal of Clinical Monitoring and Computing, this study explored heart rate variability as a biomarker of organ dysfunct...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 25]]>
                </itunes:title>
                                    <itunes:episode>25</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this week’s episode of <em>The Heart Rate Variability Podcast: This Week in HRV Edition</em>, we explore five new studies that highlight the remarkable breadth of heart rate variability research — from the emotional intensity of football matches to adolescent development, from neurofeedback training to fasting physiology, and from cardiometabolic health to organ dysfunction in critical care.</p>
<p>Across all five papers, one theme emerges clearly:</p>
<p><strong>HRV reflects adaptability.</strong></p>
<p>Whether we are celebrating a goal, training the brain, fasting, recovering from illness, or navigating adolescence, autonomic flexibility shapes outcomes.</p>
<h2>⚽ Football Fever: HRV During Competitive Match Viewing</h2>
<p>A new study published in <em>Scientific Reports</em> (Nature Portfolio) investigates real-time cardiovascular and autonomic responses during high-stakes football matches.</p>
<p>Researchers monitored spectators’ heart rates and HRV during key match events—goals, penalties, near misses, and final outcomes. Moments of uncertainty and threat to the favored team produced:</p>
<ul>
<li>
<p>Significant reductions in vagally mediated HRV</p>
</li>
<li>
<p>Rapid increases in heart rate</p>
</li>
<li>
<p>Sustained sympathetic activation in some individuals</p>
</li>
</ul>
<p>Recovery patterns differed based on match outcomes, with prolonged vagal withdrawal observed following unexpected losses.</p>
<p>This research provides mechanistic insight into why major sporting events have been associated with spikes in cardiovascular incidents at the population level.</p>
<p> Study link:<br /> <a href="https://www.nature.com/articles/s41598-026-36182-1">https://www.nature.com/articles/s41598-026-36182-1</a></p>
<h2> Neurofeedback and Autonomic Regulation</h2>
<p>Published through Scientific Research Publishing, this study examined whether structured neurofeedback training influences heart rate variability and cognitive performance.</p>
<p>Participants completed multiple neurofeedback sessions targeting EEG regulation associated with attention and emotional control. Findings included:</p>
<ul>
<li>
<p>Increases in parasympathetic HRV markers</p>
</li>
<li>
<p>Improved cognitive task performance</p>
</li>
<li>
<p>Reductions in anxiety-related symptoms</p>
</li>
</ul>
<p>The results support a bidirectional neurocardiac integration model — suggesting that improving cortical regulation may enhance vagal tone.</p>
<p>For clinicians, this raises compelling questions about combining neurofeedback and HRV biofeedback for synergistic regulatory effects.</p>
<p> Study link:<br /> <a href="https://www.scirp.org/journal/paperinformation?paperid=149580">https://www.scirp.org/journal/paperinformation?paperid=149580</a></p>
<h2>⏳ Fasting, Cardiometabolic Health, and Autonomic Balance</h2>
<p>In a paper published in <em>Arteriosclerosis, Thrombosis, and Vascular Biology</em> (American Heart Association), researchers examined the cardiovascular effects of structured fasting interventions.</p>
<p>Key findings included:</p>
<ul>
<li>
<p>Improvements in triglyceride levels</p>
</li>
<li>
<p>Enhanced insulin sensitivity</p>
</li>
<li>
<p>Variable autonomic responses depending on metabolic status</p>
</li>
</ul>
<p>Early fasting phases were associated with increased sympathetic activity in some participants, while longer-term adaptation appeared to stabilize or improve HRV in metabolically resilient individuals.</p>
<p>This highlights an important clinical principle:</p>
<p>Fasting is a physiological stressor. Whether it becomes adaptive depends on individual autonomic resilience.</p>
<p> Study link:<br /> <a href="https://www.ahajournals.org/doi/10.1161/ATVBAHA.125.323355">https://www.ahajournals.org/doi/10.1161/ATVBAHA.125.323355</a></p>
<h2> HRV as a Predictor of Organ Dysfunction</h2>
<p>Published in the <em>Journal of Clinical Monitoring and Computing</em>, this study explored heart rate variability as a biomarker of organ dysfunction in critically ill patients.</p>
<p>Researchers found that:</p>
<ul>
<li>
<p>Reduced HRV was associated with worsening organ failure scores</p>
</li>
<li>
<p>Decreased complexity and vagal markers often preceded overt clinical deterioration</p>
</li>
</ul>
<p>This reinforces a core systems principle:</p>
<p>Health is characterized by variability.<br /> Rigidity signals loss of adaptive capacity.</p>
<p>HRV may function as an early warning indicator in critical care environments.</p>
<p> Study link:<br /> <a href="https://link.springer.com/article/10.1007/s10877-026-01417-z">https://link.springer.com/article/10.1007/s10877-026-01417-z</a></p>
<h2>‍ Adolescence and Autonomic Development</h2>
<p>A new study in <em>Physiological Reports</em> examined autonomic maturation during adolescence and its implications for long-term cardiovascular health.</p>
<p>Findings suggest that:</p>
<ul>
<li>
<p>Adolescence involves dynamic remodeling of sympathetic and parasympathetic balance</p>
</li>
<li>
<p>HRV trajectories during this developmental window may influence future cardiovascular risk</p>
</li>
<li>
<p>Early-life stress and lifestyle factors may shape long-term autonomic resilience</p>
</li>
</ul>
<p>Given that many mental health disorders emerge during adolescence, supporting vagal regulation during this stage may have lifelong implications.</p>
<p> Study link:<br /> <a href="https://physoc.onlinelibrary.wiley.com/doi/10.14814/phy2.70769">https://physoc.onlinelibrary.wiley.com/doi/10.14814/phy2.70769</a></p>
<h2>Key Themes from This Week</h2>
<ul>
<li>
<p>Emotional stress is embodied stress</p>
</li>
<li>
<p>Brain training influences cardiac regulation</p>
</li>
<li>
<p>Metabolic stress must be individualized</p>
</li>
<li>
<p>Loss of variability predicts systemic decline</p>
</li>
<li>
<p>Autonomic patterns established in adolescence may shape decades of health</p>
</li>
</ul>
<p>Heart rate variability continues to demonstrate its value not as a single number, but as a dynamic reflection of adaptability across contexts.</p>
<h2>Sponsored by Optimal HRV</h2>
<p>This episode is sponsored by Optimal HRV.</p>
<p>Optimal HRV provides trauma-informed, research-based HRV assessment and biofeedback tools designed specifically for clinicians and healthcare professionals. The platform supports tracking of the nervous system, resilience training, and structured biofeedback in clinical and performance settings.</p>
<p>Learn more at:<br /> <a href="https://optimalhrv.com">https://optimalhrv.com</a></p>
<h2>Medical Disclaimer</h2>
<p>This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before applying any strategies discussed.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this week’s episode of The Heart Rate Variability Podcast: This Week in HRV Edition, we explore five new studies that highlight the remarkable breadth of heart rate variability research — from the emotional intensity of football matches to adolescent development, from neurofeedback training to fasting physiology, and from cardiometabolic health to organ dysfunction in critical care.
Across all five papers, one theme emerges clearly:
HRV reflects adaptability.
Whether we are celebrating a goal, training the brain, fasting, recovering from illness, or navigating adolescence, autonomic flexibility shapes outcomes.
⚽ Football Fever: HRV During Competitive Match Viewing
A new study published in Scientific Reports (Nature Portfolio) investigates real-time cardiovascular and autonomic responses during high-stakes football matches.
Researchers monitored spectators’ heart rates and HRV during key match events—goals, penalties, near misses, and final outcomes. Moments of uncertainty and threat to the favored team produced:


Significant reductions in vagally mediated HRV


Rapid increases in heart rate


Sustained sympathetic activation in some individuals


Recovery patterns differed based on match outcomes, with prolonged vagal withdrawal observed following unexpected losses.
This research provides mechanistic insight into why major sporting events have been associated with spikes in cardiovascular incidents at the population level.
 Study link: https://www.nature.com/articles/s41598-026-36182-1
 Neurofeedback and Autonomic Regulation
Published through Scientific Research Publishing, this study examined whether structured neurofeedback training influences heart rate variability and cognitive performance.
Participants completed multiple neurofeedback sessions targeting EEG regulation associated with attention and emotional control. Findings included:


Increases in parasympathetic HRV markers


Improved cognitive task performance


Reductions in anxiety-related symptoms


The results support a bidirectional neurocardiac integration model — suggesting that improving cortical regulation may enhance vagal tone.
For clinicians, this raises compelling questions about combining neurofeedback and HRV biofeedback for synergistic regulatory effects.
 Study link: https://www.scirp.org/journal/paperinformation?paperid=149580
⏳ Fasting, Cardiometabolic Health, and Autonomic Balance
In a paper published in Arteriosclerosis, Thrombosis, and Vascular Biology (American Heart Association), researchers examined the cardiovascular effects of structured fasting interventions.
Key findings included:


Improvements in triglyceride levels


Enhanced insulin sensitivity


Variable autonomic responses depending on metabolic status


Early fasting phases were associated with increased sympathetic activity in some participants, while longer-term adaptation appeared to stabilize or improve HRV in metabolically resilient individuals.
This highlights an important clinical principle:
Fasting is a physiological stressor. Whether it becomes adaptive depends on individual autonomic resilience.
 Study link: https://www.ahajournals.org/doi/10.1161/ATVBAHA.125.323355
 HRV as a Predictor of Organ Dysfunction
Published in the Journal of Clinical Monitoring and Computing, this study explored heart rate variability as a biomarker of organ dysfunct...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:25:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Tommy Rhee's Innovative Approach to Regenerative Health]]>
                </title>
                <pubDate>Thu, 12 Feb 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2335482</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-tommy-rhees-innovative-approach-to-regenerative-health</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett interviews chiropractor Dr. Tommy Rhee about his utilization of heart rate variability in his innovative approach to regenerative health, recovery, and performance.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett interviews chiropractor Dr. Tommy Rhee about his utilization of heart rate variability in his innovative approach to regenerative health, recovery, and performance.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Tommy Rhee's Innovative Approach to Regenerative Health]]>
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                    <![CDATA[<p>In this episode, Matt Bennett interviews chiropractor Dr. Tommy Rhee about his utilization of heart rate variability in his innovative approach to regenerative health, recovery, and performance.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett interviews chiropractor Dr. Tommy Rhee about his utilization of heart rate variability in his innovative approach to regenerative health, recovery, and performance.]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:55:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 24]]>
                </title>
                <pubDate>Tue, 10 Feb 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2353139</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-24</link>
                                <description>
                                            <![CDATA[<p>In Episode 24 of the Heart Rate Variability Podcast, we explore five recent studies that span trauma recovery, personality theory, migraine prediction, heart failure monitoring, and fundamental vagal sensory mechanisms. Together, these papers deepen our understanding of HRV not as a static metric, but as a dynamic signal shaped by interoception, context, and time.</p>
<p>This episode emphasizes HRV as a marker of <strong>felt safety</strong>, <strong>autonomic integration</strong>, and <strong>physiological sensing</strong>, highlighting how vagal activity reflects not only brain-mediated regulation but also incoming sensory information from the body. Implications are discussed for clinicians, researchers, and individuals seeking a more nuanced and compassionate understanding of nervous system function.</p>
<h3>Medical Disclaimer</h3>
<p>This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before making changes to medical care, mental health treatment, or lifestyle practices.</p>
<h2>STUDIES DISCUSSED IN THIS EPISODE</h2>
<h3>Felt Safety and Body-Oriented Trauma Intervention</h3>
<p><strong>Full Title:</strong><br />From Somatic Experiencing to felt safety: Assessing the effects of a body-oriented intervention in adults with various degrees of child maltreatment</p>
<p><strong>Authors:</strong><br />Jörgen Lehmivaara<br />Billy Jansson<br />Jens Bernhardsson<br />Marylène Cloitre<br />Monique C. Pfaltz</p>
<p><strong>Journal:</strong><br />European Journal of Psychotraumatology</p>
<p><strong>Publication Year:</strong><br />2026</p>
<p><strong>Key Points:</strong><br />• A brief Somatic Experiencing–based intervention significantly increased psychological safety<br />• Participants showed improvements in affect and social connectedness<br />• Heart rate decreased, and HRV increased during the intervention<br />• Reductions in disrupted body boundaries and increased interoceptive awareness were observed<br />• Findings support felt safety as an embodied, physiologically measurable state</p>
<p><strong>Article Link:</strong><br /><a href="https://doi.org/10.1080/20008066.2026.2613544">https://doi.org/10.1080/20008066.2026.2613544</a></p>
<h3>Autonomic Integration and the Triangle Therapy Hypothesis</h3>
<p><strong>Full Title:</strong><br />Integrating autonomic and affective pathways in borderline personality disorder: The triangle therapy hypothesis</p>
<p><strong>Author:</strong><br />Daniel Juraszek</p>
<p><strong>Journal:</strong><br />Frontiers in Psychology</p>
<p><strong>Publication Year:</strong><br />2026</p>
<p><strong>Key Points:</strong><br />• Proposes a somatic pre-phase intervention targeting autonomic regulation<br />• Centers on exposure to silence, sound, and isolation as ancestral affective conditions<br />• Frames BPD as a disorder of autonomic-affective integration rather than cognition alone<br />• Suggests HRV as a physiological marker of treatment readiness and integration<br />• Emphasizes bottom-up tolerance before top-down therapeutic work</p>
<p><strong>Article Link:</strong><br /><a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1686068/full">https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1686068/full</a></p>
<h3>Sleep-Time HRV and Migraine Prediction</h3>
<p><strong>Full Title:</strong><br />Heart rate variability as a predictor of migraine: Sleep-time data analysis of pre-migraine nights</p>
<p><strong>Authors:</strong><br />Rūta Jankevičiūtė<br />Viroslava Kapustynska<br />Vytautas Abromavičius</p>
<p><strong>Journal:</strong><br />Technology and Health Care</p>
<p><strong>Publication Year:</strong><br />2026</p>
<p><strong>Key Points:</strong><br />• Sleep-time HRV patterns differed on nights preceding migraine attacks<br />• Significant inter-individual variability was observed...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In Episode 24 of the Heart Rate Variability Podcast, we explore five recent studies that span trauma recovery, personality theory, migraine prediction, heart failure monitoring, and fundamental vagal sensory mechanisms. Together, these papers deepen our understanding of HRV not as a static metric, but as a dynamic signal shaped by interoception, context, and time.
This episode emphasizes HRV as a marker of felt safety, autonomic integration, and physiological sensing, highlighting how vagal activity reflects not only brain-mediated regulation but also incoming sensory information from the body. Implications are discussed for clinicians, researchers, and individuals seeking a more nuanced and compassionate understanding of nervous system function.
Medical Disclaimer
This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before making changes to medical care, mental health treatment, or lifestyle practices.
STUDIES DISCUSSED IN THIS EPISODE
Felt Safety and Body-Oriented Trauma Intervention
Full Title:From Somatic Experiencing to felt safety: Assessing the effects of a body-oriented intervention in adults with various degrees of child maltreatment
Authors:Jörgen LehmivaaraBilly JanssonJens BernhardssonMarylène CloitreMonique C. Pfaltz
Journal:European Journal of Psychotraumatology
Publication Year:2026
Key Points:• A brief Somatic Experiencing–based intervention significantly increased psychological safety• Participants showed improvements in affect and social connectedness• Heart rate decreased, and HRV increased during the intervention• Reductions in disrupted body boundaries and increased interoceptive awareness were observed• Findings support felt safety as an embodied, physiologically measurable state
Article Link:https://doi.org/10.1080/20008066.2026.2613544
Autonomic Integration and the Triangle Therapy Hypothesis
Full Title:Integrating autonomic and affective pathways in borderline personality disorder: The triangle therapy hypothesis
Author:Daniel Juraszek
Journal:Frontiers in Psychology
Publication Year:2026
Key Points:• Proposes a somatic pre-phase intervention targeting autonomic regulation• Centers on exposure to silence, sound, and isolation as ancestral affective conditions• Frames BPD as a disorder of autonomic-affective integration rather than cognition alone• Suggests HRV as a physiological marker of treatment readiness and integration• Emphasizes bottom-up tolerance before top-down therapeutic work
Article Link:https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1686068/full
Sleep-Time HRV and Migraine Prediction
Full Title:Heart rate variability as a predictor of migraine: Sleep-time data analysis of pre-migraine nights
Authors:Rūta JankevičiūtėViroslava KapustynskaVytautas Abromavičius
Journal:Technology and Health Care
Publication Year:2026
Key Points:• Sleep-time HRV patterns differed on nights preceding migraine attacks• Significant inter-individual variability was observed...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 24]]>
                </itunes:title>
                                    <itunes:episode>24</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In Episode 24 of the Heart Rate Variability Podcast, we explore five recent studies that span trauma recovery, personality theory, migraine prediction, heart failure monitoring, and fundamental vagal sensory mechanisms. Together, these papers deepen our understanding of HRV not as a static metric, but as a dynamic signal shaped by interoception, context, and time.</p>
<p>This episode emphasizes HRV as a marker of <strong>felt safety</strong>, <strong>autonomic integration</strong>, and <strong>physiological sensing</strong>, highlighting how vagal activity reflects not only brain-mediated regulation but also incoming sensory information from the body. Implications are discussed for clinicians, researchers, and individuals seeking a more nuanced and compassionate understanding of nervous system function.</p>
<h3>Medical Disclaimer</h3>
<p>This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before making changes to medical care, mental health treatment, or lifestyle practices.</p>
<h2>STUDIES DISCUSSED IN THIS EPISODE</h2>
<h3>Felt Safety and Body-Oriented Trauma Intervention</h3>
<p><strong>Full Title:</strong><br />From Somatic Experiencing to felt safety: Assessing the effects of a body-oriented intervention in adults with various degrees of child maltreatment</p>
<p><strong>Authors:</strong><br />Jörgen Lehmivaara<br />Billy Jansson<br />Jens Bernhardsson<br />Marylène Cloitre<br />Monique C. Pfaltz</p>
<p><strong>Journal:</strong><br />European Journal of Psychotraumatology</p>
<p><strong>Publication Year:</strong><br />2026</p>
<p><strong>Key Points:</strong><br />• A brief Somatic Experiencing–based intervention significantly increased psychological safety<br />• Participants showed improvements in affect and social connectedness<br />• Heart rate decreased, and HRV increased during the intervention<br />• Reductions in disrupted body boundaries and increased interoceptive awareness were observed<br />• Findings support felt safety as an embodied, physiologically measurable state</p>
<p><strong>Article Link:</strong><br /><a href="https://doi.org/10.1080/20008066.2026.2613544">https://doi.org/10.1080/20008066.2026.2613544</a></p>
<h3>Autonomic Integration and the Triangle Therapy Hypothesis</h3>
<p><strong>Full Title:</strong><br />Integrating autonomic and affective pathways in borderline personality disorder: The triangle therapy hypothesis</p>
<p><strong>Author:</strong><br />Daniel Juraszek</p>
<p><strong>Journal:</strong><br />Frontiers in Psychology</p>
<p><strong>Publication Year:</strong><br />2026</p>
<p><strong>Key Points:</strong><br />• Proposes a somatic pre-phase intervention targeting autonomic regulation<br />• Centers on exposure to silence, sound, and isolation as ancestral affective conditions<br />• Frames BPD as a disorder of autonomic-affective integration rather than cognition alone<br />• Suggests HRV as a physiological marker of treatment readiness and integration<br />• Emphasizes bottom-up tolerance before top-down therapeutic work</p>
<p><strong>Article Link:</strong><br /><a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1686068/full">https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1686068/full</a></p>
<h3>Sleep-Time HRV and Migraine Prediction</h3>
<p><strong>Full Title:</strong><br />Heart rate variability as a predictor of migraine: Sleep-time data analysis of pre-migraine nights</p>
<p><strong>Authors:</strong><br />Rūta Jankevičiūtė<br />Viroslava Kapustynska<br />Vytautas Abromavičius</p>
<p><strong>Journal:</strong><br />Technology and Health Care</p>
<p><strong>Publication Year:</strong><br />2026</p>
<p><strong>Key Points:</strong><br />• Sleep-time HRV patterns differed on nights preceding migraine attacks<br />• Significant inter-individual variability was observed<br />• Machine-learning models showed promise for personalized prediction<br />• HRV appears most useful when analyzed longitudinally within individuals<br />• Highlights sleep as a low-noise window for autonomic assessment</p>
<p><strong>Article Link:</strong><br /><a href="https://doi.org/10.1177/09287329251412968">https://doi.org/10.1177/09287329251412968</a></p>
<h3>Long-Duration HRV in Severe Heart Failure</h3>
<p><strong>Full Title:</strong><br />Physiological characterisation of severe heart failure using long-duration ambulatory ECG: A retrospective exploratory analysis</p>
<p><strong>Authors:</strong><br />Junaid Aamir Khan<br />Usman Ali<br />Md Tanzim Ahsan<br />Ratan Chandra Roy<br />Opeyemi S. Alamu<br />Francesco Alessi Longa</p>
<p><strong>Journal:</strong><br />Cureus</p>
<p><strong>Publication Year:</strong><br />2026</p>
<p><strong>Key Points:</strong><br />• Severe heart failure patients showed globally reduced HRV<br />• Substantial within-subject variability was observed across recording periods<br />• HRV and heart rate did not always move together<br />• Long-duration recordings captured dynamics missed by short assessments<br />• Supports continuous monitoring for detecting instability and decompensation</p>
<p><strong>Article Link:</strong><br /><a href="https://www.cureus.com/articles/456345">https://www.cureus.com/articles/456345</a></p>
<h3>Vagal Sensory Receptors and Blood Volume Regulation</h3>
<p><strong>Full Title:</strong><br />Vagal blood volume receptors compensate for haemorrhage and posture change</p>
<p><strong>Authors:</strong><br />Zhikai Liu<br />Shan Lu<br />Isabela A. Haskell<br />Michael S. Schappe<br />Maša Josipović<br />Soohong Min<br />AbdulRasheed A. Alabi<br />Jingyi Chi<br />Minseon Kim<br />Stephen D. Liberles</p>
<p><strong>Journal:</strong><br />Nature</p>
<p><strong>Publication Year:</strong><br />2026</p>
<p><strong>Key Points:</strong><br />• Identified vagal sensory neurons expressing PIEZO2<br />• These neurons encode central blood volume, not just pressure<br />• Essential for compensation during posture change and blood loss<br />• Loss of these receptors impaired autonomic stability<br />• Reframes vagal tone as a sensory-regulatory loop</p>
<p><strong>Article Link:</strong><br /><a href="https://www.nature.com/articles/s41586-025-10010-4">https://www.nature.com/articles/s41586-025-10010-4</a></p>
<p></p>
<h3>Sponsor</h3>
<p>This episode is sponsored by <strong>Optimal HRV</strong>.</p>
<p>Optimal HRV provides trauma-informed, research-based heart rate variability biofeedback tools for clinicians, researchers, and individuals. The platform integrates HRV assessment, guided breathing, biofeedback training, and professional education to support nervous system regulation and resilience.</p>
<p>Learn more at:<br /><a href="https://optimalhrv.com/">https://optimalhrv.com</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2353139/c1e-pq7xtw85wncmowm4-gp5p2rnmsx3j-bwdzo5.mp3" length="11045180"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In Episode 24 of the Heart Rate Variability Podcast, we explore five recent studies that span trauma recovery, personality theory, migraine prediction, heart failure monitoring, and fundamental vagal sensory mechanisms. Together, these papers deepen our understanding of HRV not as a static metric, but as a dynamic signal shaped by interoception, context, and time.
This episode emphasizes HRV as a marker of felt safety, autonomic integration, and physiological sensing, highlighting how vagal activity reflects not only brain-mediated regulation but also incoming sensory information from the body. Implications are discussed for clinicians, researchers, and individuals seeking a more nuanced and compassionate understanding of nervous system function.
Medical Disclaimer
This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before making changes to medical care, mental health treatment, or lifestyle practices.
STUDIES DISCUSSED IN THIS EPISODE
Felt Safety and Body-Oriented Trauma Intervention
Full Title:From Somatic Experiencing to felt safety: Assessing the effects of a body-oriented intervention in adults with various degrees of child maltreatment
Authors:Jörgen LehmivaaraBilly JanssonJens BernhardssonMarylène CloitreMonique C. Pfaltz
Journal:European Journal of Psychotraumatology
Publication Year:2026
Key Points:• A brief Somatic Experiencing–based intervention significantly increased psychological safety• Participants showed improvements in affect and social connectedness• Heart rate decreased, and HRV increased during the intervention• Reductions in disrupted body boundaries and increased interoceptive awareness were observed• Findings support felt safety as an embodied, physiologically measurable state
Article Link:https://doi.org/10.1080/20008066.2026.2613544
Autonomic Integration and the Triangle Therapy Hypothesis
Full Title:Integrating autonomic and affective pathways in borderline personality disorder: The triangle therapy hypothesis
Author:Daniel Juraszek
Journal:Frontiers in Psychology
Publication Year:2026
Key Points:• Proposes a somatic pre-phase intervention targeting autonomic regulation• Centers on exposure to silence, sound, and isolation as ancestral affective conditions• Frames BPD as a disorder of autonomic-affective integration rather than cognition alone• Suggests HRV as a physiological marker of treatment readiness and integration• Emphasizes bottom-up tolerance before top-down therapeutic work
Article Link:https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1686068/full
Sleep-Time HRV and Migraine Prediction
Full Title:Heart rate variability as a predictor of migraine: Sleep-time data analysis of pre-migraine nights
Authors:Rūta JankevičiūtėViroslava KapustynskaVytautas Abromavičius
Journal:Technology and Health Care
Publication Year:2026
Key Points:• Sleep-time HRV patterns differed on nights preceding migraine attacks• Significant inter-individual variability was observed...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:11:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 23]]>
                </title>
                <pubDate>Tue, 03 Feb 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2345914</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-23</link>
                                <description>
                                            <![CDATA[<p><strong>EPISODE 23 – THIS WEEK IN HEART RATE VARIABILITY</strong></p>
<p><strong>Episode Title:</strong><br />HRV Across Cardiovascular Disease, Stress, Cognition, Development, and Social Connection</p>
<p><strong>Episode Summary:</strong><br />In Episode 23 of the Heart Rate Variability Podcast, we take an in-depth look at six recent peer-reviewed studies that collectively illustrate how heart rate variability (HRV) is being used across medicine, neuroscience, psychology, and emerging technologies. From cardiovascular disease prognosis to chronic stress burden, from Alzheimer’s-related fall risk to virtual reality–based physiological synchrony, this episode highlights HRV as a transdiagnostic marker of autonomic flexibility, resilience, and vulnerability.</p>
<p>Rather than treating HRV as a single “good or bad” number, this episode emphasizes context, interpretation, and clinical nuance. HRV is explored as a window into nervous system regulation across the lifespan and across settings, with implications for clinicians, researchers, and individuals alike.</p>
<p><strong>Medical Disclaimer:</strong><br />This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before making changes to medical care, mental health treatment, or lifestyle practices.</p>
<p>STUDIES DISCUSSED IN THIS EPISODE</p>
<ol>
<li>
<p><strong>Cardiovascular Disease and HRV (Review Article)</strong></p>
</li>
</ol>
<p><strong>Full Title:</strong><br />Heart rate variability in cardiovascular disease diagnosis, prognosis, and management</p>
<p><strong>Authors:</strong><br />Brian Xiangzhi Wang, MD<br />Ella Brennand, MD<br />Pierre Le Page, MD<br />Andrew R. J. Mitchell, MD, PhD</p>
<p><strong>Affiliations:</strong><br />Department of Medicine, Jersey General Hospital, St. Helier, Jersey<br />Department of Medicine, John Radcliffe Hospital, Oxford University Hospitals, Oxford, United Kingdom</p>
<p><strong>Journal:</strong><br />Frontiers in Cardiovascular Medicine<br />Section: Cardiac Rhythmology<br /><strong>Publication Date:</strong> January 26, 2026</p>
<p><strong>Key Points:</strong><br />• Reduced HRV is associated with arrhythmias, heart failure, ischemic heart disease, and post–myocardial infarction outcomes<br />• HRV may reveal early autonomic dysfunction before overt clinical symptoms<br />• Prognostic value of HRV remains debated due to mixed findings and methodological variability<br />• HRV shows promise for tracking recovery and monitoring comorbid conditions such as depression<br />• Wearable devices and machine learning may expand HRV’s clinical utility<br />• Major challenges include a lack of standardization and limited incremental predictive value over established risk factors</p>
<p>Article Link:<br /><a href="https://doi.org/10.3389/fcvm.2025.1680783">https://doi.org/10.3389/fcvm.2025.1680783</a></p>
<ol start="2">
<li>
<p><strong>Allostatic Load, HRV, and Brain Networks</strong></p>
</li>
</ol>
<p><strong>Full Title:</strong><br />Linking allostatic load, heart rate variability and brain functional networks and structures in healthy men</p>
<p><strong>Authors:</strong><br />Juan M. Solano-Atehortua<br />Gabriel Castrillón<br />Jazmin X. Suarez-Revelo<br />Juan D. Sánchez-López<br />Daniel A. Vargas-Tejada<br />Valentina Hawkins-Caicedo<br />Juan C. Calderón<br />Jaime Gallo-Villegas<br />Yedselt V. Ospina-Serrano<br />Juan D. Caicedo-Jaramillo<br />Ana L. Miranda-Angulo</p>
<p><strong>Journal:</strong><br />Psychoneuroendocrinology<br /><strong>Publication Year:</strong> 2026</p>
<p><strong>Key Points:</strong><br />• Higher allostatic load is associated with lower HRV in healthy men<br />• A seven-biomarker allostatic load index (ALI-7) was positively associated with the LF/HF ratio<br />• Findings suggest increased sympathetic dominance with gr...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[EPISODE 23 – THIS WEEK IN HEART RATE VARIABILITY
Episode Title:HRV Across Cardiovascular Disease, Stress, Cognition, Development, and Social Connection
Episode Summary:In Episode 23 of the Heart Rate Variability Podcast, we take an in-depth look at six recent peer-reviewed studies that collectively illustrate how heart rate variability (HRV) is being used across medicine, neuroscience, psychology, and emerging technologies. From cardiovascular disease prognosis to chronic stress burden, from Alzheimer’s-related fall risk to virtual reality–based physiological synchrony, this episode highlights HRV as a transdiagnostic marker of autonomic flexibility, resilience, and vulnerability.
Rather than treating HRV as a single “good or bad” number, this episode emphasizes context, interpretation, and clinical nuance. HRV is explored as a window into nervous system regulation across the lifespan and across settings, with implications for clinicians, researchers, and individuals alike.
Medical Disclaimer:This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before making changes to medical care, mental health treatment, or lifestyle practices.
STUDIES DISCUSSED IN THIS EPISODE


Cardiovascular Disease and HRV (Review Article)


Full Title:Heart rate variability in cardiovascular disease diagnosis, prognosis, and management
Authors:Brian Xiangzhi Wang, MDElla Brennand, MDPierre Le Page, MDAndrew R. J. Mitchell, MD, PhD
Affiliations:Department of Medicine, Jersey General Hospital, St. Helier, JerseyDepartment of Medicine, John Radcliffe Hospital, Oxford University Hospitals, Oxford, United Kingdom
Journal:Frontiers in Cardiovascular MedicineSection: Cardiac RhythmologyPublication Date: January 26, 2026
Key Points:• Reduced HRV is associated with arrhythmias, heart failure, ischemic heart disease, and post–myocardial infarction outcomes• HRV may reveal early autonomic dysfunction before overt clinical symptoms• Prognostic value of HRV remains debated due to mixed findings and methodological variability• HRV shows promise for tracking recovery and monitoring comorbid conditions such as depression• Wearable devices and machine learning may expand HRV’s clinical utility• Major challenges include a lack of standardization and limited incremental predictive value over established risk factors
Article Link:https://doi.org/10.3389/fcvm.2025.1680783


Allostatic Load, HRV, and Brain Networks


Full Title:Linking allostatic load, heart rate variability and brain functional networks and structures in healthy men
Authors:Juan M. Solano-AtehortuaGabriel CastrillónJazmin X. Suarez-ReveloJuan D. Sánchez-LópezDaniel A. Vargas-TejadaValentina Hawkins-CaicedoJuan C. CalderónJaime Gallo-VillegasYedselt V. Ospina-SerranoJuan D. Caicedo-JaramilloAna L. Miranda-Angulo
Journal:PsychoneuroendocrinologyPublication Year: 2026
Key Points:• Higher allostatic load is associated with lower HRV in healthy men• A seven-biomarker allostatic load index (ALI-7) was positively associated with the LF/HF ratio• Findings suggest increased sympathetic dominance with gr...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 23]]>
                </itunes:title>
                                    <itunes:episode>23</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>EPISODE 23 – THIS WEEK IN HEART RATE VARIABILITY</strong></p>
<p><strong>Episode Title:</strong><br />HRV Across Cardiovascular Disease, Stress, Cognition, Development, and Social Connection</p>
<p><strong>Episode Summary:</strong><br />In Episode 23 of the Heart Rate Variability Podcast, we take an in-depth look at six recent peer-reviewed studies that collectively illustrate how heart rate variability (HRV) is being used across medicine, neuroscience, psychology, and emerging technologies. From cardiovascular disease prognosis to chronic stress burden, from Alzheimer’s-related fall risk to virtual reality–based physiological synchrony, this episode highlights HRV as a transdiagnostic marker of autonomic flexibility, resilience, and vulnerability.</p>
<p>Rather than treating HRV as a single “good or bad” number, this episode emphasizes context, interpretation, and clinical nuance. HRV is explored as a window into nervous system regulation across the lifespan and across settings, with implications for clinicians, researchers, and individuals alike.</p>
<p><strong>Medical Disclaimer:</strong><br />This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before making changes to medical care, mental health treatment, or lifestyle practices.</p>
<p>STUDIES DISCUSSED IN THIS EPISODE</p>
<ol>
<li>
<p><strong>Cardiovascular Disease and HRV (Review Article)</strong></p>
</li>
</ol>
<p><strong>Full Title:</strong><br />Heart rate variability in cardiovascular disease diagnosis, prognosis, and management</p>
<p><strong>Authors:</strong><br />Brian Xiangzhi Wang, MD<br />Ella Brennand, MD<br />Pierre Le Page, MD<br />Andrew R. J. Mitchell, MD, PhD</p>
<p><strong>Affiliations:</strong><br />Department of Medicine, Jersey General Hospital, St. Helier, Jersey<br />Department of Medicine, John Radcliffe Hospital, Oxford University Hospitals, Oxford, United Kingdom</p>
<p><strong>Journal:</strong><br />Frontiers in Cardiovascular Medicine<br />Section: Cardiac Rhythmology<br /><strong>Publication Date:</strong> January 26, 2026</p>
<p><strong>Key Points:</strong><br />• Reduced HRV is associated with arrhythmias, heart failure, ischemic heart disease, and post–myocardial infarction outcomes<br />• HRV may reveal early autonomic dysfunction before overt clinical symptoms<br />• Prognostic value of HRV remains debated due to mixed findings and methodological variability<br />• HRV shows promise for tracking recovery and monitoring comorbid conditions such as depression<br />• Wearable devices and machine learning may expand HRV’s clinical utility<br />• Major challenges include a lack of standardization and limited incremental predictive value over established risk factors</p>
<p>Article Link:<br /><a href="https://doi.org/10.3389/fcvm.2025.1680783">https://doi.org/10.3389/fcvm.2025.1680783</a></p>
<ol start="2">
<li>
<p><strong>Allostatic Load, HRV, and Brain Networks</strong></p>
</li>
</ol>
<p><strong>Full Title:</strong><br />Linking allostatic load, heart rate variability and brain functional networks and structures in healthy men</p>
<p><strong>Authors:</strong><br />Juan M. Solano-Atehortua<br />Gabriel Castrillón<br />Jazmin X. Suarez-Revelo<br />Juan D. Sánchez-López<br />Daniel A. Vargas-Tejada<br />Valentina Hawkins-Caicedo<br />Juan C. Calderón<br />Jaime Gallo-Villegas<br />Yedselt V. Ospina-Serrano<br />Juan D. Caicedo-Jaramillo<br />Ana L. Miranda-Angulo</p>
<p><strong>Journal:</strong><br />Psychoneuroendocrinology<br /><strong>Publication Year:</strong> 2026</p>
<p><strong>Key Points:</strong><br />• Higher allostatic load is associated with lower HRV in healthy men<br />• A seven-biomarker allostatic load index (ALI-7) was positively associated with the LF/HF ratio<br />• Findings suggest increased sympathetic dominance with greater cumulative stress burden<br />• Brain functional connectivity and structure did not significantly moderate the HRV–allostatic load relationship<br />• ALI-7 may serve as an early marker of morbidity and mortality risk</p>
<p><strong>Article Link:</strong><br /><a href="https://doi.org/10.1016/j.psyneuen.2026.107759">https://doi.org/10.1016/j.psyneuen.2026.107759</a></p>
<ol start="3">
<li>
<p><strong>HRV and Falls in Alzheimer’s Disease</strong></p>
</li>
</ol>
<p><strong>Full Title:</strong><br />Assessment of heart rate variability and occurrence of falls in Alzheimer’s disease: an exploratory study</p>
<p><strong>Authors:</strong><br />Evelize Antunes Rodrigues<br />Aline Roberta Danaga<br />Etiene Farah Teixeira de Carvalho<br />Carlos Alberto Santos Filho<br />José Burgos Ponce<br />Alessandro Ferrari Jacinto</p>
<p><strong>Journal:</strong><br />Arquivos de Neuro-Psiquiatria<br /><strong>Publication Date:</strong> January 25, 2026</p>
<p><strong>Key Points:</strong><br />• Older adults with Alzheimer’s disease showed greater autonomic dysfunction than controls<br />• Reduced parasympathetic activity and increased sympathetic dominance were observed<br />• Autonomic impairment was more pronounced during orthostatic challenge<br />• Alzheimer’s group experienced a higher incidence of falls<br />• Fall history was associated with HRV components</p>
<p>Article Link:<br /><a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12832160/">https://pmc.ncbi.nlm.nih.gov/articles/PMC12832160/</a></p>
<ol start="4">
<li>
<p><strong>HRV Synchrony in Virtual Reality Collaboration</strong></p>
</li>
</ol>
<p><strong>Full Title:</strong><br />Remote collaboration in virtual reality induces physiological synchrony comparable to face-to-face interaction</p>
<p><strong>Authors:</strong><br />Stephan Streuber<br />Sarah Rogula<br />Maria Alejandra Quirós-Ramírez<br />Jens Pruessner</p>
<p><strong>Journal:</strong><br />Scientific Reports (Nature Portfolio)<br /><strong>Publication Date:</strong> January 27, 2026</p>
<p><strong>Key Points:</strong><br />• Physiological synchrony reflects implicit social and emotional alignment<br />• HRV synchrony was strong in face-to-face and immersive VR collaboration<br />• HRV synchrony was significantly weaker during video conferencing<br />• VR may support autonomic co-regulation and social cohesion</p>
<p><strong>Article Link:</strong><br /><a href="https://www.nature.com/articles/s41598-026-35955-y">https://www.nature.com/articles/s41598-026-35955-y</a></p>
<ol start="5">
<li>
<p><strong>HRV and Attention in Children with ADHD</strong></p>
</li>
</ol>
<p><strong>Full Title:</strong><br />Heart Rate Variability and MOXO d-CPT Relationship in Children with Attention Deficit Hyperactivity Disorder</p>
<p><strong>Authors:</strong><br />Sultan Tarlacı<br />Yaren Kaya Topal</p>
<p><strong>Journal:</strong><br />Applied Psychophysiology and Biofeedback<br /><strong>Publication Date:</strong> January 27, 2026</p>
<p><strong>Key Points:</strong><br />• Children with poorer MOXO performance showed higher sympathetic activation<br />• VLF power and SNS Index were the most robust HRV markers<br />• Traditional HRV metrics (SDNN, RMSSD) showed only modest, non-significant trends<br />• HRV may be useful for monitoring regulation and treatment response rather than diagnosis</p>
<p><strong>Article Link:</strong><br /><a href="https://link.springer.com/article/10.1007/s10484-026-09766-w">https://link.springer.com/article/10.1007/s10484-026-09766-w</a></p>
<ol start="6">
<li>
<p><strong>HRV Dynamics in Subjective Cognitive Decline</strong></p>
</li>
</ol>
<p><strong>Full Title:</strong><br />Cognitive changes and emotional heart rate variability dynamics in subjective cognitive decline: An exploratory longitudinal neuropsychophysiological study</p>
<p><strong>Authors:</strong><br />Giuseppina Elena Cipriani<br />Francesca Borghesi<br />Pietro Cipresso<br />Nicola Canessa<br />Sara Molfese<br />Cristiano Manco<br />Alice Chirico<br />Gloria Simoncini<br />Matteo Anselmino<br />Martina Amanzio</p>
<p><strong>Journal:</strong><br />Acta Psychologica<br /><strong>Publication Year: </strong>2026</p>
<p><strong>Key Points:</strong><br />• HRV responses during emotional stimulation correlated with cognitive trajectories<br />• Changes in parasympathetic indices were associated with changes in cognition<br />• Findings align with neurovisceral integration models<br />• HRV may serve as an early psychophysiological marker of cognitive vulnerability</p>
<p><strong>Article Link:</strong><br /><a href="https://doi.org/10.1016/j.actpsy.2026.106308">https://doi.org/10.1016/j.actpsy.2026.106308</a></p>
<p>This episode is sponsored by Optimal HRV.</p>
<p>Optimal HRV provides trauma-informed, research-based heart rate variability biofeedback tools for clinicians, researchers, and individuals. The platform integrates HRV assessment, guided breathing, biofeedback training, and professional education to support nervous system regulation and resilience.</p>
<p>Learn more at:<br /><a href="https://optimalhrv.com/">https://optimalhrv.com</a></p>
<p><strong>Upcoming Event:</strong><br />Biofeedback Federation of Europe (BFE) – 24th Annual Meeting</p>
<p><strong>Dates:</strong><br />March 23–28, 2026</p>
<p><strong>Location:</strong><br />Szczecin, Poland</p>
<p><strong>Highlights:</strong><br />• Six days of immersive workshops and scientific programming<br />• International faculty and networking opportunities<br />• Featured presenter: Dr. Inna Khazan<br />• Hands-on training in HRV biofeedback, neurofeedback, and applied psychophysiology</p>
<p><strong>Registration:</strong><br /><a href="https://bfemeeting.org/">https://bfemeeting.org</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2345914/c1e-vqr4t5jv0xtwznw3-v6wvpx23c5z6-2flxga.mp3" length="42911224"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[EPISODE 23 – THIS WEEK IN HEART RATE VARIABILITY
Episode Title:HRV Across Cardiovascular Disease, Stress, Cognition, Development, and Social Connection
Episode Summary:In Episode 23 of the Heart Rate Variability Podcast, we take an in-depth look at six recent peer-reviewed studies that collectively illustrate how heart rate variability (HRV) is being used across medicine, neuroscience, psychology, and emerging technologies. From cardiovascular disease prognosis to chronic stress burden, from Alzheimer’s-related fall risk to virtual reality–based physiological synchrony, this episode highlights HRV as a transdiagnostic marker of autonomic flexibility, resilience, and vulnerability.
Rather than treating HRV as a single “good or bad” number, this episode emphasizes context, interpretation, and clinical nuance. HRV is explored as a window into nervous system regulation across the lifespan and across settings, with implications for clinicians, researchers, and individuals alike.
Medical Disclaimer:This podcast is for educational and informational purposes only and does not constitute medical advice. The information presented is not intended to diagnose, treat, cure, or prevent any disease. Always consult a qualified healthcare professional before making changes to medical care, mental health treatment, or lifestyle practices.
STUDIES DISCUSSED IN THIS EPISODE


Cardiovascular Disease and HRV (Review Article)


Full Title:Heart rate variability in cardiovascular disease diagnosis, prognosis, and management
Authors:Brian Xiangzhi Wang, MDElla Brennand, MDPierre Le Page, MDAndrew R. J. Mitchell, MD, PhD
Affiliations:Department of Medicine, Jersey General Hospital, St. Helier, JerseyDepartment of Medicine, John Radcliffe Hospital, Oxford University Hospitals, Oxford, United Kingdom
Journal:Frontiers in Cardiovascular MedicineSection: Cardiac RhythmologyPublication Date: January 26, 2026
Key Points:• Reduced HRV is associated with arrhythmias, heart failure, ischemic heart disease, and post–myocardial infarction outcomes• HRV may reveal early autonomic dysfunction before overt clinical symptoms• Prognostic value of HRV remains debated due to mixed findings and methodological variability• HRV shows promise for tracking recovery and monitoring comorbid conditions such as depression• Wearable devices and machine learning may expand HRV’s clinical utility• Major challenges include a lack of standardization and limited incremental predictive value over established risk factors
Article Link:https://doi.org/10.3389/fcvm.2025.1680783


Allostatic Load, HRV, and Brain Networks


Full Title:Linking allostatic load, heart rate variability and brain functional networks and structures in healthy men
Authors:Juan M. Solano-AtehortuaGabriel CastrillónJazmin X. Suarez-ReveloJuan D. Sánchez-LópezDaniel A. Vargas-TejadaValentina Hawkins-CaicedoJuan C. CalderónJaime Gallo-VillegasYedselt V. Ospina-SerranoJuan D. Caicedo-JaramilloAna L. Miranda-Angulo
Journal:PsychoneuroendocrinologyPublication Year: 2026
Key Points:• Higher allostatic load is associated with lower HRV in healthy men• A seven-biomarker allostatic load index (ALI-7) was positively associated with the LF/HF ratio• Findings suggest increased sympathetic dominance with gr...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:44:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Addleman and Dr. Lackey discuss their Narrative Review on HRV]]>
                </title>
                <pubDate>Thu, 29 Jan 2026 07:04:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2318674</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-addleman-and-dr-lackey-discuss-their-narrative-review-on-hrv</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett interviews Dr. Jennifer S. Addleman and Nicholas S. Lackey about their recent article Heart Rate Variability Applications in Medical Specialties: A Narrative Review. You can find the article here: <a href="https://link.springer.com/article/10.1007/s10484-025-09708-y.">https://link.springer.com/article/10.1007/s10484-025-09708-y. </a></p>
<p>Dr. Jennifer S. Addleman, DO, CSCS, is a resident physician and certified strength and conditioning specialist (CSCS). She is currently completing her intern year in the Sutter Roseville Transitional Year Residency Program, followed by advanced training in Physiatry at the Stanford Physical Medicine and Rehabilitation Residency Program. Dr. Addleman is active in research involving gait analysis, wearable technology, and heart rate variability. She is passionate about exploring the applications of HRV across medicine and strength and conditioning.</p>
<p>Nicholas Lackey, PhD, BCB, is a Psychology Postdoctoral Resident with the Kaiser Permanente Mental Health Training Program in Northern California. He earned his PhD from Alliant International University in San Diego, during which he also completed the requisite experience for his Board Certification in Biofeedback. He explored research on meta-analyses and then on the implementation of Biofeedback. His dissertation explored the efficacy of a scale in examining types of chronic pain and Central Sensitization. Dr. Lackey aims to continue his career in Health Psychology and to examine the intersection of Psychology and Medicine through multidisciplinary collaboration and practice.</p>
<p>Here is their previous article on strength and conditioning training and heart rate variability mentioned in the episode: <a href="In%20this%20episode,%20Matt%20Bennett%20interviews%20Dr.%20Jennifer%20S.%20Addleman%20and%20Nicholas%20S.%20Lackey%20about%20their%20recent%20article%20Heart%20Rate%20Variability%20Applications%20in%20Medical%20Specialties%3A%20A%20Narrative%20Review.%20%20You%20can%20find%20the%20article%20here%3A%20https%3A/link.springer.com/article/10.1007/s10484-025-09708-y%20%20Dr.%20Jennifer%20S.%20Addleman,%20DO,%20CSCS%20is%20a%20resident%20physician%20and%20certified%20strength%20and%20conditioning%20specialist%20(CSCS).%20She%20is%20currently%20completing%20her%20intern%20year%20with%20the%20Sutter%20Roseville%20Transitional%20Year%20Residency%20Program,%20followed%20by%20her%20advanced%20training%20in%20Physiatry%20with%20the%20Stanford%20Physical%20Medicine%20and%20Rehabilitation%20Residency%20Program.%20Dr.%20Addleman%20is%20active%20in%20research%20involving%20gait%20analysis,%20wearable%20technology%20and%20heart%20rate%20variability.%20She%20is%20passionate%20about%20exploring%20the%20applications%20of%20HRV%20across%20medicine%20and%20strength%20and%20conditioning.%20%20Nicholas%20Lackey,%20PhD,%20BCB,%20is%20a%20Psychology%20Postdoctoral%20Resident%20with%20the%20Kaiser%20Permanente%20Mental%20Health%20Training%20Program%20in%20Northern%20California.%20He%20earned%20his%20PhD%20from%20Alliant%20International%20University%20in%20San%20Diego,%20during%20which%20he%20also%20completed%20the%20requisite%20experience%20for%20his%20Board%20Certification%20in%20Biofeedback.%20He%20explored%20research%20related%20to%20meta-analyses%20and%20then%20with%20the%20implementation%20of%20Biofeedback.%20His%20dissertation%20explored%20the%20efficacy%20of%20a%20scale%20in%20examining%20types%20of%20chronic%20pain%20and%20Central%20Sensitization.%20Dr.%20Lackey%20is%20aiming%20to%20continue%20his%20career%20in%20Health%20Psychology%20and%20examine%20the%20intersection%20of%20Psychology%20and%20Medicine%20through%20multidisciplinary%20collaboration%20and%20practice.%20%20Here%20is%20their%20previous%20article%20on%20strength%20and%20conditioning%20training%20and%20heart%20rate%20variability%20mentioned%20in%20the%20episode:%20https:/pubmed.ncbi.nlm.nih.gov/38921629/">https://pubmed.ncbi.nlm.nih.gov/38921629/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett interviews Dr. Jennifer S. Addleman and Nicholas S. Lackey about their recent article Heart Rate Variability Applications in Medical Specialties: A Narrative Review. You can find the article here: https://link.springer.com/article/10.1007/s10484-025-09708-y. 
Dr. Jennifer S. Addleman, DO, CSCS, is a resident physician and certified strength and conditioning specialist (CSCS). She is currently completing her intern year in the Sutter Roseville Transitional Year Residency Program, followed by advanced training in Physiatry at the Stanford Physical Medicine and Rehabilitation Residency Program. Dr. Addleman is active in research involving gait analysis, wearable technology, and heart rate variability. She is passionate about exploring the applications of HRV across medicine and strength and conditioning.
Nicholas Lackey, PhD, BCB, is a Psychology Postdoctoral Resident with the Kaiser Permanente Mental Health Training Program in Northern California. He earned his PhD from Alliant International University in San Diego, during which he also completed the requisite experience for his Board Certification in Biofeedback. He explored research on meta-analyses and then on the implementation of Biofeedback. His dissertation explored the efficacy of a scale in examining types of chronic pain and Central Sensitization. Dr. Lackey aims to continue his career in Health Psychology and to examine the intersection of Psychology and Medicine through multidisciplinary collaboration and practice.
Here is their previous article on strength and conditioning training and heart rate variability mentioned in the episode: https://pubmed.ncbi.nlm.nih.gov/38921629/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Addleman and Dr. Lackey discuss their Narrative Review on HRV]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett interviews Dr. Jennifer S. Addleman and Nicholas S. Lackey about their recent article Heart Rate Variability Applications in Medical Specialties: A Narrative Review. You can find the article here: <a href="https://link.springer.com/article/10.1007/s10484-025-09708-y.">https://link.springer.com/article/10.1007/s10484-025-09708-y. </a></p>
<p>Dr. Jennifer S. Addleman, DO, CSCS, is a resident physician and certified strength and conditioning specialist (CSCS). She is currently completing her intern year in the Sutter Roseville Transitional Year Residency Program, followed by advanced training in Physiatry at the Stanford Physical Medicine and Rehabilitation Residency Program. Dr. Addleman is active in research involving gait analysis, wearable technology, and heart rate variability. She is passionate about exploring the applications of HRV across medicine and strength and conditioning.</p>
<p>Nicholas Lackey, PhD, BCB, is a Psychology Postdoctoral Resident with the Kaiser Permanente Mental Health Training Program in Northern California. He earned his PhD from Alliant International University in San Diego, during which he also completed the requisite experience for his Board Certification in Biofeedback. He explored research on meta-analyses and then on the implementation of Biofeedback. His dissertation explored the efficacy of a scale in examining types of chronic pain and Central Sensitization. Dr. Lackey aims to continue his career in Health Psychology and to examine the intersection of Psychology and Medicine through multidisciplinary collaboration and practice.</p>
<p>Here is their previous article on strength and conditioning training and heart rate variability mentioned in the episode: <a href="In%20this%20episode,%20Matt%20Bennett%20interviews%20Dr.%20Jennifer%20S.%20Addleman%20and%20Nicholas%20S.%20Lackey%20about%20their%20recent%20article%20Heart%20Rate%20Variability%20Applications%20in%20Medical%20Specialties%3A%20A%20Narrative%20Review.%20%20You%20can%20find%20the%20article%20here%3A%20https%3A/link.springer.com/article/10.1007/s10484-025-09708-y%20%20Dr.%20Jennifer%20S.%20Addleman,%20DO,%20CSCS%20is%20a%20resident%20physician%20and%20certified%20strength%20and%20conditioning%20specialist%20(CSCS).%20She%20is%20currently%20completing%20her%20intern%20year%20with%20the%20Sutter%20Roseville%20Transitional%20Year%20Residency%20Program,%20followed%20by%20her%20advanced%20training%20in%20Physiatry%20with%20the%20Stanford%20Physical%20Medicine%20and%20Rehabilitation%20Residency%20Program.%20Dr.%20Addleman%20is%20active%20in%20research%20involving%20gait%20analysis,%20wearable%20technology%20and%20heart%20rate%20variability.%20She%20is%20passionate%20about%20exploring%20the%20applications%20of%20HRV%20across%20medicine%20and%20strength%20and%20conditioning.%20%20Nicholas%20Lackey,%20PhD,%20BCB,%20is%20a%20Psychology%20Postdoctoral%20Resident%20with%20the%20Kaiser%20Permanente%20Mental%20Health%20Training%20Program%20in%20Northern%20California.%20He%20earned%20his%20PhD%20from%20Alliant%20International%20University%20in%20San%20Diego,%20during%20which%20he%20also%20completed%20the%20requisite%20experience%20for%20his%20Board%20Certification%20in%20Biofeedback.%20He%20explored%20research%20related%20to%20meta-analyses%20and%20then%20with%20the%20implementation%20of%20Biofeedback.%20His%20dissertation%20explored%20the%20efficacy%20of%20a%20scale%20in%20examining%20types%20of%20chronic%20pain%20and%20Central%20Sensitization.%20Dr.%20Lackey%20is%20aiming%20to%20continue%20his%20career%20in%20Health%20Psychology%20and%20examine%20the%20intersection%20of%20Psychology%20and%20Medicine%20through%20multidisciplinary%20collaboration%20and%20practice.%20%20Here%20is%20their%20previous%20article%20on%20strength%20and%20conditioning%20training%20and%20heart%20rate%20variability%20mentioned%20in%20the%20episode:%20https:/pubmed.ncbi.nlm.nih.gov/38921629/">https://pubmed.ncbi.nlm.nih.gov/38921629/</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2318674/c1e-4wnxi1po5xhm70nr-mkgw29g5f39w-6ssw8y.mp3" length="59263339"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett interviews Dr. Jennifer S. Addleman and Nicholas S. Lackey about their recent article Heart Rate Variability Applications in Medical Specialties: A Narrative Review. You can find the article here: https://link.springer.com/article/10.1007/s10484-025-09708-y. 
Dr. Jennifer S. Addleman, DO, CSCS, is a resident physician and certified strength and conditioning specialist (CSCS). She is currently completing her intern year in the Sutter Roseville Transitional Year Residency Program, followed by advanced training in Physiatry at the Stanford Physical Medicine and Rehabilitation Residency Program. Dr. Addleman is active in research involving gait analysis, wearable technology, and heart rate variability. She is passionate about exploring the applications of HRV across medicine and strength and conditioning.
Nicholas Lackey, PhD, BCB, is a Psychology Postdoctoral Resident with the Kaiser Permanente Mental Health Training Program in Northern California. He earned his PhD from Alliant International University in San Diego, during which he also completed the requisite experience for his Board Certification in Biofeedback. He explored research on meta-analyses and then on the implementation of Biofeedback. His dissertation explored the efficacy of a scale in examining types of chronic pain and Central Sensitization. Dr. Lackey aims to continue his career in Health Psychology and to examine the intersection of Psychology and Medicine through multidisciplinary collaboration and practice.
Here is their previous article on strength and conditioning training and heart rate variability mentioned in the episode: https://pubmed.ncbi.nlm.nih.gov/38921629/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2318674/c1a-rqx3-47og2554ux4j-3fe1vh.png"></itunes:image>
                                                                            <itunes:duration>00:56:35</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week in HRV  - Episode 22]]>
                </title>
                <pubDate>Tue, 27 Jan 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
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                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/twinhrv-episode-22</link>
                                <description>
                                            <![CDATA[<h1>This Week in HRV - Episode 22</h1>
<p>In this episode of "<i>This Week in HRV"</i>, Matt Bennett explores four recent studies that broaden our perspective on autonomic regulation across diverse physiological contexts. This week’s collection highlights the nuances of female reproductive physiology as captured by wearables, the specific cardiovascular mechanics of volitional sighing, the superior recovery potential of yoga practice, and the intricate neural coupling between the heart and brain during complex motor tasks. Together, these papers underscore the nervous system's adaptability to hormonal, behavioral, and cognitive demands.</p>
<h3>1. Wearable-Derived Heart Rate Variability Across the Menstrual Cycle, Hormonal Contraceptive Use, and Reproductive Life Stages in Females: A Living Systematic Review</h3>
<p><b>Authors:</b> Eline de Jager, Brian Caulfield, Evgenia Angelidi, Brian MacNamee &amp; Sinead Holden</p>
<p><b>Journal:</b> Sports MedicineShutterstock</p>
<p>This systematic review aggregates data from wearable technology to map HRV trends across the female reproductive lifespan. The authors examine how natural menstrual cycle phases, hormonal contraceptives, and different reproductive stages influence autonomic metrics. The findings emphasize the importance of context when interpreting wearable data in females, as hormonal fluctuations drive distinct shifts in autonomic balance that must be distinguished from training load or stress.</p>
<p><a href="https://link.springer.com/article/10.1007/s40279-025-02388-y" target="_blank" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s40279-025-02388-y</a></p>
<h3>2. Dissecting Cardiovascular Responses to a Fixed-Interval Volitional Sighing Protocol Using a Mixed Modeling Approach</h3>
<p><b>Authors:</b> Neel Muzumdar, Kelly Sun, Samuel Zhang, Kelsey Piersol, Anthony P. Pawlak, Marsha E. Bates &amp; Jennifer F. Buckman</p>
<p><b>Journal:</b> Psychophysiology</p>
<p>Investigating the mechanics of breathwork, this study utilized a mixed modeling approach to analyze cardiovascular responses to a specific protocol of volitional sighing. The research dissects how fixed-interval sighing alters heart rate dynamics, providing granular insight into how this specific respiratory behavior—often used for acute stress relief—modulates autonomic output and cardiovascular stability. <a href="https://onlinelibrary.wiley.com/doi/10.1111/psyp.70235" target="_blank" rel="noreferrer noopener">https://onlinelibrary.wiley.com/doi/10.1111/psyp.70235</a></p>
<h3>3. Autonomic recovery following submaximal exercise in yoga practitioners versus aerobic and strength-trained individuals</h3>
<p><b>Authors:</b> Sreenath N., Pallavi L. C., Baskaran Chandrasekaran, Lavya Shetty, Lavina M. Manu &amp; Shivaprakash Gangachannaiah</p>
<p><b>Journal:</b> Annals of Physical and Rehabilitation Medicine</p>
<p>This comparative study assessed autonomic recovery speeds following submaximal exercise across three distinct groups: yoga practitioners, aerobic athletes, and strength-trained individuals. The results suggest that long-term yoga practice may confer a unique advantage in parasympathetic reactivation and in the speed of autonomic recovery post-exertion compared to traditional aerobic or resistance training backgrounds. <a href="https://www.tandfonline.com/doi/full/10.1080/07853890.2026.2615509" target="_blank" rel="noreferrer noopener">https://www.tandfonline.com/doi/full/10.1080/07853890.2026.2615509</a></p>
<h3>4. The interplay between cardiac and brain activities within a balancing skill-challenge context during goal-directed motor control</h3>
<p><b>Authors:</b> Heng Gu, Qunli Yao, Chao Yang, Zhaohuan Ding, Xiaoli Li &amp; He Chen</p>
<p><b>Journal:</b> Cerebral CortexGetty Images</p>
<p>Focusing on the brain-heart axis, this study explores the synchronization between cardiac rhythms and cortical activity during goal-directed motor control tasks requiring balance. The researchers id...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This Week in HRV - Episode 22
In this episode of "This Week in HRV", Matt Bennett explores four recent studies that broaden our perspective on autonomic regulation across diverse physiological contexts. This week’s collection highlights the nuances of female reproductive physiology as captured by wearables, the specific cardiovascular mechanics of volitional sighing, the superior recovery potential of yoga practice, and the intricate neural coupling between the heart and brain during complex motor tasks. Together, these papers underscore the nervous system's adaptability to hormonal, behavioral, and cognitive demands.
1. Wearable-Derived Heart Rate Variability Across the Menstrual Cycle, Hormonal Contraceptive Use, and Reproductive Life Stages in Females: A Living Systematic Review
Authors: Eline de Jager, Brian Caulfield, Evgenia Angelidi, Brian MacNamee & Sinead Holden
Journal: Sports MedicineShutterstock
This systematic review aggregates data from wearable technology to map HRV trends across the female reproductive lifespan. The authors examine how natural menstrual cycle phases, hormonal contraceptives, and different reproductive stages influence autonomic metrics. The findings emphasize the importance of context when interpreting wearable data in females, as hormonal fluctuations drive distinct shifts in autonomic balance that must be distinguished from training load or stress.
https://link.springer.com/article/10.1007/s40279-025-02388-y
2. Dissecting Cardiovascular Responses to a Fixed-Interval Volitional Sighing Protocol Using a Mixed Modeling Approach
Authors: Neel Muzumdar, Kelly Sun, Samuel Zhang, Kelsey Piersol, Anthony P. Pawlak, Marsha E. Bates & Jennifer F. Buckman
Journal: Psychophysiology
Investigating the mechanics of breathwork, this study utilized a mixed modeling approach to analyze cardiovascular responses to a specific protocol of volitional sighing. The research dissects how fixed-interval sighing alters heart rate dynamics, providing granular insight into how this specific respiratory behavior—often used for acute stress relief—modulates autonomic output and cardiovascular stability. https://onlinelibrary.wiley.com/doi/10.1111/psyp.70235
3. Autonomic recovery following submaximal exercise in yoga practitioners versus aerobic and strength-trained individuals
Authors: Sreenath N., Pallavi L. C., Baskaran Chandrasekaran, Lavya Shetty, Lavina M. Manu & Shivaprakash Gangachannaiah
Journal: Annals of Physical and Rehabilitation Medicine
This comparative study assessed autonomic recovery speeds following submaximal exercise across three distinct groups: yoga practitioners, aerobic athletes, and strength-trained individuals. The results suggest that long-term yoga practice may confer a unique advantage in parasympathetic reactivation and in the speed of autonomic recovery post-exertion compared to traditional aerobic or resistance training backgrounds. https://www.tandfonline.com/doi/full/10.1080/07853890.2026.2615509
4. The interplay between cardiac and brain activities within a balancing skill-challenge context during goal-directed motor control
Authors: Heng Gu, Qunli Yao, Chao Yang, Zhaohuan Ding, Xiaoli Li & He Chen
Journal: Cerebral CortexGetty Images
Focusing on the brain-heart axis, this study explores the synchronization between cardiac rhythms and cortical activity during goal-directed motor control tasks requiring balance. The researchers id...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week in HRV  - Episode 22]]>
                </itunes:title>
                                    <itunes:episode>22</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h1>This Week in HRV - Episode 22</h1>
<p>In this episode of "<i>This Week in HRV"</i>, Matt Bennett explores four recent studies that broaden our perspective on autonomic regulation across diverse physiological contexts. This week’s collection highlights the nuances of female reproductive physiology as captured by wearables, the specific cardiovascular mechanics of volitional sighing, the superior recovery potential of yoga practice, and the intricate neural coupling between the heart and brain during complex motor tasks. Together, these papers underscore the nervous system's adaptability to hormonal, behavioral, and cognitive demands.</p>
<h3>1. Wearable-Derived Heart Rate Variability Across the Menstrual Cycle, Hormonal Contraceptive Use, and Reproductive Life Stages in Females: A Living Systematic Review</h3>
<p><b>Authors:</b> Eline de Jager, Brian Caulfield, Evgenia Angelidi, Brian MacNamee &amp; Sinead Holden</p>
<p><b>Journal:</b> Sports MedicineShutterstock</p>
<p>This systematic review aggregates data from wearable technology to map HRV trends across the female reproductive lifespan. The authors examine how natural menstrual cycle phases, hormonal contraceptives, and different reproductive stages influence autonomic metrics. The findings emphasize the importance of context when interpreting wearable data in females, as hormonal fluctuations drive distinct shifts in autonomic balance that must be distinguished from training load or stress.</p>
<p><a href="https://link.springer.com/article/10.1007/s40279-025-02388-y" target="_blank" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s40279-025-02388-y</a></p>
<h3>2. Dissecting Cardiovascular Responses to a Fixed-Interval Volitional Sighing Protocol Using a Mixed Modeling Approach</h3>
<p><b>Authors:</b> Neel Muzumdar, Kelly Sun, Samuel Zhang, Kelsey Piersol, Anthony P. Pawlak, Marsha E. Bates &amp; Jennifer F. Buckman</p>
<p><b>Journal:</b> Psychophysiology</p>
<p>Investigating the mechanics of breathwork, this study utilized a mixed modeling approach to analyze cardiovascular responses to a specific protocol of volitional sighing. The research dissects how fixed-interval sighing alters heart rate dynamics, providing granular insight into how this specific respiratory behavior—often used for acute stress relief—modulates autonomic output and cardiovascular stability. <a href="https://onlinelibrary.wiley.com/doi/10.1111/psyp.70235" target="_blank" rel="noreferrer noopener">https://onlinelibrary.wiley.com/doi/10.1111/psyp.70235</a></p>
<h3>3. Autonomic recovery following submaximal exercise in yoga practitioners versus aerobic and strength-trained individuals</h3>
<p><b>Authors:</b> Sreenath N., Pallavi L. C., Baskaran Chandrasekaran, Lavya Shetty, Lavina M. Manu &amp; Shivaprakash Gangachannaiah</p>
<p><b>Journal:</b> Annals of Physical and Rehabilitation Medicine</p>
<p>This comparative study assessed autonomic recovery speeds following submaximal exercise across three distinct groups: yoga practitioners, aerobic athletes, and strength-trained individuals. The results suggest that long-term yoga practice may confer a unique advantage in parasympathetic reactivation and in the speed of autonomic recovery post-exertion compared to traditional aerobic or resistance training backgrounds. <a href="https://www.tandfonline.com/doi/full/10.1080/07853890.2026.2615509" target="_blank" rel="noreferrer noopener">https://www.tandfonline.com/doi/full/10.1080/07853890.2026.2615509</a></p>
<h3>4. The interplay between cardiac and brain activities within a balancing skill-challenge context during goal-directed motor control</h3>
<p><b>Authors:</b> Heng Gu, Qunli Yao, Chao Yang, Zhaohuan Ding, Xiaoli Li &amp; He Chen</p>
<p><b>Journal:</b> Cerebral CortexGetty Images</p>
<p>Focusing on the brain-heart axis, this study explores the synchronization between cardiac rhythms and cortical activity during goal-directed motor control tasks requiring balance. The researchers identified a significant interplay between neural processing and heart rate variability, illustrating how the autonomic and central nervous systems couple to manage the cognitive and physical demands of complex motor skills. <a href="https://academic.oup.com/cercor/article-abstract/36/1/bhaf348/8430124" target="_blank" rel="noreferrer noopener">https://academic.oup.com/cercor/article-abstract/36/1/bhaf348/8430124</a></p>
<h3>Sponsor</h3>
<p>This episode of <i>This Week in HRV</i> is sponsored by <b>Optimal HRV</b>, supporting clinicians, educators, and organizations with evidence-based tools for nervous system regulation, HRV monitoring, and biofeedback-informed care.</p>
<h3>Medical Disclaimer</h3>
<p>This podcast is for educational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional regarding diagnosis or treatment decisions.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This Week in HRV - Episode 22
In this episode of "This Week in HRV", Matt Bennett explores four recent studies that broaden our perspective on autonomic regulation across diverse physiological contexts. This week’s collection highlights the nuances of female reproductive physiology as captured by wearables, the specific cardiovascular mechanics of volitional sighing, the superior recovery potential of yoga practice, and the intricate neural coupling between the heart and brain during complex motor tasks. Together, these papers underscore the nervous system's adaptability to hormonal, behavioral, and cognitive demands.
1. Wearable-Derived Heart Rate Variability Across the Menstrual Cycle, Hormonal Contraceptive Use, and Reproductive Life Stages in Females: A Living Systematic Review
Authors: Eline de Jager, Brian Caulfield, Evgenia Angelidi, Brian MacNamee & Sinead Holden
Journal: Sports MedicineShutterstock
This systematic review aggregates data from wearable technology to map HRV trends across the female reproductive lifespan. The authors examine how natural menstrual cycle phases, hormonal contraceptives, and different reproductive stages influence autonomic metrics. The findings emphasize the importance of context when interpreting wearable data in females, as hormonal fluctuations drive distinct shifts in autonomic balance that must be distinguished from training load or stress.
https://link.springer.com/article/10.1007/s40279-025-02388-y
2. Dissecting Cardiovascular Responses to a Fixed-Interval Volitional Sighing Protocol Using a Mixed Modeling Approach
Authors: Neel Muzumdar, Kelly Sun, Samuel Zhang, Kelsey Piersol, Anthony P. Pawlak, Marsha E. Bates & Jennifer F. Buckman
Journal: Psychophysiology
Investigating the mechanics of breathwork, this study utilized a mixed modeling approach to analyze cardiovascular responses to a specific protocol of volitional sighing. The research dissects how fixed-interval sighing alters heart rate dynamics, providing granular insight into how this specific respiratory behavior—often used for acute stress relief—modulates autonomic output and cardiovascular stability. https://onlinelibrary.wiley.com/doi/10.1111/psyp.70235
3. Autonomic recovery following submaximal exercise in yoga practitioners versus aerobic and strength-trained individuals
Authors: Sreenath N., Pallavi L. C., Baskaran Chandrasekaran, Lavya Shetty, Lavina M. Manu & Shivaprakash Gangachannaiah
Journal: Annals of Physical and Rehabilitation Medicine
This comparative study assessed autonomic recovery speeds following submaximal exercise across three distinct groups: yoga practitioners, aerobic athletes, and strength-trained individuals. The results suggest that long-term yoga practice may confer a unique advantage in parasympathetic reactivation and in the speed of autonomic recovery post-exertion compared to traditional aerobic or resistance training backgrounds. https://www.tandfonline.com/doi/full/10.1080/07853890.2026.2615509
4. The interplay between cardiac and brain activities within a balancing skill-challenge context during goal-directed motor control
Authors: Heng Gu, Qunli Yao, Chao Yang, Zhaohuan Ding, Xiaoli Li & He Chen
Journal: Cerebral CortexGetty Images
Focusing on the brain-heart axis, this study explores the synchronization between cardiac rhythms and cortical activity during goal-directed motor control tasks requiring balance. The researchers id...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:27:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 21]]>
                </title>
                <pubDate>Tue, 20 Jan 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2327065</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-21</link>
                                <description>
                                            <![CDATA[<h2><strong>This Week in HRV - Episode 21</strong></h2>
<p>In this episode of <em>This Week in HRV</em>, Matt Bennett explores five recent studies that deepen our understanding of heart rate variability as a marker of autonomic regulation across endocrine health, sleep physiology, theoretical neuroscience, extreme environmental exposure, and performance nutrition. Together, these studies illustrate how HRV reflects the nervous system’s capacity to integrate hormonal, behavioral, environmental, and recovery-related demands.</p>
<h3><strong>1. Comparative Analysis of Heart Rate Variability in Women with and Without Polycystic Ovary Syndrome (PCOS)</strong></h3>
<p><strong>Authors:</strong> Sivaranjani; Prabhavathi; Keerthi; Bhavisha Sreenivasan; Thamarai Selvi; Saravanan; Panneerselvam<br /> <strong>Journal:</strong> <em>Journal of Pharmacy and Bioallied Sciences</em></p>
<p>This study examined resting heart rate variability in women with and without PCOS. Women with PCOS showed reduced HRV, reflecting diminished parasympathetic modulation and altered autonomic balance. The findings suggest that autonomic dysregulation may be present early in PCOS, even before overt cardiovascular disease develops.</p>
<p><a href="https://journals.lww.com/jpbs/fulltext/2025/10000/comparative_analysis_of_heart_rate_variability_in.9.aspx">https://journals.lww.com/jpbs/fulltext/2025/10000/comparative_analysis_of_heart_rate_variability_in.9.aspx</a></p>
<h3><strong>2. Autonomic Characteristics of Periodic Limb Movements: Comparison of Whole-Night and Stage N2 Linear and Non-Linear Heart Rate Variability</strong></h3>
<p><strong>Authors:</strong> Elif Simin; Selahattin; Elif Göksu<br /> <strong>Journal:</strong> <em>Clinical Autonomic Research</em></p>
<p>Using overnight polysomnography, this study analyzed how periodic limb movements during sleep affect autonomic regulation. HRV analysis revealed transient sympathetic activation during limb movement events and reduced autonomic complexity across the night.</p>
<p><a href="https://link.springer.com/article/10.1007/s10286-025-01184-y?utm_source=chatgpt.com">https://link.springer.com/article/10.1007/s10286-025-01184-y</a></p>
<h3><strong>3. Biofeedback from the Free Energy Principle Perspective: Some Psychoeducational and Clinical Implications</strong></h3>
<p><strong>Author:</strong> Yossi<br /> <strong>Journal:</strong> <em>Biofeedback</em></p>
<p>This theoretical paper applies the Free Energy Principle to biofeedback practice, framing HRV biofeedback as a process of reducing physiological uncertainty and improving adaptive regulation.</p>
<p><a href="https://biofeedback.kglmeridian.com/view/journals/biof/53/3/article-p47.xml?utm_source=chatgpt.com">https://biofeedback.kglmeridian.com/view/journals/biof/53/3/article-p47.xml</a></p>
<h3><strong>4. Autonomic Regulation across Sleep and Wake during an Antarctic Overwintering</strong></h3>
<p><strong>Authors:</strong> C. Tortello; A. Folgueira; B. Cauda; L. E. González; E. Sala Lozano; N. Pattyn; G. Simonelli; S. A. Plano; D. E. Vigo<br /> <strong>Journal:</strong> <em>Scientific Reports</em></p>
<p>This study tracked heart rate variability across months in individuals overwintering in Antarctica, showing reduced parasympathetic activity, weakened circadian organization, and diminished sleep–wake autonomic differentiation during prolonged isolation.</p>
<p><a href="https://www.nature.com/articles/s41598-025-31009-x?utm_source=chatgpt.com">https://www.nature.com/articles/s41598-025-31009-x</a></p>
<h3><strong>5. The Effects of an Acute Dose of Cannabidiol on Health and Two-Mile Time Trial Performance—A Pilot Study</strong></h3>
<p><strong>Authors:</strong> Elyssa R., Brandon, Seth M., and Laura K.<br /> <strong>Journal:</strong> <em>Nutrients</em></p>
<p>This pilot study examined the effects of an acute cannabidiol dose on endurance performance and physiological markers. While performance did not improve, changes in autonomic recovery markers suggest CBD...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This Week in HRV - Episode 21
In this episode of This Week in HRV, Matt Bennett explores five recent studies that deepen our understanding of heart rate variability as a marker of autonomic regulation across endocrine health, sleep physiology, theoretical neuroscience, extreme environmental exposure, and performance nutrition. Together, these studies illustrate how HRV reflects the nervous system’s capacity to integrate hormonal, behavioral, environmental, and recovery-related demands.
1. Comparative Analysis of Heart Rate Variability in Women with and Without Polycystic Ovary Syndrome (PCOS)
Authors: Sivaranjani; Prabhavathi; Keerthi; Bhavisha Sreenivasan; Thamarai Selvi; Saravanan; Panneerselvam Journal: Journal of Pharmacy and Bioallied Sciences
This study examined resting heart rate variability in women with and without PCOS. Women with PCOS showed reduced HRV, reflecting diminished parasympathetic modulation and altered autonomic balance. The findings suggest that autonomic dysregulation may be present early in PCOS, even before overt cardiovascular disease develops.
https://journals.lww.com/jpbs/fulltext/2025/10000/comparative_analysis_of_heart_rate_variability_in.9.aspx
2. Autonomic Characteristics of Periodic Limb Movements: Comparison of Whole-Night and Stage N2 Linear and Non-Linear Heart Rate Variability
Authors: Elif Simin; Selahattin; Elif Göksu Journal: Clinical Autonomic Research
Using overnight polysomnography, this study analyzed how periodic limb movements during sleep affect autonomic regulation. HRV analysis revealed transient sympathetic activation during limb movement events and reduced autonomic complexity across the night.
https://link.springer.com/article/10.1007/s10286-025-01184-y
3. Biofeedback from the Free Energy Principle Perspective: Some Psychoeducational and Clinical Implications
Author: Yossi Journal: Biofeedback
This theoretical paper applies the Free Energy Principle to biofeedback practice, framing HRV biofeedback as a process of reducing physiological uncertainty and improving adaptive regulation.
https://biofeedback.kglmeridian.com/view/journals/biof/53/3/article-p47.xml
4. Autonomic Regulation across Sleep and Wake during an Antarctic Overwintering
Authors: C. Tortello; A. Folgueira; B. Cauda; L. E. González; E. Sala Lozano; N. Pattyn; G. Simonelli; S. A. Plano; D. E. Vigo Journal: Scientific Reports
This study tracked heart rate variability across months in individuals overwintering in Antarctica, showing reduced parasympathetic activity, weakened circadian organization, and diminished sleep–wake autonomic differentiation during prolonged isolation.
https://www.nature.com/articles/s41598-025-31009-x
5. The Effects of an Acute Dose of Cannabidiol on Health and Two-Mile Time Trial Performance—A Pilot Study
Authors: Elyssa R., Brandon, Seth M., and Laura K. Journal: Nutrients
This pilot study examined the effects of an acute cannabidiol dose on endurance performance and physiological markers. While performance did not improve, changes in autonomic recovery markers suggest CBD...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 21]]>
                </itunes:title>
                                    <itunes:episode>21</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h2><strong>This Week in HRV - Episode 21</strong></h2>
<p>In this episode of <em>This Week in HRV</em>, Matt Bennett explores five recent studies that deepen our understanding of heart rate variability as a marker of autonomic regulation across endocrine health, sleep physiology, theoretical neuroscience, extreme environmental exposure, and performance nutrition. Together, these studies illustrate how HRV reflects the nervous system’s capacity to integrate hormonal, behavioral, environmental, and recovery-related demands.</p>
<h3><strong>1. Comparative Analysis of Heart Rate Variability in Women with and Without Polycystic Ovary Syndrome (PCOS)</strong></h3>
<p><strong>Authors:</strong> Sivaranjani; Prabhavathi; Keerthi; Bhavisha Sreenivasan; Thamarai Selvi; Saravanan; Panneerselvam<br /> <strong>Journal:</strong> <em>Journal of Pharmacy and Bioallied Sciences</em></p>
<p>This study examined resting heart rate variability in women with and without PCOS. Women with PCOS showed reduced HRV, reflecting diminished parasympathetic modulation and altered autonomic balance. The findings suggest that autonomic dysregulation may be present early in PCOS, even before overt cardiovascular disease develops.</p>
<p><a href="https://journals.lww.com/jpbs/fulltext/2025/10000/comparative_analysis_of_heart_rate_variability_in.9.aspx">https://journals.lww.com/jpbs/fulltext/2025/10000/comparative_analysis_of_heart_rate_variability_in.9.aspx</a></p>
<h3><strong>2. Autonomic Characteristics of Periodic Limb Movements: Comparison of Whole-Night and Stage N2 Linear and Non-Linear Heart Rate Variability</strong></h3>
<p><strong>Authors:</strong> Elif Simin; Selahattin; Elif Göksu<br /> <strong>Journal:</strong> <em>Clinical Autonomic Research</em></p>
<p>Using overnight polysomnography, this study analyzed how periodic limb movements during sleep affect autonomic regulation. HRV analysis revealed transient sympathetic activation during limb movement events and reduced autonomic complexity across the night.</p>
<p><a href="https://link.springer.com/article/10.1007/s10286-025-01184-y?utm_source=chatgpt.com">https://link.springer.com/article/10.1007/s10286-025-01184-y</a></p>
<h3><strong>3. Biofeedback from the Free Energy Principle Perspective: Some Psychoeducational and Clinical Implications</strong></h3>
<p><strong>Author:</strong> Yossi<br /> <strong>Journal:</strong> <em>Biofeedback</em></p>
<p>This theoretical paper applies the Free Energy Principle to biofeedback practice, framing HRV biofeedback as a process of reducing physiological uncertainty and improving adaptive regulation.</p>
<p><a href="https://biofeedback.kglmeridian.com/view/journals/biof/53/3/article-p47.xml?utm_source=chatgpt.com">https://biofeedback.kglmeridian.com/view/journals/biof/53/3/article-p47.xml</a></p>
<h3><strong>4. Autonomic Regulation across Sleep and Wake during an Antarctic Overwintering</strong></h3>
<p><strong>Authors:</strong> C. Tortello; A. Folgueira; B. Cauda; L. E. González; E. Sala Lozano; N. Pattyn; G. Simonelli; S. A. Plano; D. E. Vigo<br /> <strong>Journal:</strong> <em>Scientific Reports</em></p>
<p>This study tracked heart rate variability across months in individuals overwintering in Antarctica, showing reduced parasympathetic activity, weakened circadian organization, and diminished sleep–wake autonomic differentiation during prolonged isolation.</p>
<p><a href="https://www.nature.com/articles/s41598-025-31009-x?utm_source=chatgpt.com">https://www.nature.com/articles/s41598-025-31009-x</a></p>
<h3><strong>5. The Effects of an Acute Dose of Cannabidiol on Health and Two-Mile Time Trial Performance—A Pilot Study</strong></h3>
<p><strong>Authors:</strong> Elyssa R., Brandon, Seth M., and Laura K.<br /> <strong>Journal:</strong> <em>Nutrients</em></p>
<p>This pilot study examined the effects of an acute cannabidiol dose on endurance performance and physiological markers. While performance did not improve, changes in autonomic recovery markers suggest CBD may influence post-exercise regulation.</p>
<p><a href="https://www.mdpi.com/2072-6643/18/1/29?utm_source=chatgpt.com">https://www.mdpi.com/2072-6643/18/1/29</a></p>
<h3><strong>Sponsor</strong></h3>
<p>This episode of <em>This Week in HRV</em> is sponsored by <strong>Optimal HRV</strong>, supporting clinicians, educators, and organizations with evidence-based tools for nervous system regulation, HRV monitoring, and biofeedback-informed care.</p>
<h3><strong>Medical Disclaimer</strong></h3>
<p>This podcast is for educational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional regarding diagnosis or treatment decisions.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This Week in HRV - Episode 21
In this episode of This Week in HRV, Matt Bennett explores five recent studies that deepen our understanding of heart rate variability as a marker of autonomic regulation across endocrine health, sleep physiology, theoretical neuroscience, extreme environmental exposure, and performance nutrition. Together, these studies illustrate how HRV reflects the nervous system’s capacity to integrate hormonal, behavioral, environmental, and recovery-related demands.
1. Comparative Analysis of Heart Rate Variability in Women with and Without Polycystic Ovary Syndrome (PCOS)
Authors: Sivaranjani; Prabhavathi; Keerthi; Bhavisha Sreenivasan; Thamarai Selvi; Saravanan; Panneerselvam Journal: Journal of Pharmacy and Bioallied Sciences
This study examined resting heart rate variability in women with and without PCOS. Women with PCOS showed reduced HRV, reflecting diminished parasympathetic modulation and altered autonomic balance. The findings suggest that autonomic dysregulation may be present early in PCOS, even before overt cardiovascular disease develops.
https://journals.lww.com/jpbs/fulltext/2025/10000/comparative_analysis_of_heart_rate_variability_in.9.aspx
2. Autonomic Characteristics of Periodic Limb Movements: Comparison of Whole-Night and Stage N2 Linear and Non-Linear Heart Rate Variability
Authors: Elif Simin; Selahattin; Elif Göksu Journal: Clinical Autonomic Research
Using overnight polysomnography, this study analyzed how periodic limb movements during sleep affect autonomic regulation. HRV analysis revealed transient sympathetic activation during limb movement events and reduced autonomic complexity across the night.
https://link.springer.com/article/10.1007/s10286-025-01184-y
3. Biofeedback from the Free Energy Principle Perspective: Some Psychoeducational and Clinical Implications
Author: Yossi Journal: Biofeedback
This theoretical paper applies the Free Energy Principle to biofeedback practice, framing HRV biofeedback as a process of reducing physiological uncertainty and improving adaptive regulation.
https://biofeedback.kglmeridian.com/view/journals/biof/53/3/article-p47.xml
4. Autonomic Regulation across Sleep and Wake during an Antarctic Overwintering
Authors: C. Tortello; A. Folgueira; B. Cauda; L. E. González; E. Sala Lozano; N. Pattyn; G. Simonelli; S. A. Plano; D. E. Vigo Journal: Scientific Reports
This study tracked heart rate variability across months in individuals overwintering in Antarctica, showing reduced parasympathetic activity, weakened circadian organization, and diminished sleep–wake autonomic differentiation during prolonged isolation.
https://www.nature.com/articles/s41598-025-31009-x
5. The Effects of an Acute Dose of Cannabidiol on Health and Two-Mile Time Trial Performance—A Pilot Study
Authors: Elyssa R., Brandon, Seth M., and Laura K. Journal: Nutrients
This pilot study examined the effects of an acute cannabidiol dose on endurance performance and physiological markers. While performance did not improve, changes in autonomic recovery markers suggest CBD...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:15:05</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 20]]>
                </title>
                <pubDate>Tue, 13 Jan 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2319897</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-20</link>
                                <description>
                                            <![CDATA[<h2><strong>This Week in HRV </strong></h2>
<p>In this episode of <em>This Week in HRV</em>, Matt Bennett explores five recent studies that deepen our understanding of heart rate variability across time, technology, cardiovascular health, brain aging, and addiction recovery. Together, these papers highlight both the strengths and limitations of HRV as a window into nervous system regulation.</p>
<h3><strong>1. Unveiling the Extremely Low Frequency Component of Heart Rate Variability</strong></h3>
<p><strong>Authors:</strong> Krzysztof, Adam G.<br /> <strong>Journal:</strong> <em>Applied Sciences</em></p>
<p>This study demonstrates that ultra-low-frequency HRV is not a single physiological process, but can be decomposed into two independent components reflecting circadian and ultradian rhythms. The findings expand our understanding of long-term autonomic regulation and biological timing.</p>
<p><a href="https://www.mdpi.com/2076-3417/16/1/426?utm_source=chatgpt.com">https://www.mdpi.com/2076-3417/16/1/426</a></p>
<h3><strong>2. Limited Evidence for Heart Rate Variability as a Predictor of Cognitive and Pathophysiological Brain Markers</strong></h3>
<p><strong>Authors:</strong> Sofia, Jaime D., Arie, Balewgizie, Harriëtte, Rozemarijn, Rudi, Ronald, Peter Paul<br /> <strong>Journal:</strong> <em>Journal of Alzheimer’s Disease</em></p>
<p>Using a long-term longitudinal design, this study examined whether midlife HRV predicts later cognitive performance, brain imaging findings, or Alzheimer’s biomarkers. Results suggest HRV alone is not a reliable early predictor of neurodegenerative pathology.</p>
<p><a href="https://journals.sagepub.com/doi/10.1177/13872877251409343">https://journals.sagepub.com/doi/10.1177/13872877251409343</a></p>
<h3><strong>3. Beyond Motion Artifacts: Optimizing PPG Preprocessing for Accurate Pulse Rate Variability Estimation</strong></h3>
<p><strong>Authors:</strong> Yuna, Natasha, Aarti, Varun, Matthew S.<br /> <strong>Conference Proceedings:</strong> <em>ACM (UbiComp)</em></p>
<p>This engineering study shows that preprocessing choices—particularly band-pass filtering—strongly influence the accuracy of pulse-rate variability derived from wearable PPG sensors. The authors demonstrate that adaptive preprocessing significantly improves HRV estimation accuracy.</p>
<p><a href="https://dl.acm.org/doi/epdf/10.1145/3714394.3756241">https://dl.acm.org/doi/epdf/10.1145/3714394.3756241</a></p>
<h3><strong>4. Association of Diurnal Blood Pressure Patterns with Heart Rate Variability and Retinopathy in Patients with Essential Hypertension</strong></h3>
<p><strong>Authors:</strong> Fengping, Hui, Tianfeng, Chen<br /> <strong>Journal:</strong> <em>Scientific Reports</em></p>
<p>This clinical study links abnormal nighttime blood pressure patterns with reduced HRV and a markedly higher prevalence of hypertensive retinopathy. The findings highlight the relationship between circadian autonomic regulation and microvascular health.</p>
<p><a href="https://www.nature.com/articles/s41598-025-29694-9?utm_source=chatgpt.com">https://www.nature.com/articles/s41598-025-29694-9</a></p>
<h3><strong>5. Yoga for Opioid Withdrawal and Autonomic Regulation: A Randomized Clinical Trial</strong></h3>
<p><strong>Authors:</strong> Suddala, Hemant, Bharath, Jayant, Ravindra P., Nishitha, Venkata Lakshmi, Urvakhsh Meherwan, Shivarama, Ganesan, Prabhat, Bangalore Nanjundiah, Kevin P., Matcheri, Pratima<br /> <strong>Journal:</strong> <em>JAMA Psychiatry</em></p>
<p>This randomized clinical trial shows that adding yoga to standard opioid detoxification significantly accelerates withdrawal recovery, improves HRV, reduces anxiety, improves sleep, and decreases pain—demonstrating the role of autonomic regulation in addiction recovery.</p>
<p><a href="https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2843424?utm_source=chatgpt.com">https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2843424</a></p>
<h3><strong>Sponsor</strong></h3>...]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This Week in HRV 
In this episode of This Week in HRV, Matt Bennett explores five recent studies that deepen our understanding of heart rate variability across time, technology, cardiovascular health, brain aging, and addiction recovery. Together, these papers highlight both the strengths and limitations of HRV as a window into nervous system regulation.
1. Unveiling the Extremely Low Frequency Component of Heart Rate Variability
Authors: Krzysztof, Adam G. Journal: Applied Sciences
This study demonstrates that ultra-low-frequency HRV is not a single physiological process, but can be decomposed into two independent components reflecting circadian and ultradian rhythms. The findings expand our understanding of long-term autonomic regulation and biological timing.
https://www.mdpi.com/2076-3417/16/1/426
2. Limited Evidence for Heart Rate Variability as a Predictor of Cognitive and Pathophysiological Brain Markers
Authors: Sofia, Jaime D., Arie, Balewgizie, Harriëtte, Rozemarijn, Rudi, Ronald, Peter Paul Journal: Journal of Alzheimer’s Disease
Using a long-term longitudinal design, this study examined whether midlife HRV predicts later cognitive performance, brain imaging findings, or Alzheimer’s biomarkers. Results suggest HRV alone is not a reliable early predictor of neurodegenerative pathology.
https://journals.sagepub.com/doi/10.1177/13872877251409343
3. Beyond Motion Artifacts: Optimizing PPG Preprocessing for Accurate Pulse Rate Variability Estimation
Authors: Yuna, Natasha, Aarti, Varun, Matthew S. Conference Proceedings: ACM (UbiComp)
This engineering study shows that preprocessing choices—particularly band-pass filtering—strongly influence the accuracy of pulse-rate variability derived from wearable PPG sensors. The authors demonstrate that adaptive preprocessing significantly improves HRV estimation accuracy.
https://dl.acm.org/doi/epdf/10.1145/3714394.3756241
4. Association of Diurnal Blood Pressure Patterns with Heart Rate Variability and Retinopathy in Patients with Essential Hypertension
Authors: Fengping, Hui, Tianfeng, Chen Journal: Scientific Reports
This clinical study links abnormal nighttime blood pressure patterns with reduced HRV and a markedly higher prevalence of hypertensive retinopathy. The findings highlight the relationship between circadian autonomic regulation and microvascular health.
https://www.nature.com/articles/s41598-025-29694-9
5. Yoga for Opioid Withdrawal and Autonomic Regulation: A Randomized Clinical Trial
Authors: Suddala, Hemant, Bharath, Jayant, Ravindra P., Nishitha, Venkata Lakshmi, Urvakhsh Meherwan, Shivarama, Ganesan, Prabhat, Bangalore Nanjundiah, Kevin P., Matcheri, Pratima Journal: JAMA Psychiatry
This randomized clinical trial shows that adding yoga to standard opioid detoxification significantly accelerates withdrawal recovery, improves HRV, reduces anxiety, improves sleep, and decreases pain—demonstrating the role of autonomic regulation in addiction recovery.
https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2843424
Sponsor...]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 20]]>
                </itunes:title>
                                    <itunes:episode>20</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h2><strong>This Week in HRV </strong></h2>
<p>In this episode of <em>This Week in HRV</em>, Matt Bennett explores five recent studies that deepen our understanding of heart rate variability across time, technology, cardiovascular health, brain aging, and addiction recovery. Together, these papers highlight both the strengths and limitations of HRV as a window into nervous system regulation.</p>
<h3><strong>1. Unveiling the Extremely Low Frequency Component of Heart Rate Variability</strong></h3>
<p><strong>Authors:</strong> Krzysztof, Adam G.<br /> <strong>Journal:</strong> <em>Applied Sciences</em></p>
<p>This study demonstrates that ultra-low-frequency HRV is not a single physiological process, but can be decomposed into two independent components reflecting circadian and ultradian rhythms. The findings expand our understanding of long-term autonomic regulation and biological timing.</p>
<p><a href="https://www.mdpi.com/2076-3417/16/1/426?utm_source=chatgpt.com">https://www.mdpi.com/2076-3417/16/1/426</a></p>
<h3><strong>2. Limited Evidence for Heart Rate Variability as a Predictor of Cognitive and Pathophysiological Brain Markers</strong></h3>
<p><strong>Authors:</strong> Sofia, Jaime D., Arie, Balewgizie, Harriëtte, Rozemarijn, Rudi, Ronald, Peter Paul<br /> <strong>Journal:</strong> <em>Journal of Alzheimer’s Disease</em></p>
<p>Using a long-term longitudinal design, this study examined whether midlife HRV predicts later cognitive performance, brain imaging findings, or Alzheimer’s biomarkers. Results suggest HRV alone is not a reliable early predictor of neurodegenerative pathology.</p>
<p><a href="https://journals.sagepub.com/doi/10.1177/13872877251409343">https://journals.sagepub.com/doi/10.1177/13872877251409343</a></p>
<h3><strong>3. Beyond Motion Artifacts: Optimizing PPG Preprocessing for Accurate Pulse Rate Variability Estimation</strong></h3>
<p><strong>Authors:</strong> Yuna, Natasha, Aarti, Varun, Matthew S.<br /> <strong>Conference Proceedings:</strong> <em>ACM (UbiComp)</em></p>
<p>This engineering study shows that preprocessing choices—particularly band-pass filtering—strongly influence the accuracy of pulse-rate variability derived from wearable PPG sensors. The authors demonstrate that adaptive preprocessing significantly improves HRV estimation accuracy.</p>
<p><a href="https://dl.acm.org/doi/epdf/10.1145/3714394.3756241">https://dl.acm.org/doi/epdf/10.1145/3714394.3756241</a></p>
<h3><strong>4. Association of Diurnal Blood Pressure Patterns with Heart Rate Variability and Retinopathy in Patients with Essential Hypertension</strong></h3>
<p><strong>Authors:</strong> Fengping, Hui, Tianfeng, Chen<br /> <strong>Journal:</strong> <em>Scientific Reports</em></p>
<p>This clinical study links abnormal nighttime blood pressure patterns with reduced HRV and a markedly higher prevalence of hypertensive retinopathy. The findings highlight the relationship between circadian autonomic regulation and microvascular health.</p>
<p><a href="https://www.nature.com/articles/s41598-025-29694-9?utm_source=chatgpt.com">https://www.nature.com/articles/s41598-025-29694-9</a></p>
<h3><strong>5. Yoga for Opioid Withdrawal and Autonomic Regulation: A Randomized Clinical Trial</strong></h3>
<p><strong>Authors:</strong> Suddala, Hemant, Bharath, Jayant, Ravindra P., Nishitha, Venkata Lakshmi, Urvakhsh Meherwan, Shivarama, Ganesan, Prabhat, Bangalore Nanjundiah, Kevin P., Matcheri, Pratima<br /> <strong>Journal:</strong> <em>JAMA Psychiatry</em></p>
<p>This randomized clinical trial shows that adding yoga to standard opioid detoxification significantly accelerates withdrawal recovery, improves HRV, reduces anxiety, improves sleep, and decreases pain—demonstrating the role of autonomic regulation in addiction recovery.</p>
<p><a href="https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2843424?utm_source=chatgpt.com">https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2843424</a></p>
<h3><strong>Sponsor</strong></h3>
<p>This episode of <em>This Week in HRV</em> is sponsored by <strong>Optimal HRV</strong>, supporting clinicians and organizations with evidence-based tools for nervous system regulation, HRV monitoring, and biofeedback-informed care.</p>
<h3><strong>Medical Disclaimer</strong></h3>
<p>This podcast is for educational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional regarding diagnosis or treatment decisions.</p>]]>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This Week in HRV 
In this episode of This Week in HRV, Matt Bennett explores five recent studies that deepen our understanding of heart rate variability across time, technology, cardiovascular health, brain aging, and addiction recovery. Together, these papers highlight both the strengths and limitations of HRV as a window into nervous system regulation.
1. Unveiling the Extremely Low Frequency Component of Heart Rate Variability
Authors: Krzysztof, Adam G. Journal: Applied Sciences
This study demonstrates that ultra-low-frequency HRV is not a single physiological process, but can be decomposed into two independent components reflecting circadian and ultradian rhythms. The findings expand our understanding of long-term autonomic regulation and biological timing.
https://www.mdpi.com/2076-3417/16/1/426
2. Limited Evidence for Heart Rate Variability as a Predictor of Cognitive and Pathophysiological Brain Markers
Authors: Sofia, Jaime D., Arie, Balewgizie, Harriëtte, Rozemarijn, Rudi, Ronald, Peter Paul Journal: Journal of Alzheimer’s Disease
Using a long-term longitudinal design, this study examined whether midlife HRV predicts later cognitive performance, brain imaging findings, or Alzheimer’s biomarkers. Results suggest HRV alone is not a reliable early predictor of neurodegenerative pathology.
https://journals.sagepub.com/doi/10.1177/13872877251409343
3. Beyond Motion Artifacts: Optimizing PPG Preprocessing for Accurate Pulse Rate Variability Estimation
Authors: Yuna, Natasha, Aarti, Varun, Matthew S. Conference Proceedings: ACM (UbiComp)
This engineering study shows that preprocessing choices—particularly band-pass filtering—strongly influence the accuracy of pulse-rate variability derived from wearable PPG sensors. The authors demonstrate that adaptive preprocessing significantly improves HRV estimation accuracy.
https://dl.acm.org/doi/epdf/10.1145/3714394.3756241
4. Association of Diurnal Blood Pressure Patterns with Heart Rate Variability and Retinopathy in Patients with Essential Hypertension
Authors: Fengping, Hui, Tianfeng, Chen Journal: Scientific Reports
This clinical study links abnormal nighttime blood pressure patterns with reduced HRV and a markedly higher prevalence of hypertensive retinopathy. The findings highlight the relationship between circadian autonomic regulation and microvascular health.
https://www.nature.com/articles/s41598-025-29694-9
5. Yoga for Opioid Withdrawal and Autonomic Regulation: A Randomized Clinical Trial
Authors: Suddala, Hemant, Bharath, Jayant, Ravindra P., Nishitha, Venkata Lakshmi, Urvakhsh Meherwan, Shivarama, Ganesan, Prabhat, Bangalore Nanjundiah, Kevin P., Matcheri, Pratima Journal: JAMA Psychiatry
This randomized clinical trial shows that adding yoga to standard opioid detoxification significantly accelerates withdrawal recovery, improves HRV, reduces anxiety, improves sleep, and decreases pain—demonstrating the role of autonomic regulation in addiction recovery.
https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2843424
Sponsor...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:14:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Mara Mather Explore HRV Biofeedback, the Brain, and Alzheimer's Disease]]>
                </title>
                <pubDate>Thu, 08 Jan 2026 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2295779</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-mara-mather-explore-hrv-biofeedback-the-brain-and-alzheimers-disease</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett is joined by Dr. Inna Khazan and Dr. Mara Mather to discuss Dr. Mather's research on heart rate variability biofeedback. Dr. Mather's work opens exciting new insights to the real and potential power of HRV biofeedback. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett is joined by Dr. Inna Khazan and Dr. Mara Mather to discuss Dr. Mather's research on heart rate variability biofeedback. Dr. Mather's work opens exciting new insights to the real and potential power of HRV biofeedback. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Mara Mather Explore HRV Biofeedback, the Brain, and Alzheimer's Disease]]>
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                    <![CDATA[<p>In this episode, Matt Bennett is joined by Dr. Inna Khazan and Dr. Mara Mather to discuss Dr. Mather's research on heart rate variability biofeedback. Dr. Mather's work opens exciting new insights to the real and potential power of HRV biofeedback. </p>]]>
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                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett is joined by Dr. Inna Khazan and Dr. Mara Mather to discuss Dr. Mather's research on heart rate variability biofeedback. Dr. Mather's work opens exciting new insights to the real and potential power of HRV biofeedback. ]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:57:45</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
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                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 19]]>
                </title>
                <pubDate>Tue, 06 Jan 2026 07:57:51 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2315571</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-19</link>
                                <description>
                                            <![CDATA[<h1>Episode Show Notes: This Week in HRV – January 2026</h1>
<p>Welcome to the first episode of 2026! Today, host Matt Bennett explores ten groundbreaking studies that bridge the gap between autonomic health, mental well-being, and physical performance. From the cardiac strain of early psychosis to the "neuroimmune triad" in diabetes, we dive deep into the latest science of Heart Rate Variability.</p>
<h2>Detailed Study Summaries</h2>
<h3>1. Myocardial deformation and pro-arrhythmic indices in first-episode patients with psychosis before and one year after the initiation of antipsychotic treatment</h3>
<p><strong>Authors:</strong> Marios Plakoutsis, Aris Bechlioulis, Aidonis Rammos, Spyridon Sioros, Andreas Karampas, Georgios Georgiou, Lampros K. Michalis, Katerina K. Naka, and Petros Petrikis. This study highlights that a first psychotic episode is a full-body stressor causing immediate autonomic imbalance. Even without prior heart disease, patients showed abnormal HRV and subtle weakening of heart muscle contraction. While treatment rebalances the autonomic system, it requires vigilant monitoring due to medication-induced QT interval prolongation.</p>
<h3>2. Perception of effort decreases with motor sequence learning</h3>
<p><strong>Authors:</strong> Bahram Ghafari Goushe, Thomas Mangin, Benjamin Pageaux, and Jason L. Neva. Learning a new skill isn't just a brain-based phenomenon. This experiment shows that as a task becomes automated, the body stays calmer (higher RMSSD) and the subjective perception of effort drops, reducing the physiological "price" of performance.</p>
<h3>3. Serum cytokine levels and heart rate variability in the frequency domain in patients with chronic Chagas heart disease</h3>
<p><strong>Authors:</strong> Reinaldo B. Bestetti Sr., Renata Dellalibera-Joviliano, Milton Faria Junior, Rosemary A. Furlan Daniel, and Cláudia C. Domingos. Focusing on the inflammatory reflex, researchers found that Interleukin-23 (IL-23) specifically correlates with reduced vagal tone in Chagas heart disease, suggesting this cytokine interferes with the nervous system's ability to regulate the heart.</p>
<h3>4. Research on changes in psychological, physical fatigue and emotional states in the National Youth Orienteering Preparation Camp</h3>
<p><strong>Authors:</strong> Haiyan Li. Comparing athletes at an intensive camp to those training at home, this study proves that structured recovery (fixed hydration, rest, and mental skills training) leads to significantly better HRV adaptations and lower cortisol, preventing burnout despite high training loads.</p>
<h3>5. Autonomic-inflammatory crosstalk in diabetic atherogenesis: a neuroimmune triad (HRV-LMR-hsCRP) predicts carotid plaque risk in type 2 diabetes</h3>
<p><strong>Authors:</strong> Xinrui Zhou, Xiaowei Bai, Li Ding, Shuai Zhang, and Ya Li. This paper introduces a practical "neuroimmune triad"—combining HRV with immune markers (LMR and hsCRP)—to accurately predict the risk of carotid plaques in diabetic patients, identifying those at highest risk for stroke.</p>
<h3>6. Effect of Tai Chi and Qigong on Heart Rate Variability: A Systematic Review and Meta-Analysis Examining Baseline Autonomic Function and Intervention Complexity as Moderators in Adults</h3>
<p><strong>Authors:</strong> Yasmine A. Gunawan, Mein-Woei Suen, Hanifa M. Denny, Ishita Chauhan, Milcha Fakhria, Siswi Jayanti, and Earl F.I. Mallari. A meta-analysis of 15 studies confirms that mind-body exercises improve HRV regardless of routine complexity. However, gains are largest for those who enter the practice with a relatively healthy baseline autonomic state.</p>
<h3>7. Sympathovagal imbalance in drug-naïve chronic obstructive pulmonary disease patients: a physiological mechanism to cope with the severity of airway obstruction in an observational study</h3>
<p><strong>Authors:</strong> Durgesh K. Gupta, Shibu S. Awasthi, Suman Gupta, and Himani H. More. In COPD, the body reflexively boosts sympathetic drive t...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Episode Show Notes: This Week in HRV – January 2026
Welcome to the first episode of 2026! Today, host Matt Bennett explores ten groundbreaking studies that bridge the gap between autonomic health, mental well-being, and physical performance. From the cardiac strain of early psychosis to the "neuroimmune triad" in diabetes, we dive deep into the latest science of Heart Rate Variability.
Detailed Study Summaries
1. Myocardial deformation and pro-arrhythmic indices in first-episode patients with psychosis before and one year after the initiation of antipsychotic treatment
Authors: Marios Plakoutsis, Aris Bechlioulis, Aidonis Rammos, Spyridon Sioros, Andreas Karampas, Georgios Georgiou, Lampros K. Michalis, Katerina K. Naka, and Petros Petrikis. This study highlights that a first psychotic episode is a full-body stressor causing immediate autonomic imbalance. Even without prior heart disease, patients showed abnormal HRV and subtle weakening of heart muscle contraction. While treatment rebalances the autonomic system, it requires vigilant monitoring due to medication-induced QT interval prolongation.
2. Perception of effort decreases with motor sequence learning
Authors: Bahram Ghafari Goushe, Thomas Mangin, Benjamin Pageaux, and Jason L. Neva. Learning a new skill isn't just a brain-based phenomenon. This experiment shows that as a task becomes automated, the body stays calmer (higher RMSSD) and the subjective perception of effort drops, reducing the physiological "price" of performance.
3. Serum cytokine levels and heart rate variability in the frequency domain in patients with chronic Chagas heart disease
Authors: Reinaldo B. Bestetti Sr., Renata Dellalibera-Joviliano, Milton Faria Junior, Rosemary A. Furlan Daniel, and Cláudia C. Domingos. Focusing on the inflammatory reflex, researchers found that Interleukin-23 (IL-23) specifically correlates with reduced vagal tone in Chagas heart disease, suggesting this cytokine interferes with the nervous system's ability to regulate the heart.
4. Research on changes in psychological, physical fatigue and emotional states in the National Youth Orienteering Preparation Camp
Authors: Haiyan Li. Comparing athletes at an intensive camp to those training at home, this study proves that structured recovery (fixed hydration, rest, and mental skills training) leads to significantly better HRV adaptations and lower cortisol, preventing burnout despite high training loads.
5. Autonomic-inflammatory crosstalk in diabetic atherogenesis: a neuroimmune triad (HRV-LMR-hsCRP) predicts carotid plaque risk in type 2 diabetes
Authors: Xinrui Zhou, Xiaowei Bai, Li Ding, Shuai Zhang, and Ya Li. This paper introduces a practical "neuroimmune triad"—combining HRV with immune markers (LMR and hsCRP)—to accurately predict the risk of carotid plaques in diabetic patients, identifying those at highest risk for stroke.
6. Effect of Tai Chi and Qigong on Heart Rate Variability: A Systematic Review and Meta-Analysis Examining Baseline Autonomic Function and Intervention Complexity as Moderators in Adults
Authors: Yasmine A. Gunawan, Mein-Woei Suen, Hanifa M. Denny, Ishita Chauhan, Milcha Fakhria, Siswi Jayanti, and Earl F.I. Mallari. A meta-analysis of 15 studies confirms that mind-body exercises improve HRV regardless of routine complexity. However, gains are largest for those who enter the practice with a relatively healthy baseline autonomic state.
7. Sympathovagal imbalance in drug-naïve chronic obstructive pulmonary disease patients: a physiological mechanism to cope with the severity of airway obstruction in an observational study
Authors: Durgesh K. Gupta, Shibu S. Awasthi, Suman Gupta, and Himani H. More. In COPD, the body reflexively boosts sympathetic drive t...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 19]]>
                </itunes:title>
                                    <itunes:episode>19</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h1>Episode Show Notes: This Week in HRV – January 2026</h1>
<p>Welcome to the first episode of 2026! Today, host Matt Bennett explores ten groundbreaking studies that bridge the gap between autonomic health, mental well-being, and physical performance. From the cardiac strain of early psychosis to the "neuroimmune triad" in diabetes, we dive deep into the latest science of Heart Rate Variability.</p>
<h2>Detailed Study Summaries</h2>
<h3>1. Myocardial deformation and pro-arrhythmic indices in first-episode patients with psychosis before and one year after the initiation of antipsychotic treatment</h3>
<p><strong>Authors:</strong> Marios Plakoutsis, Aris Bechlioulis, Aidonis Rammos, Spyridon Sioros, Andreas Karampas, Georgios Georgiou, Lampros K. Michalis, Katerina K. Naka, and Petros Petrikis. This study highlights that a first psychotic episode is a full-body stressor causing immediate autonomic imbalance. Even without prior heart disease, patients showed abnormal HRV and subtle weakening of heart muscle contraction. While treatment rebalances the autonomic system, it requires vigilant monitoring due to medication-induced QT interval prolongation.</p>
<h3>2. Perception of effort decreases with motor sequence learning</h3>
<p><strong>Authors:</strong> Bahram Ghafari Goushe, Thomas Mangin, Benjamin Pageaux, and Jason L. Neva. Learning a new skill isn't just a brain-based phenomenon. This experiment shows that as a task becomes automated, the body stays calmer (higher RMSSD) and the subjective perception of effort drops, reducing the physiological "price" of performance.</p>
<h3>3. Serum cytokine levels and heart rate variability in the frequency domain in patients with chronic Chagas heart disease</h3>
<p><strong>Authors:</strong> Reinaldo B. Bestetti Sr., Renata Dellalibera-Joviliano, Milton Faria Junior, Rosemary A. Furlan Daniel, and Cláudia C. Domingos. Focusing on the inflammatory reflex, researchers found that Interleukin-23 (IL-23) specifically correlates with reduced vagal tone in Chagas heart disease, suggesting this cytokine interferes with the nervous system's ability to regulate the heart.</p>
<h3>4. Research on changes in psychological, physical fatigue and emotional states in the National Youth Orienteering Preparation Camp</h3>
<p><strong>Authors:</strong> Haiyan Li. Comparing athletes at an intensive camp to those training at home, this study proves that structured recovery (fixed hydration, rest, and mental skills training) leads to significantly better HRV adaptations and lower cortisol, preventing burnout despite high training loads.</p>
<h3>5. Autonomic-inflammatory crosstalk in diabetic atherogenesis: a neuroimmune triad (HRV-LMR-hsCRP) predicts carotid plaque risk in type 2 diabetes</h3>
<p><strong>Authors:</strong> Xinrui Zhou, Xiaowei Bai, Li Ding, Shuai Zhang, and Ya Li. This paper introduces a practical "neuroimmune triad"—combining HRV with immune markers (LMR and hsCRP)—to accurately predict the risk of carotid plaques in diabetic patients, identifying those at highest risk for stroke.</p>
<h3>6. Effect of Tai Chi and Qigong on Heart Rate Variability: A Systematic Review and Meta-Analysis Examining Baseline Autonomic Function and Intervention Complexity as Moderators in Adults</h3>
<p><strong>Authors:</strong> Yasmine A. Gunawan, Mein-Woei Suen, Hanifa M. Denny, Ishita Chauhan, Milcha Fakhria, Siswi Jayanti, and Earl F.I. Mallari. A meta-analysis of 15 studies confirms that mind-body exercises improve HRV regardless of routine complexity. However, gains are largest for those who enter the practice with a relatively healthy baseline autonomic state.</p>
<h3>7. Sympathovagal imbalance in drug-naïve chronic obstructive pulmonary disease patients: a physiological mechanism to cope with the severity of airway obstruction in an observational study</h3>
<p><strong>Authors:</strong> Durgesh K. Gupta, Shibu S. Awasthi, Suman Gupta, and Himani H. More. In COPD, the body reflexively boosts sympathetic drive to keep airways open (bronchodilation). This necessary coping mechanism leads to chronic autonomic imbalance, which explains the high cardiovascular risk in these patients.</p>
<h3>8. Irritability in autism examined through network analysis of phenotypic and physiological correlates</h3>
<p><strong>Authors:</strong> Sara Alatrash, Tithi Paul, Brendan F. Andrade, Suneeta Monga, Jessica Brian, Evdokia Anagnostou, Melanie Penner, Atena Roshan Fekr, and Azadeh Kushki. Network analysis reveals that low HRV in autism serves as a marker for reduced regulatory capacity. When autonomic "brakes" are weak, children are more susceptible to the meltdowns associated with irritability.</p>
<h3>9. A heart rate variability-driven framework for depression screening leveraging emotion-elicited autonomic divergence</h3>
<p><strong>Authors:</strong> Zhibin Zhu, Xuanyi Wang, Yifei Xu, Wanlin Chen, Jing Zheng, Shulin Chen, and Hang Chen. Researchers developed a "cardiac stress test" for mental health. By measuring HRV responses to sad stimuli, they identified depressed individuals with 77% accuracy—far more reliable than measurements taken during a neutral resting state.</p>
<h3>10. Epidemiological Link Between Post-traumatic Stress Disorder and Cardiovascular Disease: Evidence, Mechanisms, and Clinical Implications</h3>
<p><strong>Authors:</strong> Malik K. Al-Ariki, Ivan Karpenko, Grigorii Esion, Anvar K. Djumanov, Shirin Dadaev, Hasan Saghir, Daria Khorunzhaya, Zlata Kurant, Valeriia Gevorgian, Anastasiia V. Badlaeva, Aleksey M. Kireychev, Mohammad Ayad, Haya Darwish, and Abubakar I. Sidik. This review argues that PTSD should be treated as a primary risk factor for heart disease. Chronic hyperarousal and inflammation in PTSD lead to a 60% higher risk of cardiovascular issues, necessitating integrated care between mental health and cardiology.</p>
<h2>Research Links</h2>
<ol>
<li>
<p><strong>First-Episode Psychosis:</strong> <a href="https://www.sciencedirect.com/science/article/abs/pii/S0022395625004613" title="null">Journal of Psychiatric Research</a></p>
</li>
<li>
<p><strong>Motor Sequence Learning:</strong> <a href="https://www.nature.com/articles/s41598-025-20733-z" title="null">Scientific Reports</a></p>
</li>
<li>
<p><strong>Cytokines &amp; Chagas:</strong> <a href="https://www.cureus.com/articles/394174-serum-cytokine-levels-and-heart-rate-variability-in-the-frequency-domain-in-patients-with-chronic-chagas-heart-disease" title="null">Cureus</a></p>
</li>
<li>
<p><strong>Youth Orienteering:</strong> <a href="https://www.nature.com/articles/s41598-025-27719-x" title="null">Scientific Reports</a></p>
</li>
<li>
<p><strong>Neuroimmune Triad:</strong> <a href="https://link.springer.com/article/10.1186/s40842-025-00259-z" title="null">Cardiovascular Diabetology</a></p>
</li>
<li>
<p><strong>Tai Chi &amp; Qigong:</strong> <a href="https://www.google.com/search?q=https://karger.com/cmr/article-abstract/doi/10.1159/000550084/941856" title="null">Complementary Medicine Research</a></p>
</li>
<li>
<p><strong>COPD HRV Imbalance:</strong> <a href="https://www.google.com/search?q=https://www.cureus.com/articles/445407-sympathovagal-imbalance-in-drug-nave-chronic-obstructive-pulmonary-disease-patients" title="null">Cureus</a></p>
</li>
<li>
<p><strong>Irritability in Autism:</strong> <a href="https://www.nature.com/articles/s41598-025-28408-5" title="null">Scientific Reports</a></p>
</li>
<li>
<p><strong>Depression Screening:</strong> <a href="https://link.springer.com/article/10.1186/s40101-025-00414-6" title="null">Journal of Physiological Anthropology</a></p>
</li>
<li>
<p><strong>PTSD &amp; Heart Disease:</strong> <a href="https://www.google.com/search?q=https://www.cureus.com/articles/448793-epidemiological-link-between-post-traumatic-stress-disorder-and-cardiovascular-disease" title="null">Cureus</a></p>
</li>
</ol>
<h2>Episode Sponsor</h2>
<p><strong>Optimal HRV:</strong> Harness the power of your heart's data to manage stress and recovery. Download the Optimal HRV app or visit <a href="https://www.optimalhrv.com" title="null">OptimalHRV.com</a> to learn how you can integrate HRV tracking into your clinical practice or daily routine.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2315571/c1e-dr92fm047vbpdmp0-z3p57r5kf2k8-l462gb.mp3" length="23173102"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Episode Show Notes: This Week in HRV – January 2026
Welcome to the first episode of 2026! Today, host Matt Bennett explores ten groundbreaking studies that bridge the gap between autonomic health, mental well-being, and physical performance. From the cardiac strain of early psychosis to the "neuroimmune triad" in diabetes, we dive deep into the latest science of Heart Rate Variability.
Detailed Study Summaries
1. Myocardial deformation and pro-arrhythmic indices in first-episode patients with psychosis before and one year after the initiation of antipsychotic treatment
Authors: Marios Plakoutsis, Aris Bechlioulis, Aidonis Rammos, Spyridon Sioros, Andreas Karampas, Georgios Georgiou, Lampros K. Michalis, Katerina K. Naka, and Petros Petrikis. This study highlights that a first psychotic episode is a full-body stressor causing immediate autonomic imbalance. Even without prior heart disease, patients showed abnormal HRV and subtle weakening of heart muscle contraction. While treatment rebalances the autonomic system, it requires vigilant monitoring due to medication-induced QT interval prolongation.
2. Perception of effort decreases with motor sequence learning
Authors: Bahram Ghafari Goushe, Thomas Mangin, Benjamin Pageaux, and Jason L. Neva. Learning a new skill isn't just a brain-based phenomenon. This experiment shows that as a task becomes automated, the body stays calmer (higher RMSSD) and the subjective perception of effort drops, reducing the physiological "price" of performance.
3. Serum cytokine levels and heart rate variability in the frequency domain in patients with chronic Chagas heart disease
Authors: Reinaldo B. Bestetti Sr., Renata Dellalibera-Joviliano, Milton Faria Junior, Rosemary A. Furlan Daniel, and Cláudia C. Domingos. Focusing on the inflammatory reflex, researchers found that Interleukin-23 (IL-23) specifically correlates with reduced vagal tone in Chagas heart disease, suggesting this cytokine interferes with the nervous system's ability to regulate the heart.
4. Research on changes in psychological, physical fatigue and emotional states in the National Youth Orienteering Preparation Camp
Authors: Haiyan Li. Comparing athletes at an intensive camp to those training at home, this study proves that structured recovery (fixed hydration, rest, and mental skills training) leads to significantly better HRV adaptations and lower cortisol, preventing burnout despite high training loads.
5. Autonomic-inflammatory crosstalk in diabetic atherogenesis: a neuroimmune triad (HRV-LMR-hsCRP) predicts carotid plaque risk in type 2 diabetes
Authors: Xinrui Zhou, Xiaowei Bai, Li Ding, Shuai Zhang, and Ya Li. This paper introduces a practical "neuroimmune triad"—combining HRV with immune markers (LMR and hsCRP)—to accurately predict the risk of carotid plaques in diabetic patients, identifying those at highest risk for stroke.
6. Effect of Tai Chi and Qigong on Heart Rate Variability: A Systematic Review and Meta-Analysis Examining Baseline Autonomic Function and Intervention Complexity as Moderators in Adults
Authors: Yasmine A. Gunawan, Mein-Woei Suen, Hanifa M. Denny, Ishita Chauhan, Milcha Fakhria, Siswi Jayanti, and Earl F.I. Mallari. A meta-analysis of 15 studies confirms that mind-body exercises improve HRV regardless of routine complexity. However, gains are largest for those who enter the practice with a relatively healthy baseline autonomic state.
7. Sympathovagal imbalance in drug-naïve chronic obstructive pulmonary disease patients: a physiological mechanism to cope with the severity of airway obstruction in an observational study
Authors: Durgesh K. Gupta, Shibu S. Awasthi, Suman Gupta, and Himani H. More. In COPD, the body reflexively boosts sympathetic drive t...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:24:08</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[The 2024 Year in Review — Research That Shaped 2025]]>
                </title>
                <pubDate>Tue, 30 Dec 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2308066</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-18</link>
                                <description>
                                            <![CDATA[<h2><b>The 2024 Year in Review — Research That Shaped 2025</b></h2>
<p><b>The Heart Rate Variability Podcast</b></p>
<p>In this special "Year in Review with a Twist," we shift our focus from the weekly news cycle to the big picture. We examine the most influential, highly cited research of 2024 to understand how these findings are revolutionizing clinical thinking and personal wellness in 2025.</p>
<p>HRV is no longer just a metric on a wearable; it has become the definitive framework for understanding <b>resilience, adaptation, and human regulation.</b></p>
<h3><b>Episode Highlights</b></h3>
<ul>
<li>
<p><b>The Anxiety Biomarker:</b> Why 2024 research confirms HRV as a "top-down" signal of how the brain calms itself and its potential for identifying anxiety subtypes.</p>
</li>
<li>
<p><b>Combatting "Inflammaging":</b> Exploring the link between vagal tone and chronic low-grade inflammation in aging populations.</p>
</li>
<li>
<p><b>The Autonomic Conditioning of Exercise:</b> How physical activity trains the nervous system, not just the heart muscle.</p>
</li>
<li>
<p><b>Context is King:</b> A deep dive into the 2024 "Sensitivity Review" highlighting how noise, heat, and even genetics must be accounted for in accurate readings.</p>
</li>
<li>
<p><b>Biofeedback Frontiers:</b> From COPD and Spinal Cord Injury to classroom attention, we look at how HRV training is breaking new ground in rehabilitation and education.</p>
</li>
</ul>
<h3><b>Key Research Reviewed</b></h3>
<ul>
<li>
<p><b>Psychophysiology &amp; Mental Health (2024):</b> A landmark review synthesizing decades of data to establish HRV as a marker of prefrontal cortex regulation over the amygdala in anxiety disorders.</p>
</li>
<li>
<p><b>Gerontology &amp; Immunology (2024):</b> Research into "Inflammaging," positioning HRV as a non-invasive biomarker for biological age rather than just chronological age.</p>
</li>
<li>
<p><b>Sports Science &amp; Performance (2024):</b> A systematic review on HRV-guided training, emphasizing individual baselines over population norms for sustainable athletic performance.</p>
</li>
<li>
<p><b>Clinical Biofeedback Trials (2024):</b> Notable studies involving COPD patients and those with chronic spinal cord injuries, proving the feasibility of HRV training even in complex physiological cases.</p>
</li>
<li>
<p><b>Neurodevelopmental Interventions (2024):</b> Exploratory research into using HRV biofeedback for anxiety in Autism Spectrum Disorder and attention-building in school-aged children.<sup></sup></p>
</li>
</ul>
<h3><b>The 2025 Takeaway</b></h3>
<p>"The question is no longer whether HRV is relevant, but how we apply it thoughtfully and responsibly. Autonomic flexibility is the foundation of emotional resilience, physical health, and cognitive performance."<sup></sup></p>
<h3><b>Sponsor</b></h3>
<p>This episode is brought to you by <b>Optimal HRV</b>. Bridge the gap between data and action with evidence-based tools designed for individuals, clinicians, and organizations. Explore our professional dashboards and HRV training e-gift cards today. <b>Learn more at <a href="http://www.optimalhrv.com" target="_blank" rel="noreferrer noopener">www.optimalhrv.com</a></b></p>
<p><i><b>Disclaimer:</b> The information shared in this podcast is for educational purposes only and is not intended as medical advice. Always consult a qualified healthcare professional before changing your health or wellness routines.</i></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[The 2024 Year in Review — Research That Shaped 2025
The Heart Rate Variability Podcast
In this special "Year in Review with a Twist," we shift our focus from the weekly news cycle to the big picture. We examine the most influential, highly cited research of 2024 to understand how these findings are revolutionizing clinical thinking and personal wellness in 2025.
HRV is no longer just a metric on a wearable; it has become the definitive framework for understanding resilience, adaptation, and human regulation.
Episode Highlights


The Anxiety Biomarker: Why 2024 research confirms HRV as a "top-down" signal of how the brain calms itself and its potential for identifying anxiety subtypes.


Combatting "Inflammaging": Exploring the link between vagal tone and chronic low-grade inflammation in aging populations.


The Autonomic Conditioning of Exercise: How physical activity trains the nervous system, not just the heart muscle.


Context is King: A deep dive into the 2024 "Sensitivity Review" highlighting how noise, heat, and even genetics must be accounted for in accurate readings.


Biofeedback Frontiers: From COPD and Spinal Cord Injury to classroom attention, we look at how HRV training is breaking new ground in rehabilitation and education.


Key Research Reviewed


Psychophysiology & Mental Health (2024): A landmark review synthesizing decades of data to establish HRV as a marker of prefrontal cortex regulation over the amygdala in anxiety disorders.


Gerontology & Immunology (2024): Research into "Inflammaging," positioning HRV as a non-invasive biomarker for biological age rather than just chronological age.


Sports Science & Performance (2024): A systematic review on HRV-guided training, emphasizing individual baselines over population norms for sustainable athletic performance.


Clinical Biofeedback Trials (2024): Notable studies involving COPD patients and those with chronic spinal cord injuries, proving the feasibility of HRV training even in complex physiological cases.


Neurodevelopmental Interventions (2024): Exploratory research into using HRV biofeedback for anxiety in Autism Spectrum Disorder and attention-building in school-aged children.


The 2025 Takeaway
"The question is no longer whether HRV is relevant, but how we apply it thoughtfully and responsibly. Autonomic flexibility is the foundation of emotional resilience, physical health, and cognitive performance."
Sponsor
This episode is brought to you by Optimal HRV. Bridge the gap between data and action with evidence-based tools designed for individuals, clinicians, and organizations. Explore our professional dashboards and HRV training e-gift cards today. Learn more at www.optimalhrv.com
Disclaimer: The information shared in this podcast is for educational purposes only and is not intended as medical advice. Always consult a qualified healthcare professional before changing your health or wellness routines.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[The 2024 Year in Review — Research That Shaped 2025]]>
                </itunes:title>
                                    <itunes:episode>18</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h2><b>The 2024 Year in Review — Research That Shaped 2025</b></h2>
<p><b>The Heart Rate Variability Podcast</b></p>
<p>In this special "Year in Review with a Twist," we shift our focus from the weekly news cycle to the big picture. We examine the most influential, highly cited research of 2024 to understand how these findings are revolutionizing clinical thinking and personal wellness in 2025.</p>
<p>HRV is no longer just a metric on a wearable; it has become the definitive framework for understanding <b>resilience, adaptation, and human regulation.</b></p>
<h3><b>Episode Highlights</b></h3>
<ul>
<li>
<p><b>The Anxiety Biomarker:</b> Why 2024 research confirms HRV as a "top-down" signal of how the brain calms itself and its potential for identifying anxiety subtypes.</p>
</li>
<li>
<p><b>Combatting "Inflammaging":</b> Exploring the link between vagal tone and chronic low-grade inflammation in aging populations.</p>
</li>
<li>
<p><b>The Autonomic Conditioning of Exercise:</b> How physical activity trains the nervous system, not just the heart muscle.</p>
</li>
<li>
<p><b>Context is King:</b> A deep dive into the 2024 "Sensitivity Review" highlighting how noise, heat, and even genetics must be accounted for in accurate readings.</p>
</li>
<li>
<p><b>Biofeedback Frontiers:</b> From COPD and Spinal Cord Injury to classroom attention, we look at how HRV training is breaking new ground in rehabilitation and education.</p>
</li>
</ul>
<h3><b>Key Research Reviewed</b></h3>
<ul>
<li>
<p><b>Psychophysiology &amp; Mental Health (2024):</b> A landmark review synthesizing decades of data to establish HRV as a marker of prefrontal cortex regulation over the amygdala in anxiety disorders.</p>
</li>
<li>
<p><b>Gerontology &amp; Immunology (2024):</b> Research into "Inflammaging," positioning HRV as a non-invasive biomarker for biological age rather than just chronological age.</p>
</li>
<li>
<p><b>Sports Science &amp; Performance (2024):</b> A systematic review on HRV-guided training, emphasizing individual baselines over population norms for sustainable athletic performance.</p>
</li>
<li>
<p><b>Clinical Biofeedback Trials (2024):</b> Notable studies involving COPD patients and those with chronic spinal cord injuries, proving the feasibility of HRV training even in complex physiological cases.</p>
</li>
<li>
<p><b>Neurodevelopmental Interventions (2024):</b> Exploratory research into using HRV biofeedback for anxiety in Autism Spectrum Disorder and attention-building in school-aged children.<sup></sup></p>
</li>
</ul>
<h3><b>The 2025 Takeaway</b></h3>
<p>"The question is no longer whether HRV is relevant, but how we apply it thoughtfully and responsibly. Autonomic flexibility is the foundation of emotional resilience, physical health, and cognitive performance."<sup></sup></p>
<h3><b>Sponsor</b></h3>
<p>This episode is brought to you by <b>Optimal HRV</b>. Bridge the gap between data and action with evidence-based tools designed for individuals, clinicians, and organizations. Explore our professional dashboards and HRV training e-gift cards today. <b>Learn more at <a href="http://www.optimalhrv.com" target="_blank" rel="noreferrer noopener">www.optimalhrv.com</a></b></p>
<p><i><b>Disclaimer:</b> The information shared in this podcast is for educational purposes only and is not intended as medical advice. Always consult a qualified healthcare professional before changing your health or wellness routines.</i></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2308066/c1e-zqgkt70q2jbok7on-34m2no3zfw40-xeewgu.mp3" length="9136778"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[The 2024 Year in Review — Research That Shaped 2025
The Heart Rate Variability Podcast
In this special "Year in Review with a Twist," we shift our focus from the weekly news cycle to the big picture. We examine the most influential, highly cited research of 2024 to understand how these findings are revolutionizing clinical thinking and personal wellness in 2025.
HRV is no longer just a metric on a wearable; it has become the definitive framework for understanding resilience, adaptation, and human regulation.
Episode Highlights


The Anxiety Biomarker: Why 2024 research confirms HRV as a "top-down" signal of how the brain calms itself and its potential for identifying anxiety subtypes.


Combatting "Inflammaging": Exploring the link between vagal tone and chronic low-grade inflammation in aging populations.


The Autonomic Conditioning of Exercise: How physical activity trains the nervous system, not just the heart muscle.


Context is King: A deep dive into the 2024 "Sensitivity Review" highlighting how noise, heat, and even genetics must be accounted for in accurate readings.


Biofeedback Frontiers: From COPD and Spinal Cord Injury to classroom attention, we look at how HRV training is breaking new ground in rehabilitation and education.


Key Research Reviewed


Psychophysiology & Mental Health (2024): A landmark review synthesizing decades of data to establish HRV as a marker of prefrontal cortex regulation over the amygdala in anxiety disorders.


Gerontology & Immunology (2024): Research into "Inflammaging," positioning HRV as a non-invasive biomarker for biological age rather than just chronological age.


Sports Science & Performance (2024): A systematic review on HRV-guided training, emphasizing individual baselines over population norms for sustainable athletic performance.


Clinical Biofeedback Trials (2024): Notable studies involving COPD patients and those with chronic spinal cord injuries, proving the feasibility of HRV training even in complex physiological cases.


Neurodevelopmental Interventions (2024): Exploratory research into using HRV biofeedback for anxiety in Autism Spectrum Disorder and attention-building in school-aged children.


The 2025 Takeaway
"The question is no longer whether HRV is relevant, but how we apply it thoughtfully and responsibly. Autonomic flexibility is the foundation of emotional resilience, physical health, and cognitive performance."
Sponsor
This episode is brought to you by Optimal HRV. Bridge the gap between data and action with evidence-based tools designed for individuals, clinicians, and organizations. Explore our professional dashboards and HRV training e-gift cards today. Learn more at www.optimalhrv.com
Disclaimer: The information shared in this podcast is for educational purposes only and is not intended as medical advice. Always consult a qualified healthcare professional before changing your health or wellness routines.]]>
                </itunes:summary>
                                                                            <itunes:duration>00:09:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Stephanie White Talks Very High Frequency Heart Rate Variability]]>
                </title>
                <pubDate>Thu, 25 Dec 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2267755</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/stephanie-white-talks-very-high-frequency-heart-rate-variability</link>
                                <description>
                                            <![CDATA[<p>In this episode, Stephanie White joins Matt Bennet to explore the nature and uses of Very High Frequency Heart Rate Variability.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Stephanie White joins Matt Bennet to explore the nature and uses of Very High Frequency Heart Rate Variability.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Stephanie White Talks Very High Frequency Heart Rate Variability]]>
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                <content:encoded>
                    <![CDATA[<p>In this episode, Stephanie White joins Matt Bennet to explore the nature and uses of Very High Frequency Heart Rate Variability.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2267755/c1e-oq5zt2kwwdfjdnp5-47mjqjkji321-j5clt7.mp3" length="45915667"
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                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Stephanie White joins Matt Bennet to explore the nature and uses of Very High Frequency Heart Rate Variability.]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:45:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition - Episode 17]]>
                </title>
                <pubDate>Tue, 23 Dec 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2301984</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-17</link>
                                <description>
                                            <![CDATA[<p><strong>This Week in Heart Rate Variability: Air Pollution, Spiritual Wellbeing, Consciousness &amp; Clinical Prediction</strong></p>
<p>In this episode of <i>The Heart Rate Variability Podcast – This Week in HRV</i>, we expand the horizons of autonomic science. From the hidden impact of environmental pollutants to the neuro-spiritual connection of the "heart-brain axis," we examine how HRV serves as a vital bridge between our environment, our consciousness, and our clinical outcomes.</p>
<h3><b>Episode Highlights</b></h3>
<ul>
<li>
<p><b>Environmental Stressors:</b> New research into how air pollution and lead exposure synergistically drive autonomic dysfunction.</p>
</li>
<li>
<p><b>The Spirituality-HRV Link:</b> Exploring Bayesian modeling of Heartbeat Evoked Potentials (HEP) as a biomarker for mental and spiritual wellbeing.</p>
<p></p>
</li>
<li>
<p><b>HRV as a Clinical Life-Line:</b> A deep dive into a major meta-analysis confirming HRV’s power to predict mortality in heart failure patients.</p>
<p></p>
</li>
<li>
<p><b>Mapping Consciousness:</b> How 24-hour HRV monitoring is helping clinicians differentiate between unresponsive wakefulness and recovery in patients with disorders of consciousness.</p>
</li>
<li>
<p><b>Precision and Reliability:</b> Critical insights into the reliability of short-term HRV measurements across different body positions and environments.</p>
</li>
</ul>
<h3><b>Featured Studies &amp; Resources</b></h3>
<p><b>Environmental Research (2025) — Air Pollution &amp; Chronic Lead Exposure:</b> <i>The synergistic impact of environmental toxins on cardiac autonomic function.</i> <a href="https://www.sciencedirect.com/science/article/abs/pii/S0013935125027756" target="_blank" rel="noreferrer noopener">Link to Study</a></p>
<p><b>Cogent Psychology (2025) — Bayesian Modeling of HEP and HRV:</b> <i>An exploratory study on using HRV and heart-brain communication as biomarkers for spiritual health.</i> <a href="https://www.researchgate.net/publication/398502829_Bayesian_modeling_of_heartbeat_evoked_potentials_HEP_and_heart_rate_variability_HRV_as_biomarkers_of_spiritual_and_mental_wellbeing_an_exploratory_study" target="_blank" rel="noreferrer noopener">Link to ResearchGate</a></p>
<p><b>Scientific Reports (2025) — The Multidimensional Perspective of HRV:</b> <i>A comprehensive look at the brain-heart axis (BHA) and its role in predicting multi-system disease.</i> <a href="https://www.nature.com/articles/s41598-025-27719-x" target="_blank" rel="noreferrer noopener">Link to Nature</a></p>
<p><b>Cureus (2025) — HRV as a Predictor of Mortality in Heart Failure:</b> <i>A systematic review and meta-analysis on the prognostic value of HRV in cardiovascular care.</i> <a href="https://www.cureus.com/articles/433003-heart-rate-variability-as-a-predictor-of-mortality-in-heart-failure-a-systematic-review-and-meta-analysis#!/" target="_blank" rel="noreferrer noopener">Link to Cureus</a></p>
<p><b>Scientific Reports (2025) — Clinical Reliability of Short-Term HRV</b> <i>Insights into the consistency of HRV measurements in dual-environment and dual-position settings.</i> <a href="https://www.nature.com/articles/s41598-025-28223-y" target="_blank" rel="noreferrer noopener">Link to Nature</a></p>
<p><b>Acta Neurologica Belgica (2025) — HRV in Disorders of Consciousness</b> <i>Using 24-hour HRV metrics to identify emergence from minimally conscious states (PMID: 41389121).</i> <a href="https://pubmed.ncbi.nlm.nih.gov/41389121/" target="_blank" rel="noreferrer noopener">Link to PubMed</a></p>
<p><b>Psicothema (2025) — Autonomic Modulation &amp; Psychological States</b> <i>Examining the latest protocols for integrating HRV into psychological and behavioral health assessments.</i> <a href="https://www.sciencedirect.com/science/article/pii/S1697260025001139" target="_blank" rel="noreferrer noopener">Link to ScienceDirect</a></p>
<h3><b>Key Takeaway</b></h3>
<p>The "Heart-Brain Axis" is more than a concept—it is a measurable r...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This Week in Heart Rate Variability: Air Pollution, Spiritual Wellbeing, Consciousness & Clinical Prediction
In this episode of The Heart Rate Variability Podcast – This Week in HRV, we expand the horizons of autonomic science. From the hidden impact of environmental pollutants to the neuro-spiritual connection of the "heart-brain axis," we examine how HRV serves as a vital bridge between our environment, our consciousness, and our clinical outcomes.
Episode Highlights


Environmental Stressors: New research into how air pollution and lead exposure synergistically drive autonomic dysfunction.


The Spirituality-HRV Link: Exploring Bayesian modeling of Heartbeat Evoked Potentials (HEP) as a biomarker for mental and spiritual wellbeing.



HRV as a Clinical Life-Line: A deep dive into a major meta-analysis confirming HRV’s power to predict mortality in heart failure patients.



Mapping Consciousness: How 24-hour HRV monitoring is helping clinicians differentiate between unresponsive wakefulness and recovery in patients with disorders of consciousness.


Precision and Reliability: Critical insights into the reliability of short-term HRV measurements across different body positions and environments.


Featured Studies & Resources
Environmental Research (2025) — Air Pollution & Chronic Lead Exposure: The synergistic impact of environmental toxins on cardiac autonomic function. Link to Study
Cogent Psychology (2025) — Bayesian Modeling of HEP and HRV: An exploratory study on using HRV and heart-brain communication as biomarkers for spiritual health. Link to ResearchGate
Scientific Reports (2025) — The Multidimensional Perspective of HRV: A comprehensive look at the brain-heart axis (BHA) and its role in predicting multi-system disease. Link to Nature
Cureus (2025) — HRV as a Predictor of Mortality in Heart Failure: A systematic review and meta-analysis on the prognostic value of HRV in cardiovascular care. Link to Cureus
Scientific Reports (2025) — Clinical Reliability of Short-Term HRV Insights into the consistency of HRV measurements in dual-environment and dual-position settings. Link to Nature
Acta Neurologica Belgica (2025) — HRV in Disorders of Consciousness Using 24-hour HRV metrics to identify emergence from minimally conscious states (PMID: 41389121). Link to PubMed
Psicothema (2025) — Autonomic Modulation & Psychological States Examining the latest protocols for integrating HRV into psychological and behavioral health assessments. Link to ScienceDirect
Key Takeaway
The "Heart-Brain Axis" is more than a concept—it is a measurable r...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition - Episode 17]]>
                </itunes:title>
                                    <itunes:episode>17</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>This Week in Heart Rate Variability: Air Pollution, Spiritual Wellbeing, Consciousness &amp; Clinical Prediction</strong></p>
<p>In this episode of <i>The Heart Rate Variability Podcast – This Week in HRV</i>, we expand the horizons of autonomic science. From the hidden impact of environmental pollutants to the neuro-spiritual connection of the "heart-brain axis," we examine how HRV serves as a vital bridge between our environment, our consciousness, and our clinical outcomes.</p>
<h3><b>Episode Highlights</b></h3>
<ul>
<li>
<p><b>Environmental Stressors:</b> New research into how air pollution and lead exposure synergistically drive autonomic dysfunction.</p>
</li>
<li>
<p><b>The Spirituality-HRV Link:</b> Exploring Bayesian modeling of Heartbeat Evoked Potentials (HEP) as a biomarker for mental and spiritual wellbeing.</p>
<p></p>
</li>
<li>
<p><b>HRV as a Clinical Life-Line:</b> A deep dive into a major meta-analysis confirming HRV’s power to predict mortality in heart failure patients.</p>
<p></p>
</li>
<li>
<p><b>Mapping Consciousness:</b> How 24-hour HRV monitoring is helping clinicians differentiate between unresponsive wakefulness and recovery in patients with disorders of consciousness.</p>
</li>
<li>
<p><b>Precision and Reliability:</b> Critical insights into the reliability of short-term HRV measurements across different body positions and environments.</p>
</li>
</ul>
<h3><b>Featured Studies &amp; Resources</b></h3>
<p><b>Environmental Research (2025) — Air Pollution &amp; Chronic Lead Exposure:</b> <i>The synergistic impact of environmental toxins on cardiac autonomic function.</i> <a href="https://www.sciencedirect.com/science/article/abs/pii/S0013935125027756" target="_blank" rel="noreferrer noopener">Link to Study</a></p>
<p><b>Cogent Psychology (2025) — Bayesian Modeling of HEP and HRV:</b> <i>An exploratory study on using HRV and heart-brain communication as biomarkers for spiritual health.</i> <a href="https://www.researchgate.net/publication/398502829_Bayesian_modeling_of_heartbeat_evoked_potentials_HEP_and_heart_rate_variability_HRV_as_biomarkers_of_spiritual_and_mental_wellbeing_an_exploratory_study" target="_blank" rel="noreferrer noopener">Link to ResearchGate</a></p>
<p><b>Scientific Reports (2025) — The Multidimensional Perspective of HRV:</b> <i>A comprehensive look at the brain-heart axis (BHA) and its role in predicting multi-system disease.</i> <a href="https://www.nature.com/articles/s41598-025-27719-x" target="_blank" rel="noreferrer noopener">Link to Nature</a></p>
<p><b>Cureus (2025) — HRV as a Predictor of Mortality in Heart Failure:</b> <i>A systematic review and meta-analysis on the prognostic value of HRV in cardiovascular care.</i> <a href="https://www.cureus.com/articles/433003-heart-rate-variability-as-a-predictor-of-mortality-in-heart-failure-a-systematic-review-and-meta-analysis#!/" target="_blank" rel="noreferrer noopener">Link to Cureus</a></p>
<p><b>Scientific Reports (2025) — Clinical Reliability of Short-Term HRV</b> <i>Insights into the consistency of HRV measurements in dual-environment and dual-position settings.</i> <a href="https://www.nature.com/articles/s41598-025-28223-y" target="_blank" rel="noreferrer noopener">Link to Nature</a></p>
<p><b>Acta Neurologica Belgica (2025) — HRV in Disorders of Consciousness</b> <i>Using 24-hour HRV metrics to identify emergence from minimally conscious states (PMID: 41389121).</i> <a href="https://pubmed.ncbi.nlm.nih.gov/41389121/" target="_blank" rel="noreferrer noopener">Link to PubMed</a></p>
<p><b>Psicothema (2025) — Autonomic Modulation &amp; Psychological States</b> <i>Examining the latest protocols for integrating HRV into psychological and behavioral health assessments.</i> <a href="https://www.sciencedirect.com/science/article/pii/S1697260025001139" target="_blank" rel="noreferrer noopener">Link to ScienceDirect</a></p>
<h3><b>Key Takeaway</b></h3>
<p>The "Heart-Brain Axis" is more than a concept—it is a measurable reality. Whether we are assessing the impact of global environmental changes, the recovery of a patient’s consciousness, or the depth of a person’s spiritual wellbeing, HRV provides the high-fidelity data needed to understand the body's total adaptive capacity.</p>
<h3><b>Sponsor</b></h3>
<p>This episode is sponsored by <b>Optimal HRV</b>, providing evidence-based tools for measuring and training heart rate variability for individuals, clinicians, and organizations. Now offering e-gift cards for HRV training, app access, and professional dashboards.</p>
<p>Learn more at <a href="http://www.optimalhrv.com/" target="_blank" rel="noreferrer noopener">www.optimalhrv.com</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2301984/c1e-dr92fmp44wcpdmp0-47mzkqp4f79r-axznv1.mp3" length="34953699"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This Week in Heart Rate Variability: Air Pollution, Spiritual Wellbeing, Consciousness & Clinical Prediction
In this episode of The Heart Rate Variability Podcast – This Week in HRV, we expand the horizons of autonomic science. From the hidden impact of environmental pollutants to the neuro-spiritual connection of the "heart-brain axis," we examine how HRV serves as a vital bridge between our environment, our consciousness, and our clinical outcomes.
Episode Highlights


Environmental Stressors: New research into how air pollution and lead exposure synergistically drive autonomic dysfunction.


The Spirituality-HRV Link: Exploring Bayesian modeling of Heartbeat Evoked Potentials (HEP) as a biomarker for mental and spiritual wellbeing.



HRV as a Clinical Life-Line: A deep dive into a major meta-analysis confirming HRV’s power to predict mortality in heart failure patients.



Mapping Consciousness: How 24-hour HRV monitoring is helping clinicians differentiate between unresponsive wakefulness and recovery in patients with disorders of consciousness.


Precision and Reliability: Critical insights into the reliability of short-term HRV measurements across different body positions and environments.


Featured Studies & Resources
Environmental Research (2025) — Air Pollution & Chronic Lead Exposure: The synergistic impact of environmental toxins on cardiac autonomic function. Link to Study
Cogent Psychology (2025) — Bayesian Modeling of HEP and HRV: An exploratory study on using HRV and heart-brain communication as biomarkers for spiritual health. Link to ResearchGate
Scientific Reports (2025) — The Multidimensional Perspective of HRV: A comprehensive look at the brain-heart axis (BHA) and its role in predicting multi-system disease. Link to Nature
Cureus (2025) — HRV as a Predictor of Mortality in Heart Failure: A systematic review and meta-analysis on the prognostic value of HRV in cardiovascular care. Link to Cureus
Scientific Reports (2025) — Clinical Reliability of Short-Term HRV Insights into the consistency of HRV measurements in dual-environment and dual-position settings. Link to Nature
Acta Neurologica Belgica (2025) — HRV in Disorders of Consciousness Using 24-hour HRV metrics to identify emergence from minimally conscious states (PMID: 41389121). Link to PubMed
Psicothema (2025) — Autonomic Modulation & Psychological States Examining the latest protocols for integrating HRV into psychological and behavioral health assessments. Link to ScienceDirect
Key Takeaway
The "Heart-Brain Axis" is more than a concept—it is a measurable r...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:36:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition - Episode 16]]>
                </title>
                <pubDate>Tue, 16 Dec 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2289162</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-16</link>
                                <description>
                                            <![CDATA[<h2>This Week in Heart Rate Variability: Metabolic Syndrome, Nerve Blocks, EDS &amp; Autonomic Health</h2>
<p>In this episode of <em>The Heart Rate Variability Podcast – This Week in HRV</em>, we explore how the autonomic nervous system function connects metabolic disease, genetic disorders, targeted neural interventions, and the future of biofeedback science.</p>
<h3>Episode Highlights</h3>
<ul>
<li>
<p>How <strong>Metabolic Syndrome</strong> drives chronic sympathetic overactivation and reduced HRV</p>
</li>
<li>
<p>Experimental evidence showing how the <strong>stellate ganglion block</strong> directly alters HRV and sympathetic tone</p>
</li>
<li>
<p>New data validating <strong>dysautonomia in Ehlers–Danlos Syndrome</strong> using HRV and autonomic testing</p>
</li>
<li>
<p>Why HRV is emerging as a critical <strong>clinical and research biomarker</strong></p>
</li>
<li>
<p>A preview of the <strong>2026 AAPB Annual Scientific Meeting</strong> and why it matters for clinicians and researchers</p>
</li>
</ul>
<h3>Featured Studies &amp; Resources</h3>
<ul>
<li>
<p><em>Cureus (2025)</em> — Autonomic Nervous System Dysregulation in Metabolic Syndrome<br /> <a href="https://www.cureus.com/articles/431819-autonomic-nervous-system-dysregulation-in-metabolic-syndrome-an-association-with-hypertension-and-cardiovascular-risk#!/">https://www.cureus.com/articles/431819-autonomic-nervous-system-dysregulation-in-metabolic-syndrome-an-association-with-hypertension-and-cardiovascular-risk#!/</a></p>
</li>
<li>
<p><em>Autonomic Neuroscience (2025)</em> — Selective Sympathetic Action on HRV After Stellate Ganglion Block<br /> <a href="https://www.sciencedirect.com/science/article/abs/pii/S1566070225001298">https://www.sciencedirect.com/science/article/abs/pii/S1566070225001298</a></p>
</li>
<li>
<p><em>Cureus (2025)</em> — Heart Rate Variability and Intrinsic Autonomic Coupling in Ehlers–Danlos Syndrome<br /> <a href="https://www.cureus.com/articles/429326-heart-rate-variability-and-intrinsic-autonomic-coupling-in-ehlers-danlos-syndrome?score_article=true#!/">https://www.cureus.com/articles/429326-heart-rate-variability-and-intrinsic-autonomic-coupling-in-ehlers-danlos-syndrome?score_article=true#!/</a></p>
</li>
<li>
<p><strong>Association for Applied Psychophysiology and Biofeedback (AAPB)</strong><br /> About AAPB: <a href="https://aapb.org/about">https://aapb.org/about</a><br /> 2026 Annual Conference: <a href="https://aapb.starchapter.com/meetinginfo.php?id=43&amp;ts=1763415344">https://aapb.starchapter.com/meetinginfo.php?id=43&amp;ts=1763415344</a></p>
</li>
</ul>
<h3>Key Takeaway</h3>
<p>Heart rate variability is a universal marker of resilience, translating metabolic stress, genetic vulnerability, and neural interventions into measurable physiological signals. HRV is no longer just a wellness metric—it's a clinical and scientific lens into autonomic health.</p>
<h3>Sponsor</h3>
<p>This episode is sponsored by <strong>Optimal HRV</strong>, providing evidence-based tools for measuring and training heart rate variability for individuals, clinicians, and organizations. Now offering <strong>e-gift cards</strong> for HRV training, app access, and professional dashboards.<br /> Learn more at <a href="http://www.optimalhrv.com">www.optimalhrv.com</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This Week in Heart Rate Variability: Metabolic Syndrome, Nerve Blocks, EDS & Autonomic Health
In this episode of The Heart Rate Variability Podcast – This Week in HRV, we explore how the autonomic nervous system function connects metabolic disease, genetic disorders, targeted neural interventions, and the future of biofeedback science.
Episode Highlights


How Metabolic Syndrome drives chronic sympathetic overactivation and reduced HRV


Experimental evidence showing how the stellate ganglion block directly alters HRV and sympathetic tone


New data validating dysautonomia in Ehlers–Danlos Syndrome using HRV and autonomic testing


Why HRV is emerging as a critical clinical and research biomarker


A preview of the 2026 AAPB Annual Scientific Meeting and why it matters for clinicians and researchers


Featured Studies & Resources


Cureus (2025) — Autonomic Nervous System Dysregulation in Metabolic Syndrome https://www.cureus.com/articles/431819-autonomic-nervous-system-dysregulation-in-metabolic-syndrome-an-association-with-hypertension-and-cardiovascular-risk#!/


Autonomic Neuroscience (2025) — Selective Sympathetic Action on HRV After Stellate Ganglion Block https://www.sciencedirect.com/science/article/abs/pii/S1566070225001298


Cureus (2025) — Heart Rate Variability and Intrinsic Autonomic Coupling in Ehlers–Danlos Syndrome https://www.cureus.com/articles/429326-heart-rate-variability-and-intrinsic-autonomic-coupling-in-ehlers-danlos-syndrome?score_article=true#!/


Association for Applied Psychophysiology and Biofeedback (AAPB) About AAPB: https://aapb.org/about 2026 Annual Conference: https://aapb.starchapter.com/meetinginfo.php?id=43&ts=1763415344


Key Takeaway
Heart rate variability is a universal marker of resilience, translating metabolic stress, genetic vulnerability, and neural interventions into measurable physiological signals. HRV is no longer just a wellness metric—it's a clinical and scientific lens into autonomic health.
Sponsor
This episode is sponsored by Optimal HRV, providing evidence-based tools for measuring and training heart rate variability for individuals, clinicians, and organizations. Now offering e-gift cards for HRV training, app access, and professional dashboards. Learn more at www.optimalhrv.com]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition - Episode 16]]>
                </itunes:title>
                                    <itunes:episode>16</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h2>This Week in Heart Rate Variability: Metabolic Syndrome, Nerve Blocks, EDS &amp; Autonomic Health</h2>
<p>In this episode of <em>The Heart Rate Variability Podcast – This Week in HRV</em>, we explore how the autonomic nervous system function connects metabolic disease, genetic disorders, targeted neural interventions, and the future of biofeedback science.</p>
<h3>Episode Highlights</h3>
<ul>
<li>
<p>How <strong>Metabolic Syndrome</strong> drives chronic sympathetic overactivation and reduced HRV</p>
</li>
<li>
<p>Experimental evidence showing how the <strong>stellate ganglion block</strong> directly alters HRV and sympathetic tone</p>
</li>
<li>
<p>New data validating <strong>dysautonomia in Ehlers–Danlos Syndrome</strong> using HRV and autonomic testing</p>
</li>
<li>
<p>Why HRV is emerging as a critical <strong>clinical and research biomarker</strong></p>
</li>
<li>
<p>A preview of the <strong>2026 AAPB Annual Scientific Meeting</strong> and why it matters for clinicians and researchers</p>
</li>
</ul>
<h3>Featured Studies &amp; Resources</h3>
<ul>
<li>
<p><em>Cureus (2025)</em> — Autonomic Nervous System Dysregulation in Metabolic Syndrome<br /> <a href="https://www.cureus.com/articles/431819-autonomic-nervous-system-dysregulation-in-metabolic-syndrome-an-association-with-hypertension-and-cardiovascular-risk#!/">https://www.cureus.com/articles/431819-autonomic-nervous-system-dysregulation-in-metabolic-syndrome-an-association-with-hypertension-and-cardiovascular-risk#!/</a></p>
</li>
<li>
<p><em>Autonomic Neuroscience (2025)</em> — Selective Sympathetic Action on HRV After Stellate Ganglion Block<br /> <a href="https://www.sciencedirect.com/science/article/abs/pii/S1566070225001298">https://www.sciencedirect.com/science/article/abs/pii/S1566070225001298</a></p>
</li>
<li>
<p><em>Cureus (2025)</em> — Heart Rate Variability and Intrinsic Autonomic Coupling in Ehlers–Danlos Syndrome<br /> <a href="https://www.cureus.com/articles/429326-heart-rate-variability-and-intrinsic-autonomic-coupling-in-ehlers-danlos-syndrome?score_article=true#!/">https://www.cureus.com/articles/429326-heart-rate-variability-and-intrinsic-autonomic-coupling-in-ehlers-danlos-syndrome?score_article=true#!/</a></p>
</li>
<li>
<p><strong>Association for Applied Psychophysiology and Biofeedback (AAPB)</strong><br /> About AAPB: <a href="https://aapb.org/about">https://aapb.org/about</a><br /> 2026 Annual Conference: <a href="https://aapb.starchapter.com/meetinginfo.php?id=43&amp;ts=1763415344">https://aapb.starchapter.com/meetinginfo.php?id=43&amp;ts=1763415344</a></p>
</li>
</ul>
<h3>Key Takeaway</h3>
<p>Heart rate variability is a universal marker of resilience, translating metabolic stress, genetic vulnerability, and neural interventions into measurable physiological signals. HRV is no longer just a wellness metric—it's a clinical and scientific lens into autonomic health.</p>
<h3>Sponsor</h3>
<p>This episode is sponsored by <strong>Optimal HRV</strong>, providing evidence-based tools for measuring and training heart rate variability for individuals, clinicians, and organizations. Now offering <strong>e-gift cards</strong> for HRV training, app access, and professional dashboards.<br /> Learn more at <a href="http://www.optimalhrv.com">www.optimalhrv.com</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2289162/c1e-4wnxi1v24wuopwo9-ndvx1k0qt2jq-m1fa0b.mp3" length="15844605"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This Week in Heart Rate Variability: Metabolic Syndrome, Nerve Blocks, EDS & Autonomic Health
In this episode of The Heart Rate Variability Podcast – This Week in HRV, we explore how the autonomic nervous system function connects metabolic disease, genetic disorders, targeted neural interventions, and the future of biofeedback science.
Episode Highlights


How Metabolic Syndrome drives chronic sympathetic overactivation and reduced HRV


Experimental evidence showing how the stellate ganglion block directly alters HRV and sympathetic tone


New data validating dysautonomia in Ehlers–Danlos Syndrome using HRV and autonomic testing


Why HRV is emerging as a critical clinical and research biomarker


A preview of the 2026 AAPB Annual Scientific Meeting and why it matters for clinicians and researchers


Featured Studies & Resources


Cureus (2025) — Autonomic Nervous System Dysregulation in Metabolic Syndrome https://www.cureus.com/articles/431819-autonomic-nervous-system-dysregulation-in-metabolic-syndrome-an-association-with-hypertension-and-cardiovascular-risk#!/


Autonomic Neuroscience (2025) — Selective Sympathetic Action on HRV After Stellate Ganglion Block https://www.sciencedirect.com/science/article/abs/pii/S1566070225001298


Cureus (2025) — Heart Rate Variability and Intrinsic Autonomic Coupling in Ehlers–Danlos Syndrome https://www.cureus.com/articles/429326-heart-rate-variability-and-intrinsic-autonomic-coupling-in-ehlers-danlos-syndrome?score_article=true#!/


Association for Applied Psychophysiology and Biofeedback (AAPB) About AAPB: https://aapb.org/about 2026 Annual Conference: https://aapb.starchapter.com/meetinginfo.php?id=43&ts=1763415344


Key Takeaway
Heart rate variability is a universal marker of resilience, translating metabolic stress, genetic vulnerability, and neural interventions into measurable physiological signals. HRV is no longer just a wellness metric—it's a clinical and scientific lens into autonomic health.
Sponsor
This episode is sponsored by Optimal HRV, providing evidence-based tools for measuring and training heart rate variability for individuals, clinicians, and organizations. Now offering e-gift cards for HRV training, app access, and professional dashboards. Learn more at www.optimalhrv.com]]>
                </itunes:summary>
                                                                            <itunes:duration>00:16:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition - Episode 15]]>
                </title>
                <pubDate>Tue, 09 Dec 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
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                                <description>
                                            <![CDATA[<p><strong>Episode 15 – This Week in Heart Rate Variability</strong></p>
<p>Welcome to this week's exploration of the latest HRV science. In Episode 15, we discuss nine newly published studies that expand our understanding of HRV in mental health, physiology, chronic illness, and digital health innovation. This episode highlights remote biofeedback, pediatric heart dynamics, pregnancy and thyroid status, elite performance, cardiac rehabilitation, personalized training prediction, global research trends, autoimmune flare detection, and neurostimulation safety.</p>
<p><strong>Featured Studies:</strong></p>
<ol>
<li>
<p><strong>Remote HRV Biofeedback and Mental Health</strong></p>
<ul>
<li>
<p>“Efficacy and Methodology of Remote Heart Rate Variability Biofeedback Interventions for Mental Health: A Systematic Review and Meta-Analysis”</p>
</li>
<li>
<p>Vann-Adibe et al., Applied Psychophysiology and Biofeedback (2025)</p>
</li>
<li>
<p><a href="https://link.springer.com/article/10.1007/s10484-025-09750-w">https://link.springer.com/article/10.1007/s10484-025-09750-w</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Pediatric HRV and Cardiac Complexity</strong></p>
<ul>
<li>
<p>“Age-dependent patterns of cardiac complexity unveiled by topological data analysis of pediatric heart rate variability”</p>
</li>
<li>
<p>Domínguez-Monterroza et al., PLOS ONE (2025)</p>
</li>
<li>
<p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337620">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337620</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Subclinical Hypothyroidism in Pregnancy and HRV</strong></p>
<ul>
<li>
<p>“Comparative Evaluation of Thyroid Profiles and Heart Rate Variability in Newly Diagnosed Subclinical Hypothyroid and Euthyroid Pregnant Women”</p>
</li>
<li>
<p>Singh et al., Cureus (2025)</p>
</li>
<li>
<p><a href="https://www.cureus.com/articles/427419-comparative-evaluation-of-thyroid-profiles-and-heart-rate-variability-in-newly-diagnosed-subclinical-hypothyroid-and-euthyroid-pregnant-women?score_article=true#!/">https://www.cureus.com/articles/427419-comparative-evaluation-of-thyroid-profiles-and-heart-rate-variability-in-newly-diagnosed-subclinical-hypothyroid-and-euthyroid-pregnant-women?score_article=true#!/</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Performance Optimization in Firefighters</strong></p>
<ul>
<li>
<p>“Mental imagery and breathing exercises integrated into a standardized warm-up routine enhance sympathetic activation and optimize muscular performance in firefighters”</p>
</li>
<li>
<p>Biéchy et al., PLOS ONE (2025)</p>
</li>
<li>
<p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337431">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337431</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Innovative Respiratory-Synchronized Pacemaker</strong></p>
<ul>
<li>
<p>University of Auckland research feature: “Pacemaker could help the heart heal”</p>
</li>
<li>
<p>Paton, Ben-Tal, Nogaret, and Stiles</p>
</li>
<li>
<p><a href="https://www.auckland.ac.nz/en/news/2025/12/02/pacemaker-could-help-heart-heal.html">https://www.auckland.ac.nz/en/news/2025/12/02/pacemaker-could-help-heart-heal.html</a></p>
</li>
</ul>
</li>
<li>
<p><strong>HRV and Personalized Fitness Modeling</strong></p>
<ul>
<li>
<p>“Advancing training effectiveness prediction in mass sport through longitudinal data: A mathematical model approach based on the Fitness-Fatigue Model”</p>
</li>
<li>
<p>Wang et al., PLOS ONE (2025)</p>
</li>
<li>
<p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337824">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337824</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Global Trends in HRV Research</strong></p>
<ul>
<li>
<p>“A Two-Decade Bibliometric Analysis of Heart Rate Variability Research (2005–2024)”</p>
</li>
<li>
<p>Sharma et al., Psychiatry Research (2025)</p>
</li>
<li>
<p><a></a></p></li></ul></li></ol>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Episode 15 – This Week in Heart Rate Variability
Welcome to this week's exploration of the latest HRV science. In Episode 15, we discuss nine newly published studies that expand our understanding of HRV in mental health, physiology, chronic illness, and digital health innovation. This episode highlights remote biofeedback, pediatric heart dynamics, pregnancy and thyroid status, elite performance, cardiac rehabilitation, personalized training prediction, global research trends, autoimmune flare detection, and neurostimulation safety.
Featured Studies:


Remote HRV Biofeedback and Mental Health


“Efficacy and Methodology of Remote Heart Rate Variability Biofeedback Interventions for Mental Health: A Systematic Review and Meta-Analysis”


Vann-Adibe et al., Applied Psychophysiology and Biofeedback (2025)


https://link.springer.com/article/10.1007/s10484-025-09750-w




Pediatric HRV and Cardiac Complexity


“Age-dependent patterns of cardiac complexity unveiled by topological data analysis of pediatric heart rate variability”


Domínguez-Monterroza et al., PLOS ONE (2025)


https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337620




Subclinical Hypothyroidism in Pregnancy and HRV


“Comparative Evaluation of Thyroid Profiles and Heart Rate Variability in Newly Diagnosed Subclinical Hypothyroid and Euthyroid Pregnant Women”


Singh et al., Cureus (2025)


https://www.cureus.com/articles/427419-comparative-evaluation-of-thyroid-profiles-and-heart-rate-variability-in-newly-diagnosed-subclinical-hypothyroid-and-euthyroid-pregnant-women?score_article=true#!/




Performance Optimization in Firefighters


“Mental imagery and breathing exercises integrated into a standardized warm-up routine enhance sympathetic activation and optimize muscular performance in firefighters”


Biéchy et al., PLOS ONE (2025)


https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337431




Innovative Respiratory-Synchronized Pacemaker


University of Auckland research feature: “Pacemaker could help the heart heal”


Paton, Ben-Tal, Nogaret, and Stiles


https://www.auckland.ac.nz/en/news/2025/12/02/pacemaker-could-help-heart-heal.html




HRV and Personalized Fitness Modeling


“Advancing training effectiveness prediction in mass sport through longitudinal data: A mathematical model approach based on the Fitness-Fatigue Model”


Wang et al., PLOS ONE (2025)


https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337824




Global Trends in HRV Research


“A Two-Decade Bibliometric Analysis of Heart Rate Variability Research (2005–2024)”


Sharma et al., Psychiatry Research (2025)


]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition - Episode 15]]>
                </itunes:title>
                                    <itunes:episode>15</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>Episode 15 – This Week in Heart Rate Variability</strong></p>
<p>Welcome to this week's exploration of the latest HRV science. In Episode 15, we discuss nine newly published studies that expand our understanding of HRV in mental health, physiology, chronic illness, and digital health innovation. This episode highlights remote biofeedback, pediatric heart dynamics, pregnancy and thyroid status, elite performance, cardiac rehabilitation, personalized training prediction, global research trends, autoimmune flare detection, and neurostimulation safety.</p>
<p><strong>Featured Studies:</strong></p>
<ol>
<li>
<p><strong>Remote HRV Biofeedback and Mental Health</strong></p>
<ul>
<li>
<p>“Efficacy and Methodology of Remote Heart Rate Variability Biofeedback Interventions for Mental Health: A Systematic Review and Meta-Analysis”</p>
</li>
<li>
<p>Vann-Adibe et al., Applied Psychophysiology and Biofeedback (2025)</p>
</li>
<li>
<p><a href="https://link.springer.com/article/10.1007/s10484-025-09750-w">https://link.springer.com/article/10.1007/s10484-025-09750-w</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Pediatric HRV and Cardiac Complexity</strong></p>
<ul>
<li>
<p>“Age-dependent patterns of cardiac complexity unveiled by topological data analysis of pediatric heart rate variability”</p>
</li>
<li>
<p>Domínguez-Monterroza et al., PLOS ONE (2025)</p>
</li>
<li>
<p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337620">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337620</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Subclinical Hypothyroidism in Pregnancy and HRV</strong></p>
<ul>
<li>
<p>“Comparative Evaluation of Thyroid Profiles and Heart Rate Variability in Newly Diagnosed Subclinical Hypothyroid and Euthyroid Pregnant Women”</p>
</li>
<li>
<p>Singh et al., Cureus (2025)</p>
</li>
<li>
<p><a href="https://www.cureus.com/articles/427419-comparative-evaluation-of-thyroid-profiles-and-heart-rate-variability-in-newly-diagnosed-subclinical-hypothyroid-and-euthyroid-pregnant-women?score_article=true#!/">https://www.cureus.com/articles/427419-comparative-evaluation-of-thyroid-profiles-and-heart-rate-variability-in-newly-diagnosed-subclinical-hypothyroid-and-euthyroid-pregnant-women?score_article=true#!/</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Performance Optimization in Firefighters</strong></p>
<ul>
<li>
<p>“Mental imagery and breathing exercises integrated into a standardized warm-up routine enhance sympathetic activation and optimize muscular performance in firefighters”</p>
</li>
<li>
<p>Biéchy et al., PLOS ONE (2025)</p>
</li>
<li>
<p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337431">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337431</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Innovative Respiratory-Synchronized Pacemaker</strong></p>
<ul>
<li>
<p>University of Auckland research feature: “Pacemaker could help the heart heal”</p>
</li>
<li>
<p>Paton, Ben-Tal, Nogaret, and Stiles</p>
</li>
<li>
<p><a href="https://www.auckland.ac.nz/en/news/2025/12/02/pacemaker-could-help-heart-heal.html">https://www.auckland.ac.nz/en/news/2025/12/02/pacemaker-could-help-heart-heal.html</a></p>
</li>
</ul>
</li>
<li>
<p><strong>HRV and Personalized Fitness Modeling</strong></p>
<ul>
<li>
<p>“Advancing training effectiveness prediction in mass sport through longitudinal data: A mathematical model approach based on the Fitness-Fatigue Model”</p>
</li>
<li>
<p>Wang et al., PLOS ONE (2025)</p>
</li>
<li>
<p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337824">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337824</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Global Trends in HRV Research</strong></p>
<ul>
<li>
<p>“A Two-Decade Bibliometric Analysis of Heart Rate Variability Research (2005–2024)”</p>
</li>
<li>
<p>Sharma et al., Psychiatry Research (2025)</p>
</li>
<li>
<p><a href="https://www.sciencedirect.com/science/article/pii/S1471015325001254?dgcid=author">https://www.sciencedirect.com/science/article/pii/S1471015325001254?dgcid=author</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Predicting Rheumatoid Arthritis Flares with Wearables</strong></p>
<ul>
<li>
<p>“Wearable devices detect physiological changes that precede and are associated with symptomatic and inflammatory rheumatoid arthritis flares”</p>
</li>
<li>
<p>Sharma et al., Scientific Reports (2025)</p>
</li>
<li>
<p><a href="https://www.nature.com/articles/s41598-025-29748-y">https://www.nature.com/articles/s41598-025-29748-y</a></p>
</li>
</ul>
</li>
<li>
<p><strong>Safety of Paired Associative Stimulation in SCI Rehab</strong></p>
<ul>
<li>
<p>“Heart rate variability in patients with incomplete spinal cord injury during a single session of paired associative stimulation”</p>
</li>
<li>
<p>Haakana et al., Scientific Reports (2025)</p>
</li>
<li>
<p><a href="https://www.nature.com/articles/s41598-025-25802-x" style="background-color:#ffffff;">https://www.nature.com/articles/s41598-025-25802-x</a></p>
</li>
</ul>
</li>
</ol>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Episode 15 – This Week in Heart Rate Variability
Welcome to this week's exploration of the latest HRV science. In Episode 15, we discuss nine newly published studies that expand our understanding of HRV in mental health, physiology, chronic illness, and digital health innovation. This episode highlights remote biofeedback, pediatric heart dynamics, pregnancy and thyroid status, elite performance, cardiac rehabilitation, personalized training prediction, global research trends, autoimmune flare detection, and neurostimulation safety.
Featured Studies:


Remote HRV Biofeedback and Mental Health


“Efficacy and Methodology of Remote Heart Rate Variability Biofeedback Interventions for Mental Health: A Systematic Review and Meta-Analysis”


Vann-Adibe et al., Applied Psychophysiology and Biofeedback (2025)


https://link.springer.com/article/10.1007/s10484-025-09750-w




Pediatric HRV and Cardiac Complexity


“Age-dependent patterns of cardiac complexity unveiled by topological data analysis of pediatric heart rate variability”


Domínguez-Monterroza et al., PLOS ONE (2025)


https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337620




Subclinical Hypothyroidism in Pregnancy and HRV


“Comparative Evaluation of Thyroid Profiles and Heart Rate Variability in Newly Diagnosed Subclinical Hypothyroid and Euthyroid Pregnant Women”


Singh et al., Cureus (2025)


https://www.cureus.com/articles/427419-comparative-evaluation-of-thyroid-profiles-and-heart-rate-variability-in-newly-diagnosed-subclinical-hypothyroid-and-euthyroid-pregnant-women?score_article=true#!/




Performance Optimization in Firefighters


“Mental imagery and breathing exercises integrated into a standardized warm-up routine enhance sympathetic activation and optimize muscular performance in firefighters”


Biéchy et al., PLOS ONE (2025)


https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337431




Innovative Respiratory-Synchronized Pacemaker


University of Auckland research feature: “Pacemaker could help the heart heal”


Paton, Ben-Tal, Nogaret, and Stiles


https://www.auckland.ac.nz/en/news/2025/12/02/pacemaker-could-help-heart-heal.html




HRV and Personalized Fitness Modeling


“Advancing training effectiveness prediction in mass sport through longitudinal data: A mathematical model approach based on the Fitness-Fatigue Model”


Wang et al., PLOS ONE (2025)


https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0337824




Global Trends in HRV Research


“A Two-Decade Bibliometric Analysis of Heart Rate Variability Research (2005–2024)”


Sharma et al., Psychiatry Research (2025)


]]>
                </itunes:summary>
                                                                            <itunes:duration>00:33:34</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Richard Harris Discusses his Research with HRV and Integrative Medicine]]>
                </title>
                <pubDate>Thu, 04 Dec 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2235150</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-richard-harris-discusses-his-research-with-hrv-and-integrative-medicine</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett talks with Dr. Richard Harris about his article: Single-case report: dynamic changes in cardiac function during shamanic journeying and Qigong meditation</p>
<p>Read the full article here: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1608442/full</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett talks with Dr. Richard Harris about his article: Single-case report: dynamic changes in cardiac function during shamanic journeying and Qigong meditation
Read the full article here: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1608442/full]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Richard Harris Discusses his Research with HRV and Integrative Medicine]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett talks with Dr. Richard Harris about his article: Single-case report: dynamic changes in cardiac function during shamanic journeying and Qigong meditation</p>
<p>Read the full article here: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1608442/full</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett talks with Dr. Richard Harris about his article: Single-case report: dynamic changes in cardiac function during shamanic journeying and Qigong meditation
Read the full article here: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1608442/full]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2235150/c1a-rqx3-6zq75z41b77-gguwco.png"></itunes:image>
                                                                            <itunes:duration>00:36:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition - Episode 14]]>
                </title>
                <pubDate>Tue, 02 Dec 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2263085</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-14</link>
                                <description>
                                            <![CDATA[<p>In this episode, we dive deep into the latest research from late 2025 and explore the exploding field of Psychophysiology. We look at how Heart Rate Variability (HRV) is becoming the "master key" for detecting everything from complex emotions to psychosis. We also break down a massive new study on how antidepressants shift your physical metabolism, the effectiveness of "light-guided" breathing for office stress, and how VR gaming affects your autonomic nervous system.</p>
<p><b>Links &amp; Resources Mentioned:</b></p>
<p><b>Clinical Psychiatry &amp; Pharmacology</b></p>
<ul>
<li style="font-weight:400;"><b>Article:</b><a href="https://conexiant.com/psychiatry/articles/which-antidepressants-shift-physiology/"> Which Antidepressants Shift Physiology?</a> (Conexiant)<ul>
<li style="font-weight:400;"><i>Takeaway:</i> A look at how different antidepressant classes impact weight, blood pressure, and heart rate.</li>
</ul></li>

<li style="font-weight:400;"><b>Paper:</b><a href="https://www.worldscientific.com/doi/10.1142/S0129065725500649"> Reducing Artifact Preprocessing in HRV-Based Personalized Psychosis Prediction</a> (World Scientific)<ul>
<li style="font-weight:400;"><i>Takeaway:</i> Using AI to predict psychosis directly from wearable data.</li>
</ul></li>

</ul>
<p><b>Breathing &amp; Interventions</b></p>
<ul>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.nature.com/articles/s41598-025-24813-y"> Light-guided resonant breathing enhances psychophysiological stress recovery in a simulated office environment</a> (Nature Scientific Reports)</li>
<li style="font-weight:400;"><b>Paper:</b><a href="https://gpsych.bmj.com/content/38/6/e102357"> Resonant breathing in hospitalised psychiatric patients with persistent somatic symptoms</a> (General Psychiatry / BMJ)</li>
</ul>
<p><b>The Science of Stress &amp; Emotion (HRV)</b></p>
<ul>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.nature.com/articles/s41598-025-28090-7"> Measures of the psychophysiological response to recurrent anticipatory stress - the influence of neuroticism</a> (Nature Scientific Reports)</li>
<li style="font-weight:400;"><b>Paper:</b><a href="https://link.springer.com/article/10.1186/s40101-025-00413-7"> Heart rate variability reveals graded task difficulty effects and sensitization dynamics</a> (Springer / J. Physiol. Anthropol.)</li>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.mdpi.com/2227-9032/13/23/3036?utm_source=researchgate.net&amp;utm_medium=article"> HRV-Based Recognition of Complex Emotions: Feature Identification</a> (MDPI Healthcare)</li>
</ul>
<p><b>Physiology in Action (VR &amp; Exercise)</b></p>
<ul>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.mdpi.com/2227-7080/13/12/545"> Impact of Stereoscopic Technologies on Heart Rate Variability in Extreme VR Gaming Conditions</a> (MDPI Technologies)</li>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.nature.com/articles/s41598-025-25132-y"> A controlled comparative study on the effect of arterial occlusion pressure on immediate sympathetic responses</a> (Nature Scientific Reports)</li>
</ul>
<p></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, we dive deep into the latest research from late 2025 and explore the exploding field of Psychophysiology. We look at how Heart Rate Variability (HRV) is becoming the "master key" for detecting everything from complex emotions to psychosis. We also break down a massive new study on how antidepressants shift your physical metabolism, the effectiveness of "light-guided" breathing for office stress, and how VR gaming affects your autonomic nervous system.
Links & Resources Mentioned:
Clinical Psychiatry & Pharmacology

Article: Which Antidepressants Shift Physiology? (Conexiant)
Takeaway: A look at how different antidepressant classes impact weight, blood pressure, and heart rate.


Paper: Reducing Artifact Preprocessing in HRV-Based Personalized Psychosis Prediction (World Scientific)
Takeaway: Using AI to predict psychosis directly from wearable data.



Breathing & Interventions

Paper: Light-guided resonant breathing enhances psychophysiological stress recovery in a simulated office environment (Nature Scientific Reports)
Paper: Resonant breathing in hospitalised psychiatric patients with persistent somatic symptoms (General Psychiatry / BMJ)

The Science of Stress & Emotion (HRV)

Paper: Measures of the psychophysiological response to recurrent anticipatory stress - the influence of neuroticism (Nature Scientific Reports)
Paper: Heart rate variability reveals graded task difficulty effects and sensitization dynamics (Springer / J. Physiol. Anthropol.)
Paper: HRV-Based Recognition of Complex Emotions: Feature Identification (MDPI Healthcare)

Physiology in Action (VR & Exercise)

Paper: Impact of Stereoscopic Technologies on Heart Rate Variability in Extreme VR Gaming Conditions (MDPI Technologies)
Paper: A controlled comparative study on the effect of arterial occlusion pressure on immediate sympathetic responses (Nature Scientific Reports)

]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition - Episode 14]]>
                </itunes:title>
                                    <itunes:episode>14</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, we dive deep into the latest research from late 2025 and explore the exploding field of Psychophysiology. We look at how Heart Rate Variability (HRV) is becoming the "master key" for detecting everything from complex emotions to psychosis. We also break down a massive new study on how antidepressants shift your physical metabolism, the effectiveness of "light-guided" breathing for office stress, and how VR gaming affects your autonomic nervous system.</p>
<p><b>Links &amp; Resources Mentioned:</b></p>
<p><b>Clinical Psychiatry &amp; Pharmacology</b></p>
<ul>
<li style="font-weight:400;"><b>Article:</b><a href="https://conexiant.com/psychiatry/articles/which-antidepressants-shift-physiology/"> Which Antidepressants Shift Physiology?</a> (Conexiant)<ul>
<li style="font-weight:400;"><i>Takeaway:</i> A look at how different antidepressant classes impact weight, blood pressure, and heart rate.</li>
</ul></li>

<li style="font-weight:400;"><b>Paper:</b><a href="https://www.worldscientific.com/doi/10.1142/S0129065725500649"> Reducing Artifact Preprocessing in HRV-Based Personalized Psychosis Prediction</a> (World Scientific)<ul>
<li style="font-weight:400;"><i>Takeaway:</i> Using AI to predict psychosis directly from wearable data.</li>
</ul></li>

</ul>
<p><b>Breathing &amp; Interventions</b></p>
<ul>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.nature.com/articles/s41598-025-24813-y"> Light-guided resonant breathing enhances psychophysiological stress recovery in a simulated office environment</a> (Nature Scientific Reports)</li>
<li style="font-weight:400;"><b>Paper:</b><a href="https://gpsych.bmj.com/content/38/6/e102357"> Resonant breathing in hospitalised psychiatric patients with persistent somatic symptoms</a> (General Psychiatry / BMJ)</li>
</ul>
<p><b>The Science of Stress &amp; Emotion (HRV)</b></p>
<ul>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.nature.com/articles/s41598-025-28090-7"> Measures of the psychophysiological response to recurrent anticipatory stress - the influence of neuroticism</a> (Nature Scientific Reports)</li>
<li style="font-weight:400;"><b>Paper:</b><a href="https://link.springer.com/article/10.1186/s40101-025-00413-7"> Heart rate variability reveals graded task difficulty effects and sensitization dynamics</a> (Springer / J. Physiol. Anthropol.)</li>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.mdpi.com/2227-9032/13/23/3036?utm_source=researchgate.net&amp;utm_medium=article"> HRV-Based Recognition of Complex Emotions: Feature Identification</a> (MDPI Healthcare)</li>
</ul>
<p><b>Physiology in Action (VR &amp; Exercise)</b></p>
<ul>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.mdpi.com/2227-7080/13/12/545"> Impact of Stereoscopic Technologies on Heart Rate Variability in Extreme VR Gaming Conditions</a> (MDPI Technologies)</li>
<li style="font-weight:400;"><b>Paper:</b><a href="https://www.nature.com/articles/s41598-025-25132-y"> A controlled comparative study on the effect of arterial occlusion pressure on immediate sympathetic responses</a> (Nature Scientific Reports)</li>
</ul>
<p></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2263085/c1e-998qfd71knadvmd0-0v7wzw79aqx0-76brnw.mp3" length="15961216"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, we dive deep into the latest research from late 2025 and explore the exploding field of Psychophysiology. We look at how Heart Rate Variability (HRV) is becoming the "master key" for detecting everything from complex emotions to psychosis. We also break down a massive new study on how antidepressants shift your physical metabolism, the effectiveness of "light-guided" breathing for office stress, and how VR gaming affects your autonomic nervous system.
Links & Resources Mentioned:
Clinical Psychiatry & Pharmacology

Article: Which Antidepressants Shift Physiology? (Conexiant)
Takeaway: A look at how different antidepressant classes impact weight, blood pressure, and heart rate.


Paper: Reducing Artifact Preprocessing in HRV-Based Personalized Psychosis Prediction (World Scientific)
Takeaway: Using AI to predict psychosis directly from wearable data.



Breathing & Interventions

Paper: Light-guided resonant breathing enhances psychophysiological stress recovery in a simulated office environment (Nature Scientific Reports)
Paper: Resonant breathing in hospitalised psychiatric patients with persistent somatic symptoms (General Psychiatry / BMJ)

The Science of Stress & Emotion (HRV)

Paper: Measures of the psychophysiological response to recurrent anticipatory stress - the influence of neuroticism (Nature Scientific Reports)
Paper: Heart rate variability reveals graded task difficulty effects and sensitization dynamics (Springer / J. Physiol. Anthropol.)
Paper: HRV-Based Recognition of Complex Emotions: Feature Identification (MDPI Healthcare)

Physiology in Action (VR & Exercise)

Paper: Impact of Stereoscopic Technologies on Heart Rate Variability in Extreme VR Gaming Conditions (MDPI Technologies)
Paper: A controlled comparative study on the effect of arterial occlusion pressure on immediate sympathetic responses (Nature Scientific Reports)

]]>
                </itunes:summary>
                                                                            <itunes:duration>00:16:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition - Episode 13]]>
                </title>
                <pubDate>Tue, 25 Nov 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2243972</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-13</link>
                                <description>
                                            <![CDATA[<p><strong>This Week’s Studies:</strong></p>
<ol>
<li>
<p><strong>Cardiac-vagal rhythm echoes on the heartbeat's mechanosensory imprint in the brain</strong><br /> <em>Candia-Rivera &amp; Chavez — Communications Biology</em><br /> <a href="https://www.nature.com/articles/s42003-025-08969-x">https://www.nature.com/articles/s42003-025-08969-x</a></p>
</li>
<li>
<p><strong>Box breathing or six breaths per minute: Which strategy improves athletes' post-HIIT cardiovascular recovery?</strong><br /> <em>Kasap &amp; Aydin — PLOS ONE</em><br /> <a href="https://doi.org/10.1371/journal.pone.0336615">https://doi.org/10.1371/journal.pone.0336615</a></p>
</li>
<li>
<p><strong>The tolerance-related psychology and dynamic activity in the peripheral nervous system of Internet Gaming Disorder</strong><br /> <em>Chi &amp; Hsiao — BioMedical Engineering Online</em><br /> <a href="https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-025-01471-9">https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-025-01471-9</a></p>
</li>
<li>
<p><strong>Heart rate variability biofeedback in adults with chronic spinal cord injury: a randomised feasibility study</strong><br /> <em>Schoffl et al. — BMC Neurology</em><br /> <a href="https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-025-04423-x">https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-025-04423-x</a></p>
</li>
</ol>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This Week’s Studies:


Cardiac-vagal rhythm echoes on the heartbeat's mechanosensory imprint in the brain Candia-Rivera & Chavez — Communications Biology https://www.nature.com/articles/s42003-025-08969-x


Box breathing or six breaths per minute: Which strategy improves athletes' post-HIIT cardiovascular recovery? Kasap & Aydin — PLOS ONE https://doi.org/10.1371/journal.pone.0336615


The tolerance-related psychology and dynamic activity in the peripheral nervous system of Internet Gaming Disorder Chi & Hsiao — BioMedical Engineering Online https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-025-01471-9


Heart rate variability biofeedback in adults with chronic spinal cord injury: a randomised feasibility study Schoffl et al. — BMC Neurology https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-025-04423-x

]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition - Episode 13]]>
                </itunes:title>
                                    <itunes:episode>13</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>This Week’s Studies:</strong></p>
<ol>
<li>
<p><strong>Cardiac-vagal rhythm echoes on the heartbeat's mechanosensory imprint in the brain</strong><br /> <em>Candia-Rivera &amp; Chavez — Communications Biology</em><br /> <a href="https://www.nature.com/articles/s42003-025-08969-x">https://www.nature.com/articles/s42003-025-08969-x</a></p>
</li>
<li>
<p><strong>Box breathing or six breaths per minute: Which strategy improves athletes' post-HIIT cardiovascular recovery?</strong><br /> <em>Kasap &amp; Aydin — PLOS ONE</em><br /> <a href="https://doi.org/10.1371/journal.pone.0336615">https://doi.org/10.1371/journal.pone.0336615</a></p>
</li>
<li>
<p><strong>The tolerance-related psychology and dynamic activity in the peripheral nervous system of Internet Gaming Disorder</strong><br /> <em>Chi &amp; Hsiao — BioMedical Engineering Online</em><br /> <a href="https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-025-01471-9">https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-025-01471-9</a></p>
</li>
<li>
<p><strong>Heart rate variability biofeedback in adults with chronic spinal cord injury: a randomised feasibility study</strong><br /> <em>Schoffl et al. — BMC Neurology</em><br /> <a href="https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-025-04423-x">https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-025-04423-x</a></p>
</li>
</ol>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2243972/c1e-x6n4a9z1z2t010ox-5zd25vnjbnrr-lerdww.mp3" length="15837172"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This Week’s Studies:


Cardiac-vagal rhythm echoes on the heartbeat's mechanosensory imprint in the brain Candia-Rivera & Chavez — Communications Biology https://www.nature.com/articles/s42003-025-08969-x


Box breathing or six breaths per minute: Which strategy improves athletes' post-HIIT cardiovascular recovery? Kasap & Aydin — PLOS ONE https://doi.org/10.1371/journal.pone.0336615


The tolerance-related psychology and dynamic activity in the peripheral nervous system of Internet Gaming Disorder Chi & Hsiao — BioMedical Engineering Online https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-025-01471-9


Heart rate variability biofeedback in adults with chronic spinal cord injury: a randomised feasibility study Schoffl et al. — BMC Neurology https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-025-04423-x

]]>
                </itunes:summary>
                                                                            <itunes:duration>00:10:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Stephanie White talks Very High Frequency HRV]]>
                </title>
                <pubDate>Thu, 20 Nov 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2171210</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/stephanie-white-talks-very-high-frequency-hrv</link>
                                <description>
                                            <![CDATA[<p>Video link: <a href="https://youtu.be/3vn_TF-ezTE">https://youtu.be/3vn_TF-ezTE</a></p>
<p> </p>
<p>In this episode of <em>The Heart Rate Variability Podcast</em>, host <strong>Matt Bennett</strong> sits down once again with <strong>Stephanie White</strong>, HRV coach and educator known affectionately as “the HRV Guru.” Together, they dive deep into advanced heart rate variability concepts—especially <strong>heart rate fragmentation (HRF)</strong>, <strong>very high frequency (VHF)</strong> activity, and new HRV metrics that can reveal hidden issues in autonomic health.</p>
<p>Stephanie shares insights from her work with clinicians, coaches, and patients—explaining why sometimes clients can’t reach the “Optimal Zone” in the Optimal HRV app and what physiological patterns might be behind it. She also outlines the <strong>importance of minerals, CO₂ balance, and careful data interpretation</strong> when working with HRV readings.</p>
<hr />
<h2> Key Topics Covered</h2>
<ul>
<li>
<p><strong>Stephanie’s Background</strong> – Her recovery journey from chronic illness using HRV biofeedback and her work with VCU’s Comprehensive Autonomic Center.</p>
</li>
<li>
<p><strong>Why HRV Data Sometimes “Doesn’t Make Sense”</strong> – How heart rate fragmentation can hijack HRV signals and confuse traditional measures like RMSSD.</p>
</li>
<li>
<p><strong>RMSSD vs. SDNN</strong> – Why SDNN may better capture resonance frequency breathing and coherent sine wave patterns.</p>
</li>
<li>
<p><strong>Understanding Heart Rate Fragmentation (HRF)</strong> – How alternating or sawtooth heart rhythms create misleading HRV statistics and mask underlying autonomic issues.</p>
</li>
<li>
<p><strong>Introducing “Very High Frequency (VHF)”</strong> – What happens when HRF shifts heart power above 0.4 Hz, and why current HRV software often misses it.</p>
</li>
<li>
<p><strong>The Role of CVNN and PSS</strong> – New or underused HRV metrics that can quantify fatigue, allostatic load, and fragmentation.</p>
</li>
<li>
<p><strong>Practical Clinical Applications</strong> – How coaches and clinicians can identify HRF, interpret data accurately, and help clients avoid “false high” HRV readings.</p>
</li>
<li>
<p><strong>Mineral Balance and HRV Health</strong> – Why calcium, sodium, potassium, and magnesium are crucial for healthy cardiac rhythm and recovery.</p>
</li>
<li>
<p><strong>Building an HRV Coaching Certification Pathway</strong> – Stephanie’s vision for “HRV Behavioral Health Coaches” and measurable, data-driven client progress.</p>
</li>
</ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Video link: https://youtu.be/3vn_TF-ezTE
 
In this episode of The Heart Rate Variability Podcast, host Matt Bennett sits down once again with Stephanie White, HRV coach and educator known affectionately as “the HRV Guru.” Together, they dive deep into advanced heart rate variability concepts—especially heart rate fragmentation (HRF), very high frequency (VHF) activity, and new HRV metrics that can reveal hidden issues in autonomic health.
Stephanie shares insights from her work with clinicians, coaches, and patients—explaining why sometimes clients can’t reach the “Optimal Zone” in the Optimal HRV app and what physiological patterns might be behind it. She also outlines the importance of minerals, CO₂ balance, and careful data interpretation when working with HRV readings.

 Key Topics Covered


Stephanie’s Background – Her recovery journey from chronic illness using HRV biofeedback and her work with VCU’s Comprehensive Autonomic Center.


Why HRV Data Sometimes “Doesn’t Make Sense” – How heart rate fragmentation can hijack HRV signals and confuse traditional measures like RMSSD.


RMSSD vs. SDNN – Why SDNN may better capture resonance frequency breathing and coherent sine wave patterns.


Understanding Heart Rate Fragmentation (HRF) – How alternating or sawtooth heart rhythms create misleading HRV statistics and mask underlying autonomic issues.


Introducing “Very High Frequency (VHF)” – What happens when HRF shifts heart power above 0.4 Hz, and why current HRV software often misses it.


The Role of CVNN and PSS – New or underused HRV metrics that can quantify fatigue, allostatic load, and fragmentation.


Practical Clinical Applications – How coaches and clinicians can identify HRF, interpret data accurately, and help clients avoid “false high” HRV readings.


Mineral Balance and HRV Health – Why calcium, sodium, potassium, and magnesium are crucial for healthy cardiac rhythm and recovery.


Building an HRV Coaching Certification Pathway – Stephanie’s vision for “HRV Behavioral Health Coaches” and measurable, data-driven client progress.

]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Stephanie White talks Very High Frequency HRV]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Video link: <a href="https://youtu.be/3vn_TF-ezTE">https://youtu.be/3vn_TF-ezTE</a></p>
<p> </p>
<p>In this episode of <em>The Heart Rate Variability Podcast</em>, host <strong>Matt Bennett</strong> sits down once again with <strong>Stephanie White</strong>, HRV coach and educator known affectionately as “the HRV Guru.” Together, they dive deep into advanced heart rate variability concepts—especially <strong>heart rate fragmentation (HRF)</strong>, <strong>very high frequency (VHF)</strong> activity, and new HRV metrics that can reveal hidden issues in autonomic health.</p>
<p>Stephanie shares insights from her work with clinicians, coaches, and patients—explaining why sometimes clients can’t reach the “Optimal Zone” in the Optimal HRV app and what physiological patterns might be behind it. She also outlines the <strong>importance of minerals, CO₂ balance, and careful data interpretation</strong> when working with HRV readings.</p>
<hr />
<h2> Key Topics Covered</h2>
<ul>
<li>
<p><strong>Stephanie’s Background</strong> – Her recovery journey from chronic illness using HRV biofeedback and her work with VCU’s Comprehensive Autonomic Center.</p>
</li>
<li>
<p><strong>Why HRV Data Sometimes “Doesn’t Make Sense”</strong> – How heart rate fragmentation can hijack HRV signals and confuse traditional measures like RMSSD.</p>
</li>
<li>
<p><strong>RMSSD vs. SDNN</strong> – Why SDNN may better capture resonance frequency breathing and coherent sine wave patterns.</p>
</li>
<li>
<p><strong>Understanding Heart Rate Fragmentation (HRF)</strong> – How alternating or sawtooth heart rhythms create misleading HRV statistics and mask underlying autonomic issues.</p>
</li>
<li>
<p><strong>Introducing “Very High Frequency (VHF)”</strong> – What happens when HRF shifts heart power above 0.4 Hz, and why current HRV software often misses it.</p>
</li>
<li>
<p><strong>The Role of CVNN and PSS</strong> – New or underused HRV metrics that can quantify fatigue, allostatic load, and fragmentation.</p>
</li>
<li>
<p><strong>Practical Clinical Applications</strong> – How coaches and clinicians can identify HRF, interpret data accurately, and help clients avoid “false high” HRV readings.</p>
</li>
<li>
<p><strong>Mineral Balance and HRV Health</strong> – Why calcium, sodium, potassium, and magnesium are crucial for healthy cardiac rhythm and recovery.</p>
</li>
<li>
<p><strong>Building an HRV Coaching Certification Pathway</strong> – Stephanie’s vision for “HRV Behavioral Health Coaches” and measurable, data-driven client progress.</p>
</li>
</ul>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2171210/c1e-qqkotd6nxzf7j5p9-okjzo19ks1j-ajtjls.mp3" length="57151747"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Video link: https://youtu.be/3vn_TF-ezTE
 
In this episode of The Heart Rate Variability Podcast, host Matt Bennett sits down once again with Stephanie White, HRV coach and educator known affectionately as “the HRV Guru.” Together, they dive deep into advanced heart rate variability concepts—especially heart rate fragmentation (HRF), very high frequency (VHF) activity, and new HRV metrics that can reveal hidden issues in autonomic health.
Stephanie shares insights from her work with clinicians, coaches, and patients—explaining why sometimes clients can’t reach the “Optimal Zone” in the Optimal HRV app and what physiological patterns might be behind it. She also outlines the importance of minerals, CO₂ balance, and careful data interpretation when working with HRV readings.

 Key Topics Covered


Stephanie’s Background – Her recovery journey from chronic illness using HRV biofeedback and her work with VCU’s Comprehensive Autonomic Center.


Why HRV Data Sometimes “Doesn’t Make Sense” – How heart rate fragmentation can hijack HRV signals and confuse traditional measures like RMSSD.


RMSSD vs. SDNN – Why SDNN may better capture resonance frequency breathing and coherent sine wave patterns.


Understanding Heart Rate Fragmentation (HRF) – How alternating or sawtooth heart rhythms create misleading HRV statistics and mask underlying autonomic issues.


Introducing “Very High Frequency (VHF)” – What happens when HRF shifts heart power above 0.4 Hz, and why current HRV software often misses it.


The Role of CVNN and PSS – New or underused HRV metrics that can quantify fatigue, allostatic load, and fragmentation.


Practical Clinical Applications – How coaches and clinicians can identify HRF, interpret data accurately, and help clients avoid “false high” HRV readings.


Mineral Balance and HRV Health – Why calcium, sodium, potassium, and magnesium are crucial for healthy cardiac rhythm and recovery.


Building an HRV Coaching Certification Pathway – Stephanie’s vision for “HRV Behavioral Health Coaches” and measurable, data-driven client progress.

]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2171210/c1a-rqx3-8doqx5ggtz6g-j82j4u.png"></itunes:image>
                                                                            <itunes:duration>00:56:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV - Episode 12]]>
                </title>
                <pubDate>Tue, 18 Nov 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2221854</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-12</link>
                                <description>
                                            <![CDATA[<h3><strong>Studies &amp; Resources Discussed</strong></h3>
<p><strong>Insomnia and HRV in Medical Students</strong><br /> <strong>Publication:</strong> <em>Cureus</em><br /> <strong>Title:</strong> <em>“Insomnia and Its Impact on Psychomotor Reactivity, Autonomic Function, and Psychological Well-Being Among Medical Students: A Cross-Sectional Analytical Study”</em><br /> <strong>Authors:</strong> Dhanusri, Rajalakshmi, Prakash, Bharadwaj, and Harichandrakumar<br /> <strong>Key Finding:</strong> The severity of insomnia among medical students was associated with slower reaction times and higher psychological distress, while short-term resting HRV remained largely unchanged. Early cognitive and mood changes appear before resting HRV declines, underscoring that subjective fatigue and attention lapses can be earlier indicators than RMSSD or SDNN.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://www.cureus.com/articles/427559-insomnia-and-its-impact-on-psychomotor-reactivity-autonomic-function-and-psychological-well-being-among-medical-students-a-cross-sectional-analytical-study#!/">https://www.cureus.com/articles/427559-insomnia-and-its-impact-on-psychomotor-reactivity-autonomic-function-and-psychological-well-being-among-medical-students-a-cross-sectional-analytical-study#!/</a></p>
<hr />
<p><strong>Meta-Analysis: HRV in Insomnia Disorder</strong><br /> <strong>Publication:</strong> <em>Sleep and Breathing</em><br /> <strong>Title:</strong> <em>“Heart rate variability in patients with insomnia disorder: a systematic review and meta-analysis”</em><br /> <strong>Authors:</strong> Zhao and Jiang<br /> <strong>Key Finding:</strong> Across 17 studies and 921 participants, insomnia showed only mild, non-significant reductions in HRV measures such as SDNN and HF-norm. The review emphasizes methodological variability and suggests that chronic insomnia’s autonomic signature is subtle and context-dependent.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://link.springer.com/article/10.1007/s11325-022-02720-0">https://link.springer.com/article/10.1007/s11325-022-02720-0</a></p>
<hr />
<p><strong>Sleep Deprivation and HRV</strong><br /> <strong>Publication:</strong> <em>Frontiers in Neurology</em><br /> <strong>Title:</strong> <em>“Effects of Sleep Deprivation on Heart Rate Variability: A Systematic Review and Meta-Analysis”</em><br /> <strong>Authors:</strong> Zhang, Niu, Ma, Wei, Zhang, and Du<br /> <strong>Key Finding:</strong> Eleven trials revealed consistent sympathetic dominance after sleep deprivation, as evidenced by decreased RMSSD, increased LF and LF/HF, and stable SDNN. These findings reinforce that RMSSD is the most sensitive marker of HRV for acute sleep loss and stress load.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full">https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full</a></p>
<hr />
<p><strong>COMISA: Insomnia and Sleep Apnea Combined</strong><br /> <strong>Publication:</strong> <em>Scientific Reports</em><br /> <strong>Title:</strong> <em>“Heart Rate Variability Analysis in Comorbid Insomnia and Sleep Apnea (COMISA)”</em><br /> <strong>Authors:</strong> Martín-Montero, Vaquerizo-Villar, García-Vicente, Gutiérrez-Tobal, Penzel, and Hornero<br /> <strong>Key Finding:</strong> Using over 5,000 overnight ECGs, COMISA patients showed reduced parasympathetic tone while awake and increased sympathetic drive during sleep. This dual imbalance likely explains elevated cardiovascular risk when both disorders coexist.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://www.nature.com/articles/s41598-025-02541-7">https://www.nature.com/articles/s41598-025-02541-7</a></p>
<hr />
<p><strong>Depression and HRV in Students</strong><br /> <strong>Publication:</strong> <em>Kompasiana</em><br /> <strong>Title:</strong> <em>“Diagnosis of Depressio...</em></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Studies & Resources Discussed
Insomnia and HRV in Medical Students Publication: Cureus Title: “Insomnia and Its Impact on Psychomotor Reactivity, Autonomic Function, and Psychological Well-Being Among Medical Students: A Cross-Sectional Analytical Study” Authors: Dhanusri, Rajalakshmi, Prakash, Bharadwaj, and Harichandrakumar Key Finding: The severity of insomnia among medical students was associated with slower reaction times and higher psychological distress, while short-term resting HRV remained largely unchanged. Early cognitive and mood changes appear before resting HRV declines, underscoring that subjective fatigue and attention lapses can be earlier indicators than RMSSD or SDNN. Link: https://www.cureus.com/articles/427559-insomnia-and-its-impact-on-psychomotor-reactivity-autonomic-function-and-psychological-well-being-among-medical-students-a-cross-sectional-analytical-study#!/

Meta-Analysis: HRV in Insomnia Disorder Publication: Sleep and Breathing Title: “Heart rate variability in patients with insomnia disorder: a systematic review and meta-analysis” Authors: Zhao and Jiang Key Finding: Across 17 studies and 921 participants, insomnia showed only mild, non-significant reductions in HRV measures such as SDNN and HF-norm. The review emphasizes methodological variability and suggests that chronic insomnia’s autonomic signature is subtle and context-dependent. Link: https://link.springer.com/article/10.1007/s11325-022-02720-0

Sleep Deprivation and HRV Publication: Frontiers in Neurology Title: “Effects of Sleep Deprivation on Heart Rate Variability: A Systematic Review and Meta-Analysis” Authors: Zhang, Niu, Ma, Wei, Zhang, and Du Key Finding: Eleven trials revealed consistent sympathetic dominance after sleep deprivation, as evidenced by decreased RMSSD, increased LF and LF/HF, and stable SDNN. These findings reinforce that RMSSD is the most sensitive marker of HRV for acute sleep loss and stress load. Link: https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full

COMISA: Insomnia and Sleep Apnea Combined Publication: Scientific Reports Title: “Heart Rate Variability Analysis in Comorbid Insomnia and Sleep Apnea (COMISA)” Authors: Martín-Montero, Vaquerizo-Villar, García-Vicente, Gutiérrez-Tobal, Penzel, and Hornero Key Finding: Using over 5,000 overnight ECGs, COMISA patients showed reduced parasympathetic tone while awake and increased sympathetic drive during sleep. This dual imbalance likely explains elevated cardiovascular risk when both disorders coexist. Link: https://www.nature.com/articles/s41598-025-02541-7

Depression and HRV in Students Publication: Kompasiana Title: “Diagnosis of Depressio...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV - Episode 12]]>
                </itunes:title>
                                    <itunes:episode>12</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h3><strong>Studies &amp; Resources Discussed</strong></h3>
<p><strong>Insomnia and HRV in Medical Students</strong><br /> <strong>Publication:</strong> <em>Cureus</em><br /> <strong>Title:</strong> <em>“Insomnia and Its Impact on Psychomotor Reactivity, Autonomic Function, and Psychological Well-Being Among Medical Students: A Cross-Sectional Analytical Study”</em><br /> <strong>Authors:</strong> Dhanusri, Rajalakshmi, Prakash, Bharadwaj, and Harichandrakumar<br /> <strong>Key Finding:</strong> The severity of insomnia among medical students was associated with slower reaction times and higher psychological distress, while short-term resting HRV remained largely unchanged. Early cognitive and mood changes appear before resting HRV declines, underscoring that subjective fatigue and attention lapses can be earlier indicators than RMSSD or SDNN.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://www.cureus.com/articles/427559-insomnia-and-its-impact-on-psychomotor-reactivity-autonomic-function-and-psychological-well-being-among-medical-students-a-cross-sectional-analytical-study#!/">https://www.cureus.com/articles/427559-insomnia-and-its-impact-on-psychomotor-reactivity-autonomic-function-and-psychological-well-being-among-medical-students-a-cross-sectional-analytical-study#!/</a></p>
<hr />
<p><strong>Meta-Analysis: HRV in Insomnia Disorder</strong><br /> <strong>Publication:</strong> <em>Sleep and Breathing</em><br /> <strong>Title:</strong> <em>“Heart rate variability in patients with insomnia disorder: a systematic review and meta-analysis”</em><br /> <strong>Authors:</strong> Zhao and Jiang<br /> <strong>Key Finding:</strong> Across 17 studies and 921 participants, insomnia showed only mild, non-significant reductions in HRV measures such as SDNN and HF-norm. The review emphasizes methodological variability and suggests that chronic insomnia’s autonomic signature is subtle and context-dependent.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://link.springer.com/article/10.1007/s11325-022-02720-0">https://link.springer.com/article/10.1007/s11325-022-02720-0</a></p>
<hr />
<p><strong>Sleep Deprivation and HRV</strong><br /> <strong>Publication:</strong> <em>Frontiers in Neurology</em><br /> <strong>Title:</strong> <em>“Effects of Sleep Deprivation on Heart Rate Variability: A Systematic Review and Meta-Analysis”</em><br /> <strong>Authors:</strong> Zhang, Niu, Ma, Wei, Zhang, and Du<br /> <strong>Key Finding:</strong> Eleven trials revealed consistent sympathetic dominance after sleep deprivation, as evidenced by decreased RMSSD, increased LF and LF/HF, and stable SDNN. These findings reinforce that RMSSD is the most sensitive marker of HRV for acute sleep loss and stress load.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full">https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full</a></p>
<hr />
<p><strong>COMISA: Insomnia and Sleep Apnea Combined</strong><br /> <strong>Publication:</strong> <em>Scientific Reports</em><br /> <strong>Title:</strong> <em>“Heart Rate Variability Analysis in Comorbid Insomnia and Sleep Apnea (COMISA)”</em><br /> <strong>Authors:</strong> Martín-Montero, Vaquerizo-Villar, García-Vicente, Gutiérrez-Tobal, Penzel, and Hornero<br /> <strong>Key Finding:</strong> Using over 5,000 overnight ECGs, COMISA patients showed reduced parasympathetic tone while awake and increased sympathetic drive during sleep. This dual imbalance likely explains elevated cardiovascular risk when both disorders coexist.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://www.nature.com/articles/s41598-025-02541-7">https://www.nature.com/articles/s41598-025-02541-7</a></p>
<hr />
<p><strong>Depression and HRV in Students</strong><br /> <strong>Publication:</strong> <em>Kompasiana</em><br /> <strong>Title:</strong> <em>“Diagnosis of Depression Based on SDNN Indicator of Heart Rate Variability (HRV) in Students”</em><br /> <strong>Author:</strong> Widya P.<br /> <strong>Key Finding:</strong> In 120 university students aged 18–25, PHQ-9 depression scores correlated negatively with SDNN (r = –0.48, p &lt; 0.001). An SDNN threshold of 50 ms identified moderate-to-severe depression with 82% sensitivity and 77% specificity, suggesting SDNN as a potential physiological adjunct to psychological screening.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://www.kompasiana.com/ola7155/690eaadfed641503d4754d93/diagnosis-of-depression-based-on-sdnn-indicator-of-heart-rate-variability-hrv-in-students#google_vignette">https://www.kompasiana.com/ola7155/690eaadfed641503d4754d93/diagnosis-of-depression-based-on-sdnn-indicator-of-heart-rate-variability-hrv-in-students#google_vignette</a></p>
<hr />
<p><strong>Post-PCI Inflammation and Wearable Data Integration</strong><br /> <strong>Publication:</strong> <em>PLOS ONE</em><br /> <strong>Title:</strong> <em>“Multi-modal inflammatory risk modeling in post-PCI patients using behavioral and physiologic data”</em><br /> <strong>Author:</strong> Sanghee Kim<br /> <strong>Key Finding:</strong> In 312 post-PCI patients, combining wearable data (steps, sleep efficiency, HRV, SpO₂) with inflammatory biomarkers improved the prediction of hs-CRP reduction. The Transformer-based model achieved an AUC of 0.88, identifying step count and HRV as leading behavioral predictors of inflammation control.<br /> <strong>Link:</strong> <a class="decorated-link" href="https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0336394&amp;utm_source=chatgpt.com">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0336394</a></p>
<hr />
<h3><strong>Sponsor Spotlight</strong></h3>
<p><strong>Optimal HRV</strong> — The app designed to make HRV tracking practical.<br /> The latest update introduces full multilingual support (17+ languages), a smoother onboarding process, guided device testing, and enhanced mindfulness playback.<br /> <strong>Recognition:</strong> <em>2026 Edison Awards Nominee for Innovation.</em><br /> Learn more: Search <strong>“<a href="http://www.optimalhrv.com">Optimal HRV”</a></strong> in your app store.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2221854/c1e-rqx3tw409wi2k92n-wwpjvgmot19d-5k130o.mp3" length="14112164"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Studies & Resources Discussed
Insomnia and HRV in Medical Students Publication: Cureus Title: “Insomnia and Its Impact on Psychomotor Reactivity, Autonomic Function, and Psychological Well-Being Among Medical Students: A Cross-Sectional Analytical Study” Authors: Dhanusri, Rajalakshmi, Prakash, Bharadwaj, and Harichandrakumar Key Finding: The severity of insomnia among medical students was associated with slower reaction times and higher psychological distress, while short-term resting HRV remained largely unchanged. Early cognitive and mood changes appear before resting HRV declines, underscoring that subjective fatigue and attention lapses can be earlier indicators than RMSSD or SDNN. Link: https://www.cureus.com/articles/427559-insomnia-and-its-impact-on-psychomotor-reactivity-autonomic-function-and-psychological-well-being-among-medical-students-a-cross-sectional-analytical-study#!/

Meta-Analysis: HRV in Insomnia Disorder Publication: Sleep and Breathing Title: “Heart rate variability in patients with insomnia disorder: a systematic review and meta-analysis” Authors: Zhao and Jiang Key Finding: Across 17 studies and 921 participants, insomnia showed only mild, non-significant reductions in HRV measures such as SDNN and HF-norm. The review emphasizes methodological variability and suggests that chronic insomnia’s autonomic signature is subtle and context-dependent. Link: https://link.springer.com/article/10.1007/s11325-022-02720-0

Sleep Deprivation and HRV Publication: Frontiers in Neurology Title: “Effects of Sleep Deprivation on Heart Rate Variability: A Systematic Review and Meta-Analysis” Authors: Zhang, Niu, Ma, Wei, Zhang, and Du Key Finding: Eleven trials revealed consistent sympathetic dominance after sleep deprivation, as evidenced by decreased RMSSD, increased LF and LF/HF, and stable SDNN. These findings reinforce that RMSSD is the most sensitive marker of HRV for acute sleep loss and stress load. Link: https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full

COMISA: Insomnia and Sleep Apnea Combined Publication: Scientific Reports Title: “Heart Rate Variability Analysis in Comorbid Insomnia and Sleep Apnea (COMISA)” Authors: Martín-Montero, Vaquerizo-Villar, García-Vicente, Gutiérrez-Tobal, Penzel, and Hornero Key Finding: Using over 5,000 overnight ECGs, COMISA patients showed reduced parasympathetic tone while awake and increased sympathetic drive during sleep. This dual imbalance likely explains elevated cardiovascular risk when both disorders coexist. Link: https://www.nature.com/articles/s41598-025-02541-7

Depression and HRV in Students Publication: Kompasiana Title: “Diagnosis of Depressio...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:14:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 11 Nov 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2202127</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-11</link>
                                <description>
                                            <![CDATA[<h3><strong>Studies &amp; Resources Discussed</strong></h3>
<p> </p>
<ol start="1">
<li>
<p><strong>HRV Biofeedback for PTSD &amp; Chronic Pain</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Journal of Affective Disorders</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.google.com/search?q=https://www.sciencedirect.com/science/article/pii/S0165032725020002%3Fvia%253Dihub" target="_blank" rel="noreferrer noopener">"Heart rate variability biofeedback improves co-occurring posttraumatic stress disorder and chronic pain symptoms: A randomised waitlist controlled trial"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> This is the first RCT for this co-occurring population. Just six weeks of HRV biofeedback (HRVBF) led to a <strong>24.3% decrease in PTSD symptoms</strong> and a <strong>24.9% reduction in pain interference</strong>.</p>
</li>
</ul>
</li>
<li>
<p><strong>Biofeedback in Pediatric Care</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Cleveland Clinic ConsultQD</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://consultqd.clevelandclinic.org/biofeedback-interventions-with-psychotherapy-in-pediatric-care-the-present-and-the-future" target="_blank" rel="noreferrer noopener">"Biofeedback Interventions With Psychotherapy in Pediatric Care: The Present and the Future"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> A clinical guide and call to action for integrating biofeedback (like HRV) with psychotherapy to make self-regulation a concrete, measurable skill for children (e.g., pairing HRV biofeedback with exposure therapy for phobias).</p>
</li>
</ul>
</li>
<li>
<p><strong>Slow-Paced Contraction (SPC)</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Biosourcesoftware.com</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.google.com/search?q=https://www.biosourcesoftware.com/post/add-slow-paced-contraction-to-your-practice" target="_blank" rel="noreferrer noopener">"Add Slow-Paced Contraction to Your Practice"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> This article details the "how-to" for Slow-Paced Contraction, a vital alternative to slow-paced breathing for patients with contraindications (like severe COPD, kidney disease, or metabolic acidosis).</p>
</li>
</ul>
</li>
<li>
<p><strong>Tai Chi &amp; HRV</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Medicine</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://journals.lww.com/md-journal/fulltext/2025/10170/effects_of_a_tai_chi_dance_intervention_on_the.145.aspx" target="_blank" rel="noreferrer noopener">"Effects of a Tai Chi dance intervention on the autonomic nervous system in university students"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> A 16-week Tai Chi intervention was shown to be an effective method to <strong>prevent excessive declines in resting HRV</strong> in university students, building autonomic resilience.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV &amp; Non-Suicidal Self-Injury (NSSI)</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Taylor &amp; Francis Online</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.tandfonline.com/doi/abs/10.1080/13651501.2025.2551772" target="_blank" rel="noreferrer noopener">"Association between heart rate variability and emotion dysregulation in adolescents with non-suicidal self-injury"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> This review frames <strong>reduced HRV</strong> as a key physiological marker of the Emotion Dysregulation and autonomic imbalance that underlies the distress leading to NSSI in adolescents.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV in IPV Offenders</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Journal of Criminal...</em></p></li></ul></li></ol>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Studies & Resources Discussed
 


HRV Biofeedback for PTSD & Chronic Pain


Publication: Journal of Affective Disorders


Title: "Heart rate variability biofeedback improves co-occurring posttraumatic stress disorder and chronic pain symptoms: A randomised waitlist controlled trial"


Key Finding: This is the first RCT for this co-occurring population. Just six weeks of HRV biofeedback (HRVBF) led to a 24.3% decrease in PTSD symptoms and a 24.9% reduction in pain interference.




Biofeedback in Pediatric Care


Publication: Cleveland Clinic ConsultQD


Title: "Biofeedback Interventions With Psychotherapy in Pediatric Care: The Present and the Future"


Key Finding: A clinical guide and call to action for integrating biofeedback (like HRV) with psychotherapy to make self-regulation a concrete, measurable skill for children (e.g., pairing HRV biofeedback with exposure therapy for phobias).




Slow-Paced Contraction (SPC)


Publication: Biosourcesoftware.com


Title: "Add Slow-Paced Contraction to Your Practice"


Key Finding: This article details the "how-to" for Slow-Paced Contraction, a vital alternative to slow-paced breathing for patients with contraindications (like severe COPD, kidney disease, or metabolic acidosis).




Tai Chi & HRV


Publication: Medicine


Title: "Effects of a Tai Chi dance intervention on the autonomic nervous system in university students"


Key Finding: A 16-week Tai Chi intervention was shown to be an effective method to prevent excessive declines in resting HRV in university students, building autonomic resilience.




HRV & Non-Suicidal Self-Injury (NSSI)


Publication: Taylor & Francis Online


Title: "Association between heart rate variability and emotion dysregulation in adolescents with non-suicidal self-injury"


Key Finding: This review frames reduced HRV as a key physiological marker of the Emotion Dysregulation and autonomic imbalance that underlies the distress leading to NSSI in adolescents.




HRV in IPV Offenders


Publication: Journal of Criminal...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>11</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h3><strong>Studies &amp; Resources Discussed</strong></h3>
<p> </p>
<ol start="1">
<li>
<p><strong>HRV Biofeedback for PTSD &amp; Chronic Pain</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Journal of Affective Disorders</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.google.com/search?q=https://www.sciencedirect.com/science/article/pii/S0165032725020002%3Fvia%253Dihub" target="_blank" rel="noreferrer noopener">"Heart rate variability biofeedback improves co-occurring posttraumatic stress disorder and chronic pain symptoms: A randomised waitlist controlled trial"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> This is the first RCT for this co-occurring population. Just six weeks of HRV biofeedback (HRVBF) led to a <strong>24.3% decrease in PTSD symptoms</strong> and a <strong>24.9% reduction in pain interference</strong>.</p>
</li>
</ul>
</li>
<li>
<p><strong>Biofeedback in Pediatric Care</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Cleveland Clinic ConsultQD</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://consultqd.clevelandclinic.org/biofeedback-interventions-with-psychotherapy-in-pediatric-care-the-present-and-the-future" target="_blank" rel="noreferrer noopener">"Biofeedback Interventions With Psychotherapy in Pediatric Care: The Present and the Future"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> A clinical guide and call to action for integrating biofeedback (like HRV) with psychotherapy to make self-regulation a concrete, measurable skill for children (e.g., pairing HRV biofeedback with exposure therapy for phobias).</p>
</li>
</ul>
</li>
<li>
<p><strong>Slow-Paced Contraction (SPC)</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Biosourcesoftware.com</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.google.com/search?q=https://www.biosourcesoftware.com/post/add-slow-paced-contraction-to-your-practice" target="_blank" rel="noreferrer noopener">"Add Slow-Paced Contraction to Your Practice"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> This article details the "how-to" for Slow-Paced Contraction, a vital alternative to slow-paced breathing for patients with contraindications (like severe COPD, kidney disease, or metabolic acidosis).</p>
</li>
</ul>
</li>
<li>
<p><strong>Tai Chi &amp; HRV</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Medicine</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://journals.lww.com/md-journal/fulltext/2025/10170/effects_of_a_tai_chi_dance_intervention_on_the.145.aspx" target="_blank" rel="noreferrer noopener">"Effects of a Tai Chi dance intervention on the autonomic nervous system in university students"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> A 16-week Tai Chi intervention was shown to be an effective method to <strong>prevent excessive declines in resting HRV</strong> in university students, building autonomic resilience.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV &amp; Non-Suicidal Self-Injury (NSSI)</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Taylor &amp; Francis Online</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.tandfonline.com/doi/abs/10.1080/13651501.2025.2551772" target="_blank" rel="noreferrer noopener">"Association between heart rate variability and emotion dysregulation in adolescents with non-suicidal self-injury"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> This review frames <strong>reduced HRV</strong> as a key physiological marker of the Emotion Dysregulation and autonomic imbalance that underlies the distress leading to NSSI in adolescents.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV in IPV Offenders</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Journal of Criminal Justice</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.google.com/search?q=https://www.sciencedirect.com/science/article/pii/S0047235223000545%3Fvia%253Dihub" target="_blank" rel="noreferrer noopener">"Diminished vagally mediated heart rate variability in a compassion-eliciting task in intimate partner violence offenders"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> Intimate Partner Violence (IPV) offenders showed lower vagally mediated HRV during a compassion-eliciting task, suggesting a diminished physiological capacity to connect with others' suffering.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV &amp; Heart Failure (HFrEF)</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Current Cardiology Reviews (via PMC)</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12060912/" target="_blank" rel="noreferrer noopener">"Heart Rate Variability and Heart Failure with Reduced Ejection Fraction: A Systematic Review of Literature"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> A systematic review concluding that <strong>autonomic impairment (low HRV) is a hallmark of HFrEF</strong> and that abnormally low HRV metrics are a powerful predictor of worse prognosis.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV &amp; Subclinical Thyroid Dysfunction</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Egyptian Journal of Radiology and Nuclear Medicine</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://ejrnm.springeropen.com/articles/10.1186/s43055-025-01619-6" target="_blank" rel="noreferrer noopener">"Heart rate variability and left atrial stiffness index... in subclinical thyroid dysfunction"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> Even <em>subclinical</em> thyroid disorders are linked to increased left atrial stiffness (heart stress). The subclinical hyperthyroid group also showed a significantly increased LF/HF ratio, indicating sympathetic dominance.</p>
</li>
</ul>
</li>
<li>
<p><strong>Predicting Vasovagal Syncope</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>European Heart Journal</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.google.com/search?q=https://academic.oup.com/eurheartj/article/46/Supplement_1/ehaf784.570/8308694%23google_vignette" target="_blank" rel="noreferrer noopener">"An autonomic function-based prediction model for cardioinhibitory vasovagal syncope"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> Standard HRV metrics <em>could not</em> differentiate syncope subtypes, but a related metric, <strong>Deceleration Capacity (DC)</strong>, was a significant predictor, leading to a functional predictive model.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV at High Altitude</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Journal of Family Medicine and Primary Care</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://journals.lww.com/jfmpc/fulltext/2025/10000/normative_data_of_heart_rate_variability_in.30.aspx" target="_blank" rel="noreferrer noopener">"Normative data of heart rate variability in healthy populations residing at high altitudes..."</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> This study establishes new HRV norms for a population living at 3500m, confirming their values <strong>differ from sea-level norms</strong>. It also found higher parasympathetic tone (RMSSD, pRR50) in females than males.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV &amp; Cognitive Workload</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>BMC Nursing</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://bmcnurs.biomedcentral.com/articles/10.1186/s12912-025-03987-w" target="_blank" rel="noreferrer noopener">"An integrative review of cognitive workload assessment for safety management"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> This review identifies ECG (for HRV), EEG, and EOG as the <strong>top three preferred <em>physiological signals</em></strong> for objectively assessing cognitive workload in real-time, moving beyond subjective surveys.</p>
</li>
</ul>
</li>
<li>
<p><strong>HRV &amp; Shamanic Journeying</strong></p>
<ul>
<li>
<p><strong>Publication:</strong> <em>Frontiers in Psychology</em></p>
</li>
<li>
<p><strong>Title:</strong> <strong><a class="ng-star-inserted" href="https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1608442/full" target="_blank" rel="noreferrer noopener">"Dynamic changes in cardiac function during shamanic journeying and Qigong meditation"</a></strong></p>
</li>
<li>
<p><strong>Key Finding:</strong> A fascinating single-case study tracking HRV during shamanic states. Shamanic drumming, for example, <em>decreased</em> heart rate but <em>increased</em> parasympathetic metrics (RMSSD, pNN50), showing a unique physiological profile.</p>
</li>
</ul>
</li>
</ol>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2202127/c1e-dr92fm8ovot0z0j5-9j3jgv83i326-u0uans.mp3" length="21746697"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Studies & Resources Discussed
 


HRV Biofeedback for PTSD & Chronic Pain


Publication: Journal of Affective Disorders


Title: "Heart rate variability biofeedback improves co-occurring posttraumatic stress disorder and chronic pain symptoms: A randomised waitlist controlled trial"


Key Finding: This is the first RCT for this co-occurring population. Just six weeks of HRV biofeedback (HRVBF) led to a 24.3% decrease in PTSD symptoms and a 24.9% reduction in pain interference.




Biofeedback in Pediatric Care


Publication: Cleveland Clinic ConsultQD


Title: "Biofeedback Interventions With Psychotherapy in Pediatric Care: The Present and the Future"


Key Finding: A clinical guide and call to action for integrating biofeedback (like HRV) with psychotherapy to make self-regulation a concrete, measurable skill for children (e.g., pairing HRV biofeedback with exposure therapy for phobias).




Slow-Paced Contraction (SPC)


Publication: Biosourcesoftware.com


Title: "Add Slow-Paced Contraction to Your Practice"


Key Finding: This article details the "how-to" for Slow-Paced Contraction, a vital alternative to slow-paced breathing for patients with contraindications (like severe COPD, kidney disease, or metabolic acidosis).




Tai Chi & HRV


Publication: Medicine


Title: "Effects of a Tai Chi dance intervention on the autonomic nervous system in university students"


Key Finding: A 16-week Tai Chi intervention was shown to be an effective method to prevent excessive declines in resting HRV in university students, building autonomic resilience.




HRV & Non-Suicidal Self-Injury (NSSI)


Publication: Taylor & Francis Online


Title: "Association between heart rate variability and emotion dysregulation in adolescents with non-suicidal self-injury"


Key Finding: This review frames reduced HRV as a key physiological marker of the Emotion Dysregulation and autonomic imbalance that underlies the distress leading to NSSI in adolescents.




HRV in IPV Offenders


Publication: Journal of Criminal...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:15:06</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Integrating HRV Biofeedback and Substance Use Treatment — with Dr. David Eddie]]>
                </title>
                <pubDate>Thu, 06 Nov 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2170032</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/integrating-hrv-in-psychotherapy-and-substance-use-treatment-with-dr-david-eddie</link>
                                <description>
                                            <![CDATA[<p>Find the article here: https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2839605 </p>
<h2> Episode Summary</h2>
<p>In this insightful episode of <em>The Heart Rate Variability Podcast</em>, host <strong>Matt Bennett</strong> sits down with <strong>Dr. David Eddie</strong>, a clinical psychologist and researcher at Massachusetts General Hospital and Assistant Professor at Harvard Medical School. Together, they explore how <strong>Heart Rate Variability (HRV)</strong> is transforming the landscape of <strong>addiction recovery, psychotherapy, and digital mental health</strong>.</p>
<p>Dr. Eddie shares how HRV can serve as both a <strong>biomarker for relapse risk</strong> and a <strong>tool for emotional regulation</strong>, shedding light on how AI, wearable technology, and stress-detection algorithms could revolutionize real-time intervention in substance use treatment.</p>
<p>Listeners will gain a deeper understanding of how HRV biofeedback, digital monitoring, and personalized algorithms can support clients in recovery, enhance self-awareness, and inform clinicians’ decision-making in psychotherapy.</p>
<hr />
<h2> Key Topics Covered</h2>
<ul>
<li>
<p><strong>How Dr. David Eddie began his HRV journey</strong> during graduate research at Rutgers and the Recovery Research Institute.</p>
</li>
<li>
<p><strong>HRV as a biomarker for pathology and relapse risk</strong> in substance use disorder and mental health conditions.</p>
</li>
<li>
<p><strong>Developing stress-detection algorithms</strong> that leverage real-time HRV data through wearables and AI.</p>
</li>
<li>
<p><strong>Challenges of variability and individual differences</strong> in HRV data across populations.</p>
</li>
<li>
<p><strong>Integrating ecological momentary assessment (EMA)</strong> and ambulatory psychophysiological monitoring for clinical insights.</p>
</li>
<li>
<p><strong>How HRV biofeedback supports recovery and emotional regulation</strong> in psychotherapy and addiction treatment.</p>
</li>
<li>
<p><strong>Ethical and practical issues</strong> around proprietary algorithms, data transparency, and commercial wearables.</p>
</li>
<li>
<p><strong>The future of HRV research</strong>, AI integration, and passive monitoring in clinical psychology.</p>
</li>
</ul>
<hr />
<h2> Key Takeaways</h2>
<ul>
<li>
<p>HRV is both a <strong>symptom and contributor</strong> to addiction and mental health challenges, offering potential for early detection of relapse risk.</p>
</li>
<li>
<p><strong>Wearables and AI</strong> can help clinicians intervene in real time — possibly preventing relapse or emotional crises before they occur.</p>
</li>
<li>
<p><strong>Personalized baselines</strong> and individual calibration are essential to improve algorithm accuracy for diverse populations.</p>
</li>
<li>
<p><strong>HRV biofeedback</strong> provides an accessible, evidence-based method to help clients build resilience, reduce craving, and regulate their nervous system.</p>
</li>
<li>
<p>Future advances will make <strong>passive, scalable HRV monitoring</strong> a core element of digital mental health and recovery care.</p>
</li>
</ul>
<hr />
<h2> About the Guest</h2>
<p><strong>Dr. David Eddie</strong> is a clinical psychologist and researcher at Massachusetts General Hospital’s <strong>Recovery Research Institute</strong> and the <strong>Center for Digital Mental Health</strong>, as well as an Assistant Professor of Psychiatry at <strong>Harvard Medical School</strong>. His work focuses on addiction recovery, psychophysiology, and integrating HRV into digital and clinical interventions.</p>
<p>Follow his work at <a class="decorated-link cursor-pointer">Recovery Research Institute</a> or through Harvard Medical School publications.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Find the article here: https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2839605 
 Episode Summary
In this insightful episode of The Heart Rate Variability Podcast, host Matt Bennett sits down with Dr. David Eddie, a clinical psychologist and researcher at Massachusetts General Hospital and Assistant Professor at Harvard Medical School. Together, they explore how Heart Rate Variability (HRV) is transforming the landscape of addiction recovery, psychotherapy, and digital mental health.
Dr. Eddie shares how HRV can serve as both a biomarker for relapse risk and a tool for emotional regulation, shedding light on how AI, wearable technology, and stress-detection algorithms could revolutionize real-time intervention in substance use treatment.
Listeners will gain a deeper understanding of how HRV biofeedback, digital monitoring, and personalized algorithms can support clients in recovery, enhance self-awareness, and inform clinicians’ decision-making in psychotherapy.

 Key Topics Covered


How Dr. David Eddie began his HRV journey during graduate research at Rutgers and the Recovery Research Institute.


HRV as a biomarker for pathology and relapse risk in substance use disorder and mental health conditions.


Developing stress-detection algorithms that leverage real-time HRV data through wearables and AI.


Challenges of variability and individual differences in HRV data across populations.


Integrating ecological momentary assessment (EMA) and ambulatory psychophysiological monitoring for clinical insights.


How HRV biofeedback supports recovery and emotional regulation in psychotherapy and addiction treatment.


Ethical and practical issues around proprietary algorithms, data transparency, and commercial wearables.


The future of HRV research, AI integration, and passive monitoring in clinical psychology.



 Key Takeaways


HRV is both a symptom and contributor to addiction and mental health challenges, offering potential for early detection of relapse risk.


Wearables and AI can help clinicians intervene in real time — possibly preventing relapse or emotional crises before they occur.


Personalized baselines and individual calibration are essential to improve algorithm accuracy for diverse populations.


HRV biofeedback provides an accessible, evidence-based method to help clients build resilience, reduce craving, and regulate their nervous system.


Future advances will make passive, scalable HRV monitoring a core element of digital mental health and recovery care.



 About the Guest
Dr. David Eddie is a clinical psychologist and researcher at Massachusetts General Hospital’s Recovery Research Institute and the Center for Digital Mental Health, as well as an Assistant Professor of Psychiatry at Harvard Medical School. His work focuses on addiction recovery, psychophysiology, and integrating HRV into digital and clinical interventions.
Follow his work at Recovery Research Institute or through Harvard Medical School publications.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Integrating HRV Biofeedback and Substance Use Treatment — with Dr. David Eddie]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Find the article here: https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2839605 </p>
<h2> Episode Summary</h2>
<p>In this insightful episode of <em>The Heart Rate Variability Podcast</em>, host <strong>Matt Bennett</strong> sits down with <strong>Dr. David Eddie</strong>, a clinical psychologist and researcher at Massachusetts General Hospital and Assistant Professor at Harvard Medical School. Together, they explore how <strong>Heart Rate Variability (HRV)</strong> is transforming the landscape of <strong>addiction recovery, psychotherapy, and digital mental health</strong>.</p>
<p>Dr. Eddie shares how HRV can serve as both a <strong>biomarker for relapse risk</strong> and a <strong>tool for emotional regulation</strong>, shedding light on how AI, wearable technology, and stress-detection algorithms could revolutionize real-time intervention in substance use treatment.</p>
<p>Listeners will gain a deeper understanding of how HRV biofeedback, digital monitoring, and personalized algorithms can support clients in recovery, enhance self-awareness, and inform clinicians’ decision-making in psychotherapy.</p>
<hr />
<h2> Key Topics Covered</h2>
<ul>
<li>
<p><strong>How Dr. David Eddie began his HRV journey</strong> during graduate research at Rutgers and the Recovery Research Institute.</p>
</li>
<li>
<p><strong>HRV as a biomarker for pathology and relapse risk</strong> in substance use disorder and mental health conditions.</p>
</li>
<li>
<p><strong>Developing stress-detection algorithms</strong> that leverage real-time HRV data through wearables and AI.</p>
</li>
<li>
<p><strong>Challenges of variability and individual differences</strong> in HRV data across populations.</p>
</li>
<li>
<p><strong>Integrating ecological momentary assessment (EMA)</strong> and ambulatory psychophysiological monitoring for clinical insights.</p>
</li>
<li>
<p><strong>How HRV biofeedback supports recovery and emotional regulation</strong> in psychotherapy and addiction treatment.</p>
</li>
<li>
<p><strong>Ethical and practical issues</strong> around proprietary algorithms, data transparency, and commercial wearables.</p>
</li>
<li>
<p><strong>The future of HRV research</strong>, AI integration, and passive monitoring in clinical psychology.</p>
</li>
</ul>
<hr />
<h2> Key Takeaways</h2>
<ul>
<li>
<p>HRV is both a <strong>symptom and contributor</strong> to addiction and mental health challenges, offering potential for early detection of relapse risk.</p>
</li>
<li>
<p><strong>Wearables and AI</strong> can help clinicians intervene in real time — possibly preventing relapse or emotional crises before they occur.</p>
</li>
<li>
<p><strong>Personalized baselines</strong> and individual calibration are essential to improve algorithm accuracy for diverse populations.</p>
</li>
<li>
<p><strong>HRV biofeedback</strong> provides an accessible, evidence-based method to help clients build resilience, reduce craving, and regulate their nervous system.</p>
</li>
<li>
<p>Future advances will make <strong>passive, scalable HRV monitoring</strong> a core element of digital mental health and recovery care.</p>
</li>
</ul>
<hr />
<h2> About the Guest</h2>
<p><strong>Dr. David Eddie</strong> is a clinical psychologist and researcher at Massachusetts General Hospital’s <strong>Recovery Research Institute</strong> and the <strong>Center for Digital Mental Health</strong>, as well as an Assistant Professor of Psychiatry at <strong>Harvard Medical School</strong>. His work focuses on addiction recovery, psychophysiology, and integrating HRV into digital and clinical interventions.</p>
<p>Follow his work at <a class="decorated-link cursor-pointer">Recovery Research Institute</a> or through Harvard Medical School publications.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2170032/c1e-rqx3twq82pig8g9v-8doq089wtrdj-ztkrbx.mp3" length="46462315"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Find the article here: https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2839605 
 Episode Summary
In this insightful episode of The Heart Rate Variability Podcast, host Matt Bennett sits down with Dr. David Eddie, a clinical psychologist and researcher at Massachusetts General Hospital and Assistant Professor at Harvard Medical School. Together, they explore how Heart Rate Variability (HRV) is transforming the landscape of addiction recovery, psychotherapy, and digital mental health.
Dr. Eddie shares how HRV can serve as both a biomarker for relapse risk and a tool for emotional regulation, shedding light on how AI, wearable technology, and stress-detection algorithms could revolutionize real-time intervention in substance use treatment.
Listeners will gain a deeper understanding of how HRV biofeedback, digital monitoring, and personalized algorithms can support clients in recovery, enhance self-awareness, and inform clinicians’ decision-making in psychotherapy.

 Key Topics Covered


How Dr. David Eddie began his HRV journey during graduate research at Rutgers and the Recovery Research Institute.


HRV as a biomarker for pathology and relapse risk in substance use disorder and mental health conditions.


Developing stress-detection algorithms that leverage real-time HRV data through wearables and AI.


Challenges of variability and individual differences in HRV data across populations.


Integrating ecological momentary assessment (EMA) and ambulatory psychophysiological monitoring for clinical insights.


How HRV biofeedback supports recovery and emotional regulation in psychotherapy and addiction treatment.


Ethical and practical issues around proprietary algorithms, data transparency, and commercial wearables.


The future of HRV research, AI integration, and passive monitoring in clinical psychology.



 Key Takeaways


HRV is both a symptom and contributor to addiction and mental health challenges, offering potential for early detection of relapse risk.


Wearables and AI can help clinicians intervene in real time — possibly preventing relapse or emotional crises before they occur.


Personalized baselines and individual calibration are essential to improve algorithm accuracy for diverse populations.


HRV biofeedback provides an accessible, evidence-based method to help clients build resilience, reduce craving, and regulate their nervous system.


Future advances will make passive, scalable HRV monitoring a core element of digital mental health and recovery care.



 About the Guest
Dr. David Eddie is a clinical psychologist and researcher at Massachusetts General Hospital’s Recovery Research Institute and the Center for Digital Mental Health, as well as an Assistant Professor of Psychiatry at Harvard Medical School. His work focuses on addiction recovery, psychophysiology, and integrating HRV into digital and clinical interventions.
Follow his work at Recovery Research Institute or through Harvard Medical School publications.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2170032/c1a-rqx3-rkp32gd4u0dm-gaqva9.png"></itunes:image>
                                                                            <itunes:duration>00:47:03</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 04 Nov 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2183716</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-10</link>
                                <description>
                                            <![CDATA[<h3><strong>Show Notes</strong></h3>
<p><strong>Resource 1:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Associations between mental health disorder symptoms and cardiac function among Royal Canadian Mounted police cadets during the Cadet training program</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">R.N. Carleton, T.A. Teckchandani, J.P. Neary, J.E. Samayoa, J.M.B. Khoury, K.Q. Maguire, G.P. Krätzig, &amp; G.J.G. Asmundson</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Journal of Psychiatric Research</span></p>
<p><strong>Link: </strong><a href="https://www.sciencedirect.com/science/article/pii/S0022395625006521"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/pii/S0022395625006521</span></a></p>
<p><strong>Resource 2:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Transgenerational effects of violence in adolescents exposed to grandmaternal intimate partner violence during pregnancy: Heart rate variability and DNA methylation</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Nayara Cristina dos Santos Oliveira, Aline Furtado Bastos, Fernanda Serpeloni, &amp; Simone Gonçalves de Assis</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Behavioural Brain Research</span></p>
<p><strong>Link: </strong><a href="https://www.sciencedirect.com/science/article/abs/pii/S0166432825004735"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S0166432825004735</span></a></p>
<p><strong>Resource 3:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">The role of separation anxiety and autonomic dysregulation in pediatric vasovagal syncope. A cross-sectional study</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Gaia Cuzzocrea, Andrea Fontana, Cristiana Alessia Guido, Marta Mascanzoni, Alberto Spalice, Camilla Guccione, Angelos Halaris, Stephen Porges, Lucia Sideli, &amp; Vincenzo Caretti</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Journal of Psychiatric Research</span></p>
<p><strong>Link:</strong> <a href="https://www.sciencedirect.com/science/article/abs/pii/S0022395625006351"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S0022395625006351</span></a></p>
<p><strong>Resource 4:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Acute cardiovascular and cerebral blood flow responses to high-frequency, low-amplitude vibration on the neck</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Viet Q Dinh, Malinda Hansen, K Austin Davis, Lindsey Peralez, &amp; Caroline A Rickards</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Journal of Applied Physiology (via PMC)</span></p>
<p><strong>Link: </strong><a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12551627/"><span style="font-weight:400;">https://pmc.ncbi.nlm.nih.gov/articles/PMC12551627/</span></a></p>
<p><strong>Resource 5:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Autonomic Flexibility and Early Treatment Success: Heart Rate Variability Predicts Remission in First-Episode Psychosis</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Judith Rohde, Samantha Weber, Mateo de Bardeci, Aygün Ertuğrul, Grammato Amexi, Eva Schultz, &amp; Sebastian Olbrich</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Schizophrenia Bulletin</span></p>
<p><strong>Link: </strong><a href="https://academic.oup.com/schizophreniabulletin/advance-article/doi/10.1093/schbul/sbaf191/8305265?login=false"><span style="font-weight:400;">https://academic.oup.com/schizophreniabulletin/advance-article/doi/10.1093/schbul/sbaf191/8305265?login=false</span></a></p>
<p><strong>Resource 6:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Interplay between ke...</span></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Show Notes
Resource 1:
Title: Associations between mental health disorder symptoms and cardiac function among Royal Canadian Mounted police cadets during the Cadet training program
Authors: R.N. Carleton, T.A. Teckchandani, J.P. Neary, J.E. Samayoa, J.M.B. Khoury, K.Q. Maguire, G.P. Krätzig, & G.J.G. Asmundson
Publication: Journal of Psychiatric Research
Link: https://www.sciencedirect.com/science/article/pii/S0022395625006521
Resource 2:
Title: Transgenerational effects of violence in adolescents exposed to grandmaternal intimate partner violence during pregnancy: Heart rate variability and DNA methylation
Authors: Nayara Cristina dos Santos Oliveira, Aline Furtado Bastos, Fernanda Serpeloni, & Simone Gonçalves de Assis
Publication: Behavioural Brain Research
Link: https://www.sciencedirect.com/science/article/abs/pii/S0166432825004735
Resource 3:
Title: The role of separation anxiety and autonomic dysregulation in pediatric vasovagal syncope. A cross-sectional study
Authors: Gaia Cuzzocrea, Andrea Fontana, Cristiana Alessia Guido, Marta Mascanzoni, Alberto Spalice, Camilla Guccione, Angelos Halaris, Stephen Porges, Lucia Sideli, & Vincenzo Caretti
Publication: Journal of Psychiatric Research
Link: https://www.sciencedirect.com/science/article/abs/pii/S0022395625006351
Resource 4:
Title: Acute cardiovascular and cerebral blood flow responses to high-frequency, low-amplitude vibration on the neck
Authors: Viet Q Dinh, Malinda Hansen, K Austin Davis, Lindsey Peralez, & Caroline A Rickards
Publication: Journal of Applied Physiology (via PMC)
Link: https://pmc.ncbi.nlm.nih.gov/articles/PMC12551627/
Resource 5:
Title: Autonomic Flexibility and Early Treatment Success: Heart Rate Variability Predicts Remission in First-Episode Psychosis
Authors: Judith Rohde, Samantha Weber, Mateo de Bardeci, Aygün Ertuğrul, Grammato Amexi, Eva Schultz, & Sebastian Olbrich
Publication: Schizophrenia Bulletin
Link: https://academic.oup.com/schizophreniabulletin/advance-article/doi/10.1093/schbul/sbaf191/8305265?login=false
Resource 6:
Title: Interplay between ke...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>10</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h3><strong>Show Notes</strong></h3>
<p><strong>Resource 1:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Associations between mental health disorder symptoms and cardiac function among Royal Canadian Mounted police cadets during the Cadet training program</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">R.N. Carleton, T.A. Teckchandani, J.P. Neary, J.E. Samayoa, J.M.B. Khoury, K.Q. Maguire, G.P. Krätzig, &amp; G.J.G. Asmundson</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Journal of Psychiatric Research</span></p>
<p><strong>Link: </strong><a href="https://www.sciencedirect.com/science/article/pii/S0022395625006521"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/pii/S0022395625006521</span></a></p>
<p><strong>Resource 2:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Transgenerational effects of violence in adolescents exposed to grandmaternal intimate partner violence during pregnancy: Heart rate variability and DNA methylation</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Nayara Cristina dos Santos Oliveira, Aline Furtado Bastos, Fernanda Serpeloni, &amp; Simone Gonçalves de Assis</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Behavioural Brain Research</span></p>
<p><strong>Link: </strong><a href="https://www.sciencedirect.com/science/article/abs/pii/S0166432825004735"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S0166432825004735</span></a></p>
<p><strong>Resource 3:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">The role of separation anxiety and autonomic dysregulation in pediatric vasovagal syncope. A cross-sectional study</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Gaia Cuzzocrea, Andrea Fontana, Cristiana Alessia Guido, Marta Mascanzoni, Alberto Spalice, Camilla Guccione, Angelos Halaris, Stephen Porges, Lucia Sideli, &amp; Vincenzo Caretti</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Journal of Psychiatric Research</span></p>
<p><strong>Link:</strong> <a href="https://www.sciencedirect.com/science/article/abs/pii/S0022395625006351"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S0022395625006351</span></a></p>
<p><strong>Resource 4:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Acute cardiovascular and cerebral blood flow responses to high-frequency, low-amplitude vibration on the neck</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Viet Q Dinh, Malinda Hansen, K Austin Davis, Lindsey Peralez, &amp; Caroline A Rickards</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Journal of Applied Physiology (via PMC)</span></p>
<p><strong>Link: </strong><a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC12551627/"><span style="font-weight:400;">https://pmc.ncbi.nlm.nih.gov/articles/PMC12551627/</span></a></p>
<p><strong>Resource 5:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Autonomic Flexibility and Early Treatment Success: Heart Rate Variability Predicts Remission in First-Episode Psychosis</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Judith Rohde, Samantha Weber, Mateo de Bardeci, Aygün Ertuğrul, Grammato Amexi, Eva Schultz, &amp; Sebastian Olbrich</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Schizophrenia Bulletin</span></p>
<p><strong>Link: </strong><a href="https://academic.oup.com/schizophreniabulletin/advance-article/doi/10.1093/schbul/sbaf191/8305265?login=false"><span style="font-weight:400;">https://academic.oup.com/schizophreniabulletin/advance-article/doi/10.1093/schbul/sbaf191/8305265?login=false</span></a></p>
<p><strong>Resource 6:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Interplay between key metabolic hormones, metabolic factors, renal function, and heart rate variability in humans with obesity</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Kitchaya Pongwattanapakin, Chit Care, Chantacha Sitticharoon, Kittikorn Tommy Wilasrusmee, Issarawan Keadkraichaiwat, Pailin Maikaew, &amp; Rungnapa Sririwichitchai</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Scientific Reports</span></p>
<p><strong>Link: </strong><a href="https://www.nature.com/articles/s41598-025-21757-1"><span style="font-weight:400;">https://www.nature.com/articles/s41598-025-21757-1</span></a></p>
<p><strong>Resource 7:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Metabolic Minute – Heart Rate Variability</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">WCCB Web Staff (featuring Dr. Gary Rolband, Stephen Gage, and Matt Bennett)</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">WCCB Charlotte</span></p>
<p><strong>Link: </strong><a href="https://www.wccbcharlotte.com/2025/10/27/metabolic-minute-heart-rate-variability/"><span style="font-weight:400;">https://www.wccbcharlotte.com/2025/10/27/metabolic-minute-heart-rate-variability/</span></a></p>
<p> </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2183716/c1e-dr92fmn0kka0z0j5-dmxjm6xmf3r6-fipefk.mp3" length="22291507"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Show Notes
Resource 1:
Title: Associations between mental health disorder symptoms and cardiac function among Royal Canadian Mounted police cadets during the Cadet training program
Authors: R.N. Carleton, T.A. Teckchandani, J.P. Neary, J.E. Samayoa, J.M.B. Khoury, K.Q. Maguire, G.P. Krätzig, & G.J.G. Asmundson
Publication: Journal of Psychiatric Research
Link: https://www.sciencedirect.com/science/article/pii/S0022395625006521
Resource 2:
Title: Transgenerational effects of violence in adolescents exposed to grandmaternal intimate partner violence during pregnancy: Heart rate variability and DNA methylation
Authors: Nayara Cristina dos Santos Oliveira, Aline Furtado Bastos, Fernanda Serpeloni, & Simone Gonçalves de Assis
Publication: Behavioural Brain Research
Link: https://www.sciencedirect.com/science/article/abs/pii/S0166432825004735
Resource 3:
Title: The role of separation anxiety and autonomic dysregulation in pediatric vasovagal syncope. A cross-sectional study
Authors: Gaia Cuzzocrea, Andrea Fontana, Cristiana Alessia Guido, Marta Mascanzoni, Alberto Spalice, Camilla Guccione, Angelos Halaris, Stephen Porges, Lucia Sideli, & Vincenzo Caretti
Publication: Journal of Psychiatric Research
Link: https://www.sciencedirect.com/science/article/abs/pii/S0022395625006351
Resource 4:
Title: Acute cardiovascular and cerebral blood flow responses to high-frequency, low-amplitude vibration on the neck
Authors: Viet Q Dinh, Malinda Hansen, K Austin Davis, Lindsey Peralez, & Caroline A Rickards
Publication: Journal of Applied Physiology (via PMC)
Link: https://pmc.ncbi.nlm.nih.gov/articles/PMC12551627/
Resource 5:
Title: Autonomic Flexibility and Early Treatment Success: Heart Rate Variability Predicts Remission in First-Episode Psychosis
Authors: Judith Rohde, Samantha Weber, Mateo de Bardeci, Aygün Ertuğrul, Grammato Amexi, Eva Schultz, & Sebastian Olbrich
Publication: Schizophrenia Bulletin
Link: https://academic.oup.com/schizophreniabulletin/advance-article/doi/10.1093/schbul/sbaf191/8305265?login=false
Resource 6:
Title: Interplay between ke...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:15:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Halloween Special]]>
                </title>
                <pubDate>Fri, 31 Oct 2025 13:37:17 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2177151</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/halloween</link>
                                <description>
                                            <![CDATA[<p><strong>Show Notes</strong></p>
<p><strong>Resource 1:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Top 50 scariest movies of 2025 (and Fright Night Physiology)</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> WISN.com / Science of Scare Project</span></p>
<p><strong>Link: </strong><a href="https://www.wisn.com/article/top-50-scariest-movies-2025/69140286"><span style="font-weight:400;">https://www.wisn.com/article/top-50-scariest-movies-2025/69140286</span></a></p>
<p><strong>Resource 2:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Heart Rate Variability as a Key to Regulation and Stress</span></p>
<p><strong>Author:</strong><span style="font-weight:400;"> D. N. Solomon</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Psychology Today</span></p>
<p><span style="font-weight:400;">Link: </span><a href="https://www.psychologytoday.com/us/blog/the-narrative-nurse-practitioner/202412/heart-rate-variability-as-a-key-to-regulation-and"><span style="font-weight:400;">https://www.psychologytoday.com/us/blog/the-narrative-nurse-practitioner/202412/heart-rate-variability-as-a-key-to-regulation-and</span></a></p>
<p><strong>Resource 3:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Haunted House, Healthy Heart</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Business Health Trust</span></p>
<p><strong>Link:</strong><a href="https://businesshealthtrust.com/news_insights/haunted-house-healthy-heart/"> <span style="font-weight:400;">https://businesshealthtrust.com/news_insights/haunted-house-healthy-heart/</span></a></p>
<p><strong>Resource 4:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Why Do We Love Being Scared? The Science Behind Horror Movies</span></p>
<p><strong>Author:</strong><span style="font-weight:400;"> A. Bennett</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Promega Connections</span></p>
<p><strong>Link:</strong> <a href="https://www.promegaconnections.com/the-science-behind-horror-movies/"><span style="font-weight:400;">https://www.promegaconnections.com/the-science-behind-horror-movies/</span></a></p>
<p><strong>Resource 5:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Playing With Fear: A Field Study in Recreational Horror</span></p>
<p><strong>Authors:</strong><span style="font-weight:400;"> M. M. Andersen, A. Coltan, et al.</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> PMC (via Emotion)</span></p>
<p><strong>Link:</strong> <a href="http://pmc.ncbi.nlm.nih.gov/articles/PMC7734554/"><span style="font-weight:400;">httpss://pmc.ncbi.nlm.nih.gov/articles/PMC7734554/</span></a></p>
<p><strong>Resource 6:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Scared together: Heart rate synchrony and social closeness in a high-intensity horror setting</span></p>
<p><strong>Authors:</strong><span style="font-weight:400;"> M. M. Andersen, et al.</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> PubMed (via Psychological Science)</span></p>
<p><strong>Link:</strong> <a href="https://pubmed.ncbi.nlm.nih.gov/40720311/"><span style="font-weight:400;">https://pubmed.ncbi.nlm.nih.gov/40720311/</span></a></p>
<p><strong>Resource 7:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> I tracked my heart rate through the 10 haunted houses of Halloween Horror Nights...</span></p>
<p><strong>Author:</strong><span style="font-weight:400;"> K. Weekman</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Yahoo.com</span></p>
<p><strong>Link:</strong> <a href="https://www.yahoo.com/entertainment/article/i-tracked-my-heart-rate-through-the-10-haunted-houses-of-halloween-horror-nights-heres-what-scared-me-most-180025551.html"><span style="font-weight:400;">https://www.yahoo.com/entertainment/article/i-tr...</span></a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Show Notes
Resource 1:
Title: Top 50 scariest movies of 2025 (and Fright Night Physiology)
Publication: WISN.com / Science of Scare Project
Link: https://www.wisn.com/article/top-50-scariest-movies-2025/69140286
Resource 2:
Title: Heart Rate Variability as a Key to Regulation and Stress
Author: D. N. Solomon
Publication: Psychology Today
Link: https://www.psychologytoday.com/us/blog/the-narrative-nurse-practitioner/202412/heart-rate-variability-as-a-key-to-regulation-and
Resource 3:
Title: Haunted House, Healthy Heart
Publication: Business Health Trust
Link: https://businesshealthtrust.com/news_insights/haunted-house-healthy-heart/
Resource 4:
Title: Why Do We Love Being Scared? The Science Behind Horror Movies
Author: A. Bennett
Publication: Promega Connections
Link: https://www.promegaconnections.com/the-science-behind-horror-movies/
Resource 5:
Title: Playing With Fear: A Field Study in Recreational Horror
Authors: M. M. Andersen, A. Coltan, et al.
Publication: PMC (via Emotion)
Link: httpss://pmc.ncbi.nlm.nih.gov/articles/PMC7734554/
Resource 6:
Title: Scared together: Heart rate synchrony and social closeness in a high-intensity horror setting
Authors: M. M. Andersen, et al.
Publication: PubMed (via Psychological Science)
Link: https://pubmed.ncbi.nlm.nih.gov/40720311/
Resource 7:
Title: I tracked my heart rate through the 10 haunted houses of Halloween Horror Nights...
Author: K. Weekman
Publication: Yahoo.com
Link: https://www.yahoo.com/entertainment/article/i-tr...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Halloween Special]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>Show Notes</strong></p>
<p><strong>Resource 1:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Top 50 scariest movies of 2025 (and Fright Night Physiology)</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> WISN.com / Science of Scare Project</span></p>
<p><strong>Link: </strong><a href="https://www.wisn.com/article/top-50-scariest-movies-2025/69140286"><span style="font-weight:400;">https://www.wisn.com/article/top-50-scariest-movies-2025/69140286</span></a></p>
<p><strong>Resource 2:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Heart Rate Variability as a Key to Regulation and Stress</span></p>
<p><strong>Author:</strong><span style="font-weight:400;"> D. N. Solomon</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Psychology Today</span></p>
<p><span style="font-weight:400;">Link: </span><a href="https://www.psychologytoday.com/us/blog/the-narrative-nurse-practitioner/202412/heart-rate-variability-as-a-key-to-regulation-and"><span style="font-weight:400;">https://www.psychologytoday.com/us/blog/the-narrative-nurse-practitioner/202412/heart-rate-variability-as-a-key-to-regulation-and</span></a></p>
<p><strong>Resource 3:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Haunted House, Healthy Heart</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Business Health Trust</span></p>
<p><strong>Link:</strong><a href="https://businesshealthtrust.com/news_insights/haunted-house-healthy-heart/"> <span style="font-weight:400;">https://businesshealthtrust.com/news_insights/haunted-house-healthy-heart/</span></a></p>
<p><strong>Resource 4:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Why Do We Love Being Scared? The Science Behind Horror Movies</span></p>
<p><strong>Author:</strong><span style="font-weight:400;"> A. Bennett</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Promega Connections</span></p>
<p><strong>Link:</strong> <a href="https://www.promegaconnections.com/the-science-behind-horror-movies/"><span style="font-weight:400;">https://www.promegaconnections.com/the-science-behind-horror-movies/</span></a></p>
<p><strong>Resource 5:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Playing With Fear: A Field Study in Recreational Horror</span></p>
<p><strong>Authors:</strong><span style="font-weight:400;"> M. M. Andersen, A. Coltan, et al.</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> PMC (via Emotion)</span></p>
<p><strong>Link:</strong> <a href="http://pmc.ncbi.nlm.nih.gov/articles/PMC7734554/"><span style="font-weight:400;">httpss://pmc.ncbi.nlm.nih.gov/articles/PMC7734554/</span></a></p>
<p><strong>Resource 6:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Scared together: Heart rate synchrony and social closeness in a high-intensity horror setting</span></p>
<p><strong>Authors:</strong><span style="font-weight:400;"> M. M. Andersen, et al.</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> PubMed (via Psychological Science)</span></p>
<p><strong>Link:</strong> <a href="https://pubmed.ncbi.nlm.nih.gov/40720311/"><span style="font-weight:400;">https://pubmed.ncbi.nlm.nih.gov/40720311/</span></a></p>
<p><strong>Resource 7:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> I tracked my heart rate through the 10 haunted houses of Halloween Horror Nights...</span></p>
<p><strong>Author:</strong><span style="font-weight:400;"> K. Weekman</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Yahoo.com</span></p>
<p><strong>Link:</strong> <a href="https://www.yahoo.com/entertainment/article/i-tracked-my-heart-rate-through-the-10-haunted-houses-of-halloween-horror-nights-heres-what-scared-me-most-180025551.html"><span style="font-weight:400;">https://www.yahoo.com/entertainment/article/i-tracked-my-heart-rate-through-the-10-haunted-houses-of-halloween-horror-nights-heres-what-scared-me-most-180025551.html</span></a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2177151/c1e-dr92fmn1d8f0z0j5-34mxooj6a6x-bbedn3.mp3" length="12307507"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Show Notes
Resource 1:
Title: Top 50 scariest movies of 2025 (and Fright Night Physiology)
Publication: WISN.com / Science of Scare Project
Link: https://www.wisn.com/article/top-50-scariest-movies-2025/69140286
Resource 2:
Title: Heart Rate Variability as a Key to Regulation and Stress
Author: D. N. Solomon
Publication: Psychology Today
Link: https://www.psychologytoday.com/us/blog/the-narrative-nurse-practitioner/202412/heart-rate-variability-as-a-key-to-regulation-and
Resource 3:
Title: Haunted House, Healthy Heart
Publication: Business Health Trust
Link: https://businesshealthtrust.com/news_insights/haunted-house-healthy-heart/
Resource 4:
Title: Why Do We Love Being Scared? The Science Behind Horror Movies
Author: A. Bennett
Publication: Promega Connections
Link: https://www.promegaconnections.com/the-science-behind-horror-movies/
Resource 5:
Title: Playing With Fear: A Field Study in Recreational Horror
Authors: M. M. Andersen, A. Coltan, et al.
Publication: PMC (via Emotion)
Link: httpss://pmc.ncbi.nlm.nih.gov/articles/PMC7734554/
Resource 6:
Title: Scared together: Heart rate synchrony and social closeness in a high-intensity horror setting
Authors: M. M. Andersen, et al.
Publication: PubMed (via Psychological Science)
Link: https://pubmed.ncbi.nlm.nih.gov/40720311/
Resource 7:
Title: I tracked my heart rate through the 10 haunted houses of Halloween Horror Nights...
Author: K. Weekman
Publication: Yahoo.com
Link: https://www.yahoo.com/entertainment/article/i-tr...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:08:32</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 28 Oct 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2173032</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-9</link>
                                <description>
                                            <![CDATA[<p><strong>Show Notes</strong></p>
<p><strong>Resource 1:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Pleasant odors specifically promote a soothing autonomic response and brain–body coupling through respiratory modulation</span></p>
<p><strong>Authors:</strong><span style="font-weight:400;"> Valentin Ghibaudo, Matthias Turrel, Jules Granget, Maëlys Souilhol, Samuel Garcia, Jane Plailly &amp; Nathalie Buonviso</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Scientific Reports</span></p>
<p><strong>Link:</strong><a href="https://www.nature.com/articles/s41598-025-20422-x"> <span style="font-weight:400;">https://www.nature.com/articles/s41598-025-20422-x</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 2:</strong></p>
<p><span style="font-weight:400;">Title: Improved non-invasive detection of sleep stages when combining skin sympathetic nerve activity and heart rate variability analysis with AI</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Md. Aktaruzzaman &amp; Thomas H. Everett IV</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Scientific Reports</span></p>
<p><strong>Link: </strong><a href="https://www.nature.com/articles/s41598-025-20282-5"><span style="font-weight:400;">https://www.nature.com/articles/s41598-025-20282-5</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 3:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Increased sleep apnea-specific hypoxic burden is independently associated with cardiovascular autonomic dysfunction in obstructive sleep apnea: A large-scale study</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Chenyang Li, Zhenger Zhou, Xiaozhen Zhang, Enhui Zhou, Tianjiao Zhou, Jingyu Zhang, Xinyi Li, Jianyin Zou, Huajun Xu, Jian Guan, Yupu Liu, Suru Liu, Xiaoyue Zhu, Weijun Huang, Hongliang Yi, Shankai Yin</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Sleep Medicine</span></p>
<p><strong>Link:</strong><a href="https://www.sciencedirect.com/science/article/abs/pii/S1389945725005386"> <span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S1389945725005386</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 4:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Strengthening the heart by means of a gratitude intervention?</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Andreas R. Schwerdtfeger, Claudia Traunmüller, Bernhard Weber &amp; Christian Rominger</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">The Journal of Positive Psychology</span></p>
<p><strong>Link: </strong><a href="https://www.tandfonline.com/doi/full/10.1080/17439760.2025.2574048?af=R#abstract"><span style="font-weight:400;">https://www.tandfonline.com/doi/full/10.1080/17439760.2025.2574048?af=R#abstract</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 5:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Child and marital stress are associated with a psychophysiological index of self-regulatory capacities among parents of preschool children</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Sasha MacNeil, Chelsea da Estrela, Warren Caldwell, Jean-Philippe Gouin</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">International Journal of Psychophysiology</span></p>
<p><strong>Link: </strong><a href="https://www.sciencedirect.com/science/article/pii/S0167876025007470?via%3Dihub"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/pii/S0167876025007470?via%3Dihub</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 6:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Factors influencing heart rate variability in nurses following night shifts: a prospective observational clinical study</span></p>
<p><strong>Authors: </strong><span></span></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Show Notes
Resource 1:
Title: Pleasant odors specifically promote a soothing autonomic response and brain–body coupling through respiratory modulation
Authors: Valentin Ghibaudo, Matthias Turrel, Jules Granget, Maëlys Souilhol, Samuel Garcia, Jane Plailly & Nathalie Buonviso
Publication: Scientific Reports
Link: https://www.nature.com/articles/s41598-025-20422-x

Resource 2:
Title: Improved non-invasive detection of sleep stages when combining skin sympathetic nerve activity and heart rate variability analysis with AI
Authors: Md. Aktaruzzaman & Thomas H. Everett IV
Publication: Scientific Reports
Link: https://www.nature.com/articles/s41598-025-20282-5

Resource 3:
Title: Increased sleep apnea-specific hypoxic burden is independently associated with cardiovascular autonomic dysfunction in obstructive sleep apnea: A large-scale study
Authors: Chenyang Li, Zhenger Zhou, Xiaozhen Zhang, Enhui Zhou, Tianjiao Zhou, Jingyu Zhang, Xinyi Li, Jianyin Zou, Huajun Xu, Jian Guan, Yupu Liu, Suru Liu, Xiaoyue Zhu, Weijun Huang, Hongliang Yi, Shankai Yin
Publication: Sleep Medicine
Link: https://www.sciencedirect.com/science/article/abs/pii/S1389945725005386

Resource 4:
Title: Strengthening the heart by means of a gratitude intervention?
Authors: Andreas R. Schwerdtfeger, Claudia Traunmüller, Bernhard Weber & Christian Rominger
Publication: The Journal of Positive Psychology
Link: https://www.tandfonline.com/doi/full/10.1080/17439760.2025.2574048?af=R#abstract

Resource 5:
Title: Child and marital stress are associated with a psychophysiological index of self-regulatory capacities among parents of preschool children
Authors: Sasha MacNeil, Chelsea da Estrela, Warren Caldwell, Jean-Philippe Gouin
Publication: International Journal of Psychophysiology
Link: https://www.sciencedirect.com/science/article/pii/S0167876025007470?via%3Dihub

Resource 6:
Title: Factors influencing heart rate variability in nurses following night shifts: a prospective observational clinical study
Authors: ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>9</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>Show Notes</strong></p>
<p><strong>Resource 1:</strong></p>
<p><strong>Title:</strong><span style="font-weight:400;"> Pleasant odors specifically promote a soothing autonomic response and brain–body coupling through respiratory modulation</span></p>
<p><strong>Authors:</strong><span style="font-weight:400;"> Valentin Ghibaudo, Matthias Turrel, Jules Granget, Maëlys Souilhol, Samuel Garcia, Jane Plailly &amp; Nathalie Buonviso</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Scientific Reports</span></p>
<p><strong>Link:</strong><a href="https://www.nature.com/articles/s41598-025-20422-x"> <span style="font-weight:400;">https://www.nature.com/articles/s41598-025-20422-x</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 2:</strong></p>
<p><span style="font-weight:400;">Title: Improved non-invasive detection of sleep stages when combining skin sympathetic nerve activity and heart rate variability analysis with AI</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Md. Aktaruzzaman &amp; Thomas H. Everett IV</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> Scientific Reports</span></p>
<p><strong>Link: </strong><a href="https://www.nature.com/articles/s41598-025-20282-5"><span style="font-weight:400;">https://www.nature.com/articles/s41598-025-20282-5</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 3:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Increased sleep apnea-specific hypoxic burden is independently associated with cardiovascular autonomic dysfunction in obstructive sleep apnea: A large-scale study</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Chenyang Li, Zhenger Zhou, Xiaozhen Zhang, Enhui Zhou, Tianjiao Zhou, Jingyu Zhang, Xinyi Li, Jianyin Zou, Huajun Xu, Jian Guan, Yupu Liu, Suru Liu, Xiaoyue Zhu, Weijun Huang, Hongliang Yi, Shankai Yin</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">Sleep Medicine</span></p>
<p><strong>Link:</strong><a href="https://www.sciencedirect.com/science/article/abs/pii/S1389945725005386"> <span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S1389945725005386</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 4:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Strengthening the heart by means of a gratitude intervention?</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Andreas R. Schwerdtfeger, Claudia Traunmüller, Bernhard Weber &amp; Christian Rominger</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">The Journal of Positive Psychology</span></p>
<p><strong>Link: </strong><a href="https://www.tandfonline.com/doi/full/10.1080/17439760.2025.2574048?af=R#abstract"><span style="font-weight:400;">https://www.tandfonline.com/doi/full/10.1080/17439760.2025.2574048?af=R#abstract</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 5:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Child and marital stress are associated with a psychophysiological index of self-regulatory capacities among parents of preschool children</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Sasha MacNeil, Chelsea da Estrela, Warren Caldwell, Jean-Philippe Gouin</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">International Journal of Psychophysiology</span></p>
<p><strong>Link: </strong><a href="https://www.sciencedirect.com/science/article/pii/S0167876025007470?via%3Dihub"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/pii/S0167876025007470?via%3Dihub</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 6:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Factors influencing heart rate variability in nurses following night shifts: a prospective observational clinical study</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Taihe Zhan, Ziying Zhang, Zhimin Shi, Hongyan Xie, Daogang Zha &amp; Xiumei Wei</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">BMC Nursing</span></p>
<p><strong>Link: </strong><a href="http://bmcnurs.biomedcentral.com/articles/10.1186/s12912-025-03975-0"><span style="font-weight:400;">httpsD://bmcnurs.biomedcentral.com/articles/10.1186/s12912-025-03975-0</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 7:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">Heart Rate Variability Biofeedback and Mental Stress Myocardial Flow Reserve: A Randomized Clinical Trial</span></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Amit J. Shah, Paolo Raggi, Hua She, et al.</span></p>
<p><strong>Publication: </strong><span style="font-weight:400;">JAMA Network Open</span></p>
<p><strong>Link: </strong><a href="https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2840378"><span style="font-weight:400;">https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2840378</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 8:</strong></p>
<p><strong>Title: </strong><span style="font-weight:400;">VCU research in action: Teaching patients to take a deep breath</span></p>
<p><strong>Author: </strong><span style="font-weight:400;">Olivia Trani</span></p>
<p><strong>Publication:</strong><span style="font-weight:400;"> VCU News</span></p>
<p><strong>Link: </strong><a href="https://news.vcu.edu/article/2025/10/vcu-research-in-action-teaching-patients-to-take-a-deep-breath"><span style="font-weight:400;">https://news.vcu.edu/article/2025/10/vcu-research-in-action-teaching-patients-to-take-a-deep-breath</span></a></p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Show Notes
Resource 1:
Title: Pleasant odors specifically promote a soothing autonomic response and brain–body coupling through respiratory modulation
Authors: Valentin Ghibaudo, Matthias Turrel, Jules Granget, Maëlys Souilhol, Samuel Garcia, Jane Plailly & Nathalie Buonviso
Publication: Scientific Reports
Link: https://www.nature.com/articles/s41598-025-20422-x

Resource 2:
Title: Improved non-invasive detection of sleep stages when combining skin sympathetic nerve activity and heart rate variability analysis with AI
Authors: Md. Aktaruzzaman & Thomas H. Everett IV
Publication: Scientific Reports
Link: https://www.nature.com/articles/s41598-025-20282-5

Resource 3:
Title: Increased sleep apnea-specific hypoxic burden is independently associated with cardiovascular autonomic dysfunction in obstructive sleep apnea: A large-scale study
Authors: Chenyang Li, Zhenger Zhou, Xiaozhen Zhang, Enhui Zhou, Tianjiao Zhou, Jingyu Zhang, Xinyi Li, Jianyin Zou, Huajun Xu, Jian Guan, Yupu Liu, Suru Liu, Xiaoyue Zhu, Weijun Huang, Hongliang Yi, Shankai Yin
Publication: Sleep Medicine
Link: https://www.sciencedirect.com/science/article/abs/pii/S1389945725005386

Resource 4:
Title: Strengthening the heart by means of a gratitude intervention?
Authors: Andreas R. Schwerdtfeger, Claudia Traunmüller, Bernhard Weber & Christian Rominger
Publication: The Journal of Positive Psychology
Link: https://www.tandfonline.com/doi/full/10.1080/17439760.2025.2574048?af=R#abstract

Resource 5:
Title: Child and marital stress are associated with a psychophysiological index of self-regulatory capacities among parents of preschool children
Authors: Sasha MacNeil, Chelsea da Estrela, Warren Caldwell, Jean-Philippe Gouin
Publication: International Journal of Psychophysiology
Link: https://www.sciencedirect.com/science/article/pii/S0167876025007470?via%3Dihub

Resource 6:
Title: Factors influencing heart rate variability in nurses following night shifts: a prospective observational clinical study
Authors: ]]>
                </itunes:summary>
                                                                            <itunes:duration>00:22:19</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[What is Resonance Frequency Breathing - Explained]]>
                </title>
                <pubDate>Thu, 23 Oct 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2168925</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/what-is-resonance-frequency-breathing-explained</link>
                                <description>
                                            <![CDATA[<h3>Resonance Frequency Breathing Explained</h3>
<p>In this solo episode of the Heart Rate Variability Podcast, Matt Bennett explores the science and practicality of resonance frequency breathing, a term he notices is often misused. He introduces his AI counterpart, AI Matt, to present the research on resonance frequency breathing, which involves finding a natural rhythm for breathing that aligns with the body's optimal pace. Matt aims to delve into the correct usage of this term, discuss its scientific basis, and share practical applications in the episode.</p>
<h3>Resonance Frequency Breathing Techniques</h3>
<p>Matt discussed resonance frequency breathing, explaining that while 6 breaths per minute is often cited, the actual rate can vary based on factors like height. He noted that trained biofeedback practitioners have observed rates as low as 3.5 breaths per minute in special operators and professional athletes. Matt emphasized the importance of synchronization between the heart, breath, and nervous system, as well as the impact on brain functioning.</p>
<h3>Resonance Frequency Breathing Assessment</h3>
<p>Matt discussed the concept of resonance frequency breathing, noting that while research suggests an average of 6 breaths per minute, individual rates can vary widely. He explained that resonance frequency assessments involve gradually reducing breathing rate from 7 to 3.5 breaths per minute to find the rate that maximizes HRV. Matt emphasized that while height may influence resonance frequency, factors like fitness and body mass could also affect it, particularly for former athletes. He recommended practicing paced breathing before taking the assessment and suggested that repeated testing might show small changes in breathing rate over time.</p>
<h3>Breathing Patterns and Resonance Frequency</h3>
<p>Matt discussed the importance of regularly reassessing one's resonance frequency breathing to ensure accuracy, especially if consistent readings are obtained over several months without significant lifestyle changes. He shared his personal experience with adjusting his breathing patterns, including experimenting with a 4.5 to 3.5 breaths per minute rate and a 2:1 inhale-to-exhale ratio, inspired by recent research suggesting extended exhales can improve low-frequency heart rate variability. Matt emphasized the significance of personalized assessments using tools like the OptimalHRV app to determine optimal breathing patterns and encouraged others to explore different breathing techniques for maximum impact.</p>
<h3>Residence Frequency Breathing Assessment</h3>
<p>Matt discussed the importance of practicing residence frequency breathing assessment and emphasized the value of this technique in maximizing breathwork practices. He noted that while the concept is gaining recognition among fitness influencers and in peer-reviewed research, the full impact of the science is often overlooked in blog posts. Matt planned to include relevant research in the show notes and promised to cover this topic further in the next episode.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Resonance Frequency Breathing Explained
In this solo episode of the Heart Rate Variability Podcast, Matt Bennett explores the science and practicality of resonance frequency breathing, a term he notices is often misused. He introduces his AI counterpart, AI Matt, to present the research on resonance frequency breathing, which involves finding a natural rhythm for breathing that aligns with the body's optimal pace. Matt aims to delve into the correct usage of this term, discuss its scientific basis, and share practical applications in the episode.
Resonance Frequency Breathing Techniques
Matt discussed resonance frequency breathing, explaining that while 6 breaths per minute is often cited, the actual rate can vary based on factors like height. He noted that trained biofeedback practitioners have observed rates as low as 3.5 breaths per minute in special operators and professional athletes. Matt emphasized the importance of synchronization between the heart, breath, and nervous system, as well as the impact on brain functioning.
Resonance Frequency Breathing Assessment
Matt discussed the concept of resonance frequency breathing, noting that while research suggests an average of 6 breaths per minute, individual rates can vary widely. He explained that resonance frequency assessments involve gradually reducing breathing rate from 7 to 3.5 breaths per minute to find the rate that maximizes HRV. Matt emphasized that while height may influence resonance frequency, factors like fitness and body mass could also affect it, particularly for former athletes. He recommended practicing paced breathing before taking the assessment and suggested that repeated testing might show small changes in breathing rate over time.
Breathing Patterns and Resonance Frequency
Matt discussed the importance of regularly reassessing one's resonance frequency breathing to ensure accuracy, especially if consistent readings are obtained over several months without significant lifestyle changes. He shared his personal experience with adjusting his breathing patterns, including experimenting with a 4.5 to 3.5 breaths per minute rate and a 2:1 inhale-to-exhale ratio, inspired by recent research suggesting extended exhales can improve low-frequency heart rate variability. Matt emphasized the significance of personalized assessments using tools like the OptimalHRV app to determine optimal breathing patterns and encouraged others to explore different breathing techniques for maximum impact.
Residence Frequency Breathing Assessment
Matt discussed the importance of practicing residence frequency breathing assessment and emphasized the value of this technique in maximizing breathwork practices. He noted that while the concept is gaining recognition among fitness influencers and in peer-reviewed research, the full impact of the science is often overlooked in blog posts. Matt planned to include relevant research in the show notes and promised to cover this topic further in the next episode.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[What is Resonance Frequency Breathing - Explained]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h3>Resonance Frequency Breathing Explained</h3>
<p>In this solo episode of the Heart Rate Variability Podcast, Matt Bennett explores the science and practicality of resonance frequency breathing, a term he notices is often misused. He introduces his AI counterpart, AI Matt, to present the research on resonance frequency breathing, which involves finding a natural rhythm for breathing that aligns with the body's optimal pace. Matt aims to delve into the correct usage of this term, discuss its scientific basis, and share practical applications in the episode.</p>
<h3>Resonance Frequency Breathing Techniques</h3>
<p>Matt discussed resonance frequency breathing, explaining that while 6 breaths per minute is often cited, the actual rate can vary based on factors like height. He noted that trained biofeedback practitioners have observed rates as low as 3.5 breaths per minute in special operators and professional athletes. Matt emphasized the importance of synchronization between the heart, breath, and nervous system, as well as the impact on brain functioning.</p>
<h3>Resonance Frequency Breathing Assessment</h3>
<p>Matt discussed the concept of resonance frequency breathing, noting that while research suggests an average of 6 breaths per minute, individual rates can vary widely. He explained that resonance frequency assessments involve gradually reducing breathing rate from 7 to 3.5 breaths per minute to find the rate that maximizes HRV. Matt emphasized that while height may influence resonance frequency, factors like fitness and body mass could also affect it, particularly for former athletes. He recommended practicing paced breathing before taking the assessment and suggested that repeated testing might show small changes in breathing rate over time.</p>
<h3>Breathing Patterns and Resonance Frequency</h3>
<p>Matt discussed the importance of regularly reassessing one's resonance frequency breathing to ensure accuracy, especially if consistent readings are obtained over several months without significant lifestyle changes. He shared his personal experience with adjusting his breathing patterns, including experimenting with a 4.5 to 3.5 breaths per minute rate and a 2:1 inhale-to-exhale ratio, inspired by recent research suggesting extended exhales can improve low-frequency heart rate variability. Matt emphasized the significance of personalized assessments using tools like the OptimalHRV app to determine optimal breathing patterns and encouraged others to explore different breathing techniques for maximum impact.</p>
<h3>Residence Frequency Breathing Assessment</h3>
<p>Matt discussed the importance of practicing residence frequency breathing assessment and emphasized the value of this technique in maximizing breathwork practices. He noted that while the concept is gaining recognition among fitness influencers and in peer-reviewed research, the full impact of the science is often overlooked in blog posts. Matt planned to include relevant research in the show notes and promised to cover this topic further in the next episode.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Resonance Frequency Breathing Explained
In this solo episode of the Heart Rate Variability Podcast, Matt Bennett explores the science and practicality of resonance frequency breathing, a term he notices is often misused. He introduces his AI counterpart, AI Matt, to present the research on resonance frequency breathing, which involves finding a natural rhythm for breathing that aligns with the body's optimal pace. Matt aims to delve into the correct usage of this term, discuss its scientific basis, and share practical applications in the episode.
Resonance Frequency Breathing Techniques
Matt discussed resonance frequency breathing, explaining that while 6 breaths per minute is often cited, the actual rate can vary based on factors like height. He noted that trained biofeedback practitioners have observed rates as low as 3.5 breaths per minute in special operators and professional athletes. Matt emphasized the importance of synchronization between the heart, breath, and nervous system, as well as the impact on brain functioning.
Resonance Frequency Breathing Assessment
Matt discussed the concept of resonance frequency breathing, noting that while research suggests an average of 6 breaths per minute, individual rates can vary widely. He explained that resonance frequency assessments involve gradually reducing breathing rate from 7 to 3.5 breaths per minute to find the rate that maximizes HRV. Matt emphasized that while height may influence resonance frequency, factors like fitness and body mass could also affect it, particularly for former athletes. He recommended practicing paced breathing before taking the assessment and suggested that repeated testing might show small changes in breathing rate over time.
Breathing Patterns and Resonance Frequency
Matt discussed the importance of regularly reassessing one's resonance frequency breathing to ensure accuracy, especially if consistent readings are obtained over several months without significant lifestyle changes. He shared his personal experience with adjusting his breathing patterns, including experimenting with a 4.5 to 3.5 breaths per minute rate and a 2:1 inhale-to-exhale ratio, inspired by recent research suggesting extended exhales can improve low-frequency heart rate variability. Matt emphasized the significance of personalized assessments using tools like the OptimalHRV app to determine optimal breathing patterns and encouraged others to explore different breathing techniques for maximum impact.
Residence Frequency Breathing Assessment
Matt discussed the importance of practicing residence frequency breathing assessment and emphasized the value of this technique in maximizing breathwork practices. He noted that while the concept is gaining recognition among fitness influencers and in peer-reviewed research, the full impact of the science is often overlooked in blog posts. Matt planned to include relevant research in the show notes and promised to cover this topic further in the next episode.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2168925/c1a-rqx3-wwpx102qc13-no0n0r.png"></itunes:image>
                                                                            <itunes:duration>00:19:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 21 Oct 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2169145</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-8</link>
                                <description>
                                            <![CDATA[<h3><strong>Show Notes</strong></h3>
<p><strong>Resource 1:</strong></p>
<p><strong>Title: The relationship between heart rate variability and affective disorders: associations with symptomatic improvement and therapeutic alliance</strong></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Alexandra F. Gonçalves, Eugénia Ribeiro, Adriana Sampaio, Natividade S. Couto-Pereira, Pedro Moreira &amp; Joana F. Coutinho</span></p>
<p><strong>Publication: BMC Psychology</strong></p>
<p><a href="https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-025-02960-1"><strong>Link:</strong><span style="font-weight:400;"> https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-025-02960-1</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 2:</strong></p>
<p><strong>Title: Development and validation of the socio-evaluative N-back task to investigate the impact of acute social stress on working memory</strong></p>
<p><span style="font-weight:400;"><strong>Authors:</strong> Matthias Haucke, Sabrina Golde &amp; Stephan Heinzel</span></p>
<p><strong>Publication: Scientific Reports</strong></p>
<p><a href="https://www.nature.com/articles/s41598-025-22611-0"><strong>Link:</strong><span style="font-weight:400;"> https://www.nature.com/articles/s41598-025-22611-0</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 3:</strong></p>
<p><strong>Title: Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study</strong></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Hayoung Oh, Hunmin Do, Chaehyun Maeng, Jinsuk Park, Taejun Yoon, Jihwan Kim, Hyeran Hwang, Seoin Choi, &amp; Piao Huilin</span></p>
<p><strong>Publication: Journal of Medical Internet Research</strong></p>
<p><a href="https://www.jmir.org/2025/1/e69045"><strong>Link: </strong><span style="font-weight:400;">https://www.jmir.org/2025/1/e69045</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 4:</strong></p>
<p><strong>Title: Non-invasive cardiovascular risk stratification in type 2 diabetes: a pulse wave and pulse rate variability analysis with machine learning</strong></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Saurav Kumar, Apakrita Tayade, Amber Shrivastava, &amp; Ravi Bhallamudi</span></p>
<p><strong>Publication: Biomedical Signal Processing and Control (via Science Direct)</strong></p>
<p><a href="https://www.sciencedirect.com/science/article/abs/pii/S1746809425014491"><strong>Link: </strong><span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S1746809425014491</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 5:</strong></p>
<p><strong>Title: How Tracking Your Health Metrics Can Help You Live Longer</strong></p>
<p><strong>Author:</strong><span style="font-weight:400;"> Alice Park (Interview with Zahi Fayad)</span></p>
<p><strong>Publication: TIME</strong></p>
<p><a href="https://time.com/7324741/health-metrics-tracking-live-longer/"><strong>Link: </strong><span style="font-weight:400;">https://time.com/7324741/health-metrics-tracking-live-longer/</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 6:</strong></p>
<p><strong>Title: Stressed at Work? Your Heart Disease Risk Just Jumped 50%. Here’s the One Number That Shows How to Fight Back</strong></p>
<p><strong>Author: </strong><span style="font-weight:400;">Julien Raby</span></p>
<p><strong>Publication:</strong> <strong>BoxLife Magazine</strong></p>
<p><a href="https://boxlifemagazine.com/boost-heart-resilience-by-tracking-hrv/"><strong>Link:</strong><span style="font-weight:400;"> https://boxlifemagazine.com/boost-heart-resilience-by-tracking-hrv/</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 7:</strong></p>
<p><strong>Title: “Resonance Breathing” Is The Anti-Stress Hack You Can Do Anywhere</strong></p>
<p><strong>Author: </strong><span style="font-weight:400;">Carolyn Steber</span></p>
<p><strong>Publication:...</strong></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Show Notes
Resource 1:
Title: The relationship between heart rate variability and affective disorders: associations with symptomatic improvement and therapeutic alliance
Authors: Alexandra F. Gonçalves, Eugénia Ribeiro, Adriana Sampaio, Natividade S. Couto-Pereira, Pedro Moreira & Joana F. Coutinho
Publication: BMC Psychology
Link: https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-025-02960-1

Resource 2:
Title: Development and validation of the socio-evaluative N-back task to investigate the impact of acute social stress on working memory
Authors: Matthias Haucke, Sabrina Golde & Stephan Heinzel
Publication: Scientific Reports
Link: https://www.nature.com/articles/s41598-025-22611-0

Resource 3:
Title: Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study
Authors: Hayoung Oh, Hunmin Do, Chaehyun Maeng, Jinsuk Park, Taejun Yoon, Jihwan Kim, Hyeran Hwang, Seoin Choi, & Piao Huilin
Publication: Journal of Medical Internet Research
Link: https://www.jmir.org/2025/1/e69045

Resource 4:
Title: Non-invasive cardiovascular risk stratification in type 2 diabetes: a pulse wave and pulse rate variability analysis with machine learning
Authors: Saurav Kumar, Apakrita Tayade, Amber Shrivastava, & Ravi Bhallamudi
Publication: Biomedical Signal Processing and Control (via Science Direct)
Link: https://www.sciencedirect.com/science/article/abs/pii/S1746809425014491

Resource 5:
Title: How Tracking Your Health Metrics Can Help You Live Longer
Author: Alice Park (Interview with Zahi Fayad)
Publication: TIME
Link: https://time.com/7324741/health-metrics-tracking-live-longer/

Resource 6:
Title: Stressed at Work? Your Heart Disease Risk Just Jumped 50%. Here’s the One Number That Shows How to Fight Back
Author: Julien Raby
Publication: BoxLife Magazine
Link: https://boxlifemagazine.com/boost-heart-resilience-by-tracking-hrv/

Resource 7:
Title: “Resonance Breathing” Is The Anti-Stress Hack You Can Do Anywhere
Author: Carolyn Steber
Publication:...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>8</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h3><strong>Show Notes</strong></h3>
<p><strong>Resource 1:</strong></p>
<p><strong>Title: The relationship between heart rate variability and affective disorders: associations with symptomatic improvement and therapeutic alliance</strong></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Alexandra F. Gonçalves, Eugénia Ribeiro, Adriana Sampaio, Natividade S. Couto-Pereira, Pedro Moreira &amp; Joana F. Coutinho</span></p>
<p><strong>Publication: BMC Psychology</strong></p>
<p><a href="https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-025-02960-1"><strong>Link:</strong><span style="font-weight:400;"> https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-025-02960-1</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 2:</strong></p>
<p><strong>Title: Development and validation of the socio-evaluative N-back task to investigate the impact of acute social stress on working memory</strong></p>
<p><span style="font-weight:400;"><strong>Authors:</strong> Matthias Haucke, Sabrina Golde &amp; Stephan Heinzel</span></p>
<p><strong>Publication: Scientific Reports</strong></p>
<p><a href="https://www.nature.com/articles/s41598-025-22611-0"><strong>Link:</strong><span style="font-weight:400;"> https://www.nature.com/articles/s41598-025-22611-0</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 3:</strong></p>
<p><strong>Title: Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study</strong></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Hayoung Oh, Hunmin Do, Chaehyun Maeng, Jinsuk Park, Taejun Yoon, Jihwan Kim, Hyeran Hwang, Seoin Choi, &amp; Piao Huilin</span></p>
<p><strong>Publication: Journal of Medical Internet Research</strong></p>
<p><a href="https://www.jmir.org/2025/1/e69045"><strong>Link: </strong><span style="font-weight:400;">https://www.jmir.org/2025/1/e69045</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 4:</strong></p>
<p><strong>Title: Non-invasive cardiovascular risk stratification in type 2 diabetes: a pulse wave and pulse rate variability analysis with machine learning</strong></p>
<p><strong>Authors: </strong><span style="font-weight:400;">Saurav Kumar, Apakrita Tayade, Amber Shrivastava, &amp; Ravi Bhallamudi</span></p>
<p><strong>Publication: Biomedical Signal Processing and Control (via Science Direct)</strong></p>
<p><a href="https://www.sciencedirect.com/science/article/abs/pii/S1746809425014491"><strong>Link: </strong><span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S1746809425014491</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 5:</strong></p>
<p><strong>Title: How Tracking Your Health Metrics Can Help You Live Longer</strong></p>
<p><strong>Author:</strong><span style="font-weight:400;"> Alice Park (Interview with Zahi Fayad)</span></p>
<p><strong>Publication: TIME</strong></p>
<p><a href="https://time.com/7324741/health-metrics-tracking-live-longer/"><strong>Link: </strong><span style="font-weight:400;">https://time.com/7324741/health-metrics-tracking-live-longer/</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 6:</strong></p>
<p><strong>Title: Stressed at Work? Your Heart Disease Risk Just Jumped 50%. Here’s the One Number That Shows How to Fight Back</strong></p>
<p><strong>Author: </strong><span style="font-weight:400;">Julien Raby</span></p>
<p><strong>Publication:</strong> <strong>BoxLife Magazine</strong></p>
<p><a href="https://boxlifemagazine.com/boost-heart-resilience-by-tracking-hrv/"><strong>Link:</strong><span style="font-weight:400;"> https://boxlifemagazine.com/boost-heart-resilience-by-tracking-hrv/</span></a></p>
<p><br /><br /></p>
<p><strong>Resource 7:</strong></p>
<p><strong>Title: “Resonance Breathing” Is The Anti-Stress Hack You Can Do Anywhere</strong></p>
<p><strong>Author: </strong><span style="font-weight:400;">Carolyn Steber</span></p>
<p><strong>Publication: Bustle</strong></p>
<p><a href="https://www.bustle.com/wellness/resonance-frequency-breathing-stress-hack"><strong>Link: </strong><span style="font-weight:400;">https://www.bustle.com/wellness/resonance-frequency-breathing-stress-hack</span></a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2169145/c1e-5wmoi1599ninknzj-xxgoqnxzcp43-ipp1sa.mp3" length="35490449"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Show Notes
Resource 1:
Title: The relationship between heart rate variability and affective disorders: associations with symptomatic improvement and therapeutic alliance
Authors: Alexandra F. Gonçalves, Eugénia Ribeiro, Adriana Sampaio, Natividade S. Couto-Pereira, Pedro Moreira & Joana F. Coutinho
Publication: BMC Psychology
Link: https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-025-02960-1

Resource 2:
Title: Development and validation of the socio-evaluative N-back task to investigate the impact of acute social stress on working memory
Authors: Matthias Haucke, Sabrina Golde & Stephan Heinzel
Publication: Scientific Reports
Link: https://www.nature.com/articles/s41598-025-22611-0

Resource 3:
Title: Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study
Authors: Hayoung Oh, Hunmin Do, Chaehyun Maeng, Jinsuk Park, Taejun Yoon, Jihwan Kim, Hyeran Hwang, Seoin Choi, & Piao Huilin
Publication: Journal of Medical Internet Research
Link: https://www.jmir.org/2025/1/e69045

Resource 4:
Title: Non-invasive cardiovascular risk stratification in type 2 diabetes: a pulse wave and pulse rate variability analysis with machine learning
Authors: Saurav Kumar, Apakrita Tayade, Amber Shrivastava, & Ravi Bhallamudi
Publication: Biomedical Signal Processing and Control (via Science Direct)
Link: https://www.sciencedirect.com/science/article/abs/pii/S1746809425014491

Resource 5:
Title: How Tracking Your Health Metrics Can Help You Live Longer
Author: Alice Park (Interview with Zahi Fayad)
Publication: TIME
Link: https://time.com/7324741/health-metrics-tracking-live-longer/

Resource 6:
Title: Stressed at Work? Your Heart Disease Risk Just Jumped 50%. Here’s the One Number That Shows How to Fight Back
Author: Julien Raby
Publication: BoxLife Magazine
Link: https://boxlifemagazine.com/boost-heart-resilience-by-tracking-hrv/

Resource 7:
Title: “Resonance Breathing” Is The Anti-Stress Hack You Can Do Anywhere
Author: Carolyn Steber
Publication:...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:24:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 14 Oct 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2162230</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-7</link>
                                <description>
                                            <![CDATA[<p><span style="font-weight:400;">Below are the links to the studies and articles discussed in this episode:</span></p>
<ul>
<li style="font-weight:400;"><strong>Personalized Respiratory Guidance for HRV:</strong><span style="font-weight:400;"> Lin, Z., Kong, W., Qiu, S., Luo, M., Wei, J., Guo, X., ... &amp; Dan, G. (2025). High-precision personalized respiratory guidance model for enhanced breathing training: effects on heart rate variability. </span><em><span style="font-weight:400;">Biomedical Signal Processing and Control</span></em><span style="font-weight:400;">, </span><em><span style="font-weight:400;">100</span></em><span style="font-weight:400;">, 108720.</span><ul>
<li style="font-weight:400;"><a href="https://www.sciencedirect.com/science/article/abs/pii/S1746809425012315"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S1746809425012315</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Therapy with Local Anesthetics and HRV:</strong><span style="font-weight:400;"> Weinschenk, S., Topbas-Selcuki, N. F., Benrath, J., Strowitzki, T., &amp; Feisst, M. (2025). Effects of therapy with local anesthetics (TLA) on heart rate variability (HRV) over 24 hours. </span><em><span style="font-weight:400;">Chronobiology International</span></em><span style="font-weight:400;">.</span><ul>
<li style="font-weight:400;"><a href="https://www.tandfonline.com/doi/full/10.1080/07420528.2025.2560963?src=exp-la"><span style="font-weight:400;">https://www.tandfonline.com/doi/full/10.1080/07420528.2025.2560963?src=exp-la</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Veterans, Service Dogs, and HRV:</strong><span style="font-weight:400;"> Krause-Parello, C. A., Friedmann, E., Taber, D., Zhu, H., Quintero, A., &amp; Yount, R. (2025). Veterans Training Service Dogs for Other Veterans: An Animal-Assisted Intervention for Post-Traumatic Stress Disorder. </span><em><span style="font-weight:400;">Behavioral Sciences</span></em><span style="font-weight:400;">, </span><em><span style="font-weight:400;">15</span></em><span style="font-weight:400;">(9), 1180.</span><ul>
<li style="font-weight:400;"><a href="https://www.mdpi.com/2076-328X/15/9/1180"><span style="font-weight:400;">https://www.mdpi.com/2076-328X/15/9/1180</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Circadian Rhythm of HRV in Pregnancy:</strong><span style="font-weight:400;"> Rasouli, M., Feli, M., Azimi, I., Haghayegh, S., Sarhaddi, F., Niela-Vilen, H., ... &amp; Rahmani, A. M. (2025). Circadian rhythm of heart rate and heart rate variability in pregnancy. </span><em><span style="font-weight:400;">npj Women's Health</span></em><span style="font-weight:400;">, </span><em><span style="font-weight:400;">3</span></em><span style="font-weight:400;">(1), 57.</span><ul>
<li style="font-weight:400;"><a href="https://www.nature.com/articles/s44294-025-00107-6"><span style="font-weight:400;">https://www.nature.com/articles/s44294-025-00107-6</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Wearable Tech in Tennis Players:</strong><span style="font-weight:400;"> Wang, Z. (2025). Integration of wearable technologies in monitoring physical performance and psychological stress in tennis players. </span><em><span style="font-weight:400;">Acta Psychologica</span></em><span style="font-weight:400;">, </span><em><span style="font-weight:400;">260</span></em><span style="font-weight:400;">, 105706.</span><ul>
<li style="font-weight:400;"><a href="https://www.sciencedirect.com/science/article/pii/S0001691825010194"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/pii/S0001691825010194</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Acoustic Features of Chants:</strong><span style="font-weight:400;"> Dolan, E. W. (2025, October 6). Chants across cultures share features that promote relaxation. </span><em><span style="font-weight:400;">PsyPost</span></em></li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Below are the links to the studies and articles discussed in this episode:

Personalized Respiratory Guidance for HRV: Lin, Z., Kong, W., Qiu, S., Luo, M., Wei, J., Guo, X., ... & Dan, G. (2025). High-precision personalized respiratory guidance model for enhanced breathing training: effects on heart rate variability. Biomedical Signal Processing and Control, 100, 108720.
https://www.sciencedirect.com/science/article/abs/pii/S1746809425012315


Therapy with Local Anesthetics and HRV: Weinschenk, S., Topbas-Selcuki, N. F., Benrath, J., Strowitzki, T., & Feisst, M. (2025). Effects of therapy with local anesthetics (TLA) on heart rate variability (HRV) over 24 hours. Chronobiology International.
https://www.tandfonline.com/doi/full/10.1080/07420528.2025.2560963?src=exp-la


Veterans, Service Dogs, and HRV: Krause-Parello, C. A., Friedmann, E., Taber, D., Zhu, H., Quintero, A., & Yount, R. (2025). Veterans Training Service Dogs for Other Veterans: An Animal-Assisted Intervention for Post-Traumatic Stress Disorder. Behavioral Sciences, 15(9), 1180.
https://www.mdpi.com/2076-328X/15/9/1180


Circadian Rhythm of HRV in Pregnancy: Rasouli, M., Feli, M., Azimi, I., Haghayegh, S., Sarhaddi, F., Niela-Vilen, H., ... & Rahmani, A. M. (2025). Circadian rhythm of heart rate and heart rate variability in pregnancy. npj Women's Health, 3(1), 57.
https://www.nature.com/articles/s44294-025-00107-6


Wearable Tech in Tennis Players: Wang, Z. (2025). Integration of wearable technologies in monitoring physical performance and psychological stress in tennis players. Acta Psychologica, 260, 105706.
https://www.sciencedirect.com/science/article/pii/S0001691825010194


Acoustic Features of Chants: Dolan, E. W. (2025, October 6). Chants across cultures share features that promote relaxation. PsyPost]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>7</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><span style="font-weight:400;">Below are the links to the studies and articles discussed in this episode:</span></p>
<ul>
<li style="font-weight:400;"><strong>Personalized Respiratory Guidance for HRV:</strong><span style="font-weight:400;"> Lin, Z., Kong, W., Qiu, S., Luo, M., Wei, J., Guo, X., ... &amp; Dan, G. (2025). High-precision personalized respiratory guidance model for enhanced breathing training: effects on heart rate variability. </span><em><span style="font-weight:400;">Biomedical Signal Processing and Control</span></em><span style="font-weight:400;">, </span><em><span style="font-weight:400;">100</span></em><span style="font-weight:400;">, 108720.</span><ul>
<li style="font-weight:400;"><a href="https://www.sciencedirect.com/science/article/abs/pii/S1746809425012315"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/abs/pii/S1746809425012315</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Therapy with Local Anesthetics and HRV:</strong><span style="font-weight:400;"> Weinschenk, S., Topbas-Selcuki, N. F., Benrath, J., Strowitzki, T., &amp; Feisst, M. (2025). Effects of therapy with local anesthetics (TLA) on heart rate variability (HRV) over 24 hours. </span><em><span style="font-weight:400;">Chronobiology International</span></em><span style="font-weight:400;">.</span><ul>
<li style="font-weight:400;"><a href="https://www.tandfonline.com/doi/full/10.1080/07420528.2025.2560963?src=exp-la"><span style="font-weight:400;">https://www.tandfonline.com/doi/full/10.1080/07420528.2025.2560963?src=exp-la</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Veterans, Service Dogs, and HRV:</strong><span style="font-weight:400;"> Krause-Parello, C. A., Friedmann, E., Taber, D., Zhu, H., Quintero, A., &amp; Yount, R. (2025). Veterans Training Service Dogs for Other Veterans: An Animal-Assisted Intervention for Post-Traumatic Stress Disorder. </span><em><span style="font-weight:400;">Behavioral Sciences</span></em><span style="font-weight:400;">, </span><em><span style="font-weight:400;">15</span></em><span style="font-weight:400;">(9), 1180.</span><ul>
<li style="font-weight:400;"><a href="https://www.mdpi.com/2076-328X/15/9/1180"><span style="font-weight:400;">https://www.mdpi.com/2076-328X/15/9/1180</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Circadian Rhythm of HRV in Pregnancy:</strong><span style="font-weight:400;"> Rasouli, M., Feli, M., Azimi, I., Haghayegh, S., Sarhaddi, F., Niela-Vilen, H., ... &amp; Rahmani, A. M. (2025). Circadian rhythm of heart rate and heart rate variability in pregnancy. </span><em><span style="font-weight:400;">npj Women's Health</span></em><span style="font-weight:400;">, </span><em><span style="font-weight:400;">3</span></em><span style="font-weight:400;">(1), 57.</span><ul>
<li style="font-weight:400;"><a href="https://www.nature.com/articles/s44294-025-00107-6"><span style="font-weight:400;">https://www.nature.com/articles/s44294-025-00107-6</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Wearable Tech in Tennis Players:</strong><span style="font-weight:400;"> Wang, Z. (2025). Integration of wearable technologies in monitoring physical performance and psychological stress in tennis players. </span><em><span style="font-weight:400;">Acta Psychologica</span></em><span style="font-weight:400;">, </span><em><span style="font-weight:400;">260</span></em><span style="font-weight:400;">, 105706.</span><ul>
<li style="font-weight:400;"><a href="https://www.sciencedirect.com/science/article/pii/S0001691825010194"><span style="font-weight:400;">https://www.sciencedirect.com/science/article/pii/S0001691825010194</span></a></li>
</ul></li>

<li style="font-weight:400;"><strong>Acoustic Features of Chants:</strong><span style="font-weight:400;"> Dolan, E. W. (2025, October 6). Chants across cultures share features that promote relaxation. </span><em><span style="font-weight:400;">PsyPost</span></em><span style="font-weight:400;">.</span><ul>
<li style="font-weight:400;"><a href="https://www.psypost.org/chants-across-cultures-share-features-that-promote-relaxation/"><span style="font-weight:400;">https://www.psypost.org/chants-across-cultures-share-features-that-promote-relaxation/</span></a></li>
</ul></li>

</ul>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2162230/c1e-7o19f97m0ou2923w-ndv4odgmfqjn-wntmfp.mp3" length="32152627"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Below are the links to the studies and articles discussed in this episode:

Personalized Respiratory Guidance for HRV: Lin, Z., Kong, W., Qiu, S., Luo, M., Wei, J., Guo, X., ... & Dan, G. (2025). High-precision personalized respiratory guidance model for enhanced breathing training: effects on heart rate variability. Biomedical Signal Processing and Control, 100, 108720.
https://www.sciencedirect.com/science/article/abs/pii/S1746809425012315


Therapy with Local Anesthetics and HRV: Weinschenk, S., Topbas-Selcuki, N. F., Benrath, J., Strowitzki, T., & Feisst, M. (2025). Effects of therapy with local anesthetics (TLA) on heart rate variability (HRV) over 24 hours. Chronobiology International.
https://www.tandfonline.com/doi/full/10.1080/07420528.2025.2560963?src=exp-la


Veterans, Service Dogs, and HRV: Krause-Parello, C. A., Friedmann, E., Taber, D., Zhu, H., Quintero, A., & Yount, R. (2025). Veterans Training Service Dogs for Other Veterans: An Animal-Assisted Intervention for Post-Traumatic Stress Disorder. Behavioral Sciences, 15(9), 1180.
https://www.mdpi.com/2076-328X/15/9/1180


Circadian Rhythm of HRV in Pregnancy: Rasouli, M., Feli, M., Azimi, I., Haghayegh, S., Sarhaddi, F., Niela-Vilen, H., ... & Rahmani, A. M. (2025). Circadian rhythm of heart rate and heart rate variability in pregnancy. npj Women's Health, 3(1), 57.
https://www.nature.com/articles/s44294-025-00107-6


Wearable Tech in Tennis Players: Wang, Z. (2025). Integration of wearable technologies in monitoring physical performance and psychological stress in tennis players. Acta Psychologica, 260, 105706.
https://www.sciencedirect.com/science/article/pii/S0001691825010194


Acoustic Features of Chants: Dolan, E. W. (2025, October 6). Chants across cultures share features that promote relaxation. PsyPost]]>
                </itunes:summary>
                                                                            <itunes:duration>00:22:19</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Inna Khazan discusses the Importance and Power of Low Frequency HRV]]>
                </title>
                <pubDate>Thu, 09 Oct 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2159316</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-inna-khazan-discusses-the-importance-and-power-of-low-frequency-hrv</link>
                                <description>
                                            <![CDATA[<p>In this episode of the <em>Heart Rate Variability Podcast</em>, host <strong>Matt Bennett</strong> sits down once again with <strong>Dr. Inna Khazan</strong>, a leading expert in HRV biofeedback and applied psychophysiology. Together, they unpack one of the most fascinating and misunderstood aspects of heart rate variability — <strong>low-frequency HRV</strong> — and its connection to self-regulation, stress resilience, and overall wellness.</p>
<h3><strong>Understanding Frequency Domains in HRV</strong></h3>
<p>Dr. Khazan begins by breaking down the concept of <strong>frequency domains</strong> in HRV. Just as white light contains multiple colors, the heart rate signal is composed of several distinct frequency components. Using tools like the Fast Fourier Transform, researchers can separate heart signals into <strong>high-frequency, low-frequency, and very-low-frequency</strong> ranges — each linked to specific physiological processes and parts of the autonomic nervous system.</p>
<h3><strong>Low Frequency HRV and the Baroreflex</strong></h3>
<p>The conversation dives deep into <strong>low-frequency power</strong>, which represents the interplay between the <strong>baroreflex</strong> (the body’s blood pressure regulation system) and the <strong>vagus nerve</strong>. Dr. Khazan explains how <strong>resonance-frequency breathing</strong>—typically practiced for 20 minutes a day—acts like strength training for these systems. Over time, this practice enhances emotional regulation, stress recovery, and overall heart-brain coherence.</p>
<h3><strong>Why Breathing Rate and Context Matter</strong></h3>
<p>Listeners learn that breathing too long in a low-frequency state can actually suppress other important HRV components, such as high-frequency and very-low-frequency power. Instead, Dr. Khazan recommends brief, consistent training sessions to balance all aspects of the nervous system. She also clarifies common misconceptions, including the outdated idea that low-frequency HRV measures sympathetic activity, emphasizing instead its parasympathetic and baroreflex origins.</p>
<h3><strong>Making Sense of HRV Metrics in Optimal HRV</strong></h3>
<p>Matt and Dr. Khazan discuss <strong>Optimal HRV’s “Optimal Zone” scale</strong>, which tracks the percentage of time users spend in low-frequency dominance during a session. They also unpack metrics like <strong>Max-Min</strong> and <strong>total low-frequency power</strong>, explaining how they interact and what each reveals about training efficiency and day-to-day readiness.</p>
<h3><strong>Practical Takeaways</strong></h3>
<ul>
<li>
<p>Practice <strong>resonance-frequency breathing</strong> for 20 minutes a day to enhance self-regulation.</p>
</li>
<li>
<p>Avoid over-training in the low-frequency zone — balance is key.</p>
</li>
<li>
<p>Understand that <strong>low-frequency HRV is not a measure of stress or sympathetic activity</strong>, but rather a reflection of vagal and baroreflex strength.</p>
</li>
<li>
<p>Leverage your Optimal HRV app metrics to track progress, focus, and nervous-system adaptability.</p>
</li>
</ul>
<h3><strong>Listen &amp; Learn More</strong></h3>
<p>Explore more insights from Dr. Khazan and Matt Bennett on <strong>heart rate variability, stress regulation, and biofeedback science</strong>.</p>
<p>Visit <strong><a class="decorated-link" href="https://optimalhrv.com">OptimalHRV.com</a></strong> for resources, show notes, and upcoming episodes, including the <span style="margin:0px;padding:0px;"><em>"This Week in HRV"</em> series, which</span> highlights the latest HRV research and applications.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode of the Heart Rate Variability Podcast, host Matt Bennett sits down once again with Dr. Inna Khazan, a leading expert in HRV biofeedback and applied psychophysiology. Together, they unpack one of the most fascinating and misunderstood aspects of heart rate variability — low-frequency HRV — and its connection to self-regulation, stress resilience, and overall wellness.
Understanding Frequency Domains in HRV
Dr. Khazan begins by breaking down the concept of frequency domains in HRV. Just as white light contains multiple colors, the heart rate signal is composed of several distinct frequency components. Using tools like the Fast Fourier Transform, researchers can separate heart signals into high-frequency, low-frequency, and very-low-frequency ranges — each linked to specific physiological processes and parts of the autonomic nervous system.
Low Frequency HRV and the Baroreflex
The conversation dives deep into low-frequency power, which represents the interplay between the baroreflex (the body’s blood pressure regulation system) and the vagus nerve. Dr. Khazan explains how resonance-frequency breathing—typically practiced for 20 minutes a day—acts like strength training for these systems. Over time, this practice enhances emotional regulation, stress recovery, and overall heart-brain coherence.
Why Breathing Rate and Context Matter
Listeners learn that breathing too long in a low-frequency state can actually suppress other important HRV components, such as high-frequency and very-low-frequency power. Instead, Dr. Khazan recommends brief, consistent training sessions to balance all aspects of the nervous system. She also clarifies common misconceptions, including the outdated idea that low-frequency HRV measures sympathetic activity, emphasizing instead its parasympathetic and baroreflex origins.
Making Sense of HRV Metrics in Optimal HRV
Matt and Dr. Khazan discuss Optimal HRV’s “Optimal Zone” scale, which tracks the percentage of time users spend in low-frequency dominance during a session. They also unpack metrics like Max-Min and total low-frequency power, explaining how they interact and what each reveals about training efficiency and day-to-day readiness.
Practical Takeaways


Practice resonance-frequency breathing for 20 minutes a day to enhance self-regulation.


Avoid over-training in the low-frequency zone — balance is key.


Understand that low-frequency HRV is not a measure of stress or sympathetic activity, but rather a reflection of vagal and baroreflex strength.


Leverage your Optimal HRV app metrics to track progress, focus, and nervous-system adaptability.


Listen & Learn More
Explore more insights from Dr. Khazan and Matt Bennett on heart rate variability, stress regulation, and biofeedback science.
Visit OptimalHRV.com for resources, show notes, and upcoming episodes, including the "This Week in HRV" series, which highlights the latest HRV research and applications.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Inna Khazan discusses the Importance and Power of Low Frequency HRV]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode of the <em>Heart Rate Variability Podcast</em>, host <strong>Matt Bennett</strong> sits down once again with <strong>Dr. Inna Khazan</strong>, a leading expert in HRV biofeedback and applied psychophysiology. Together, they unpack one of the most fascinating and misunderstood aspects of heart rate variability — <strong>low-frequency HRV</strong> — and its connection to self-regulation, stress resilience, and overall wellness.</p>
<h3><strong>Understanding Frequency Domains in HRV</strong></h3>
<p>Dr. Khazan begins by breaking down the concept of <strong>frequency domains</strong> in HRV. Just as white light contains multiple colors, the heart rate signal is composed of several distinct frequency components. Using tools like the Fast Fourier Transform, researchers can separate heart signals into <strong>high-frequency, low-frequency, and very-low-frequency</strong> ranges — each linked to specific physiological processes and parts of the autonomic nervous system.</p>
<h3><strong>Low Frequency HRV and the Baroreflex</strong></h3>
<p>The conversation dives deep into <strong>low-frequency power</strong>, which represents the interplay between the <strong>baroreflex</strong> (the body’s blood pressure regulation system) and the <strong>vagus nerve</strong>. Dr. Khazan explains how <strong>resonance-frequency breathing</strong>—typically practiced for 20 minutes a day—acts like strength training for these systems. Over time, this practice enhances emotional regulation, stress recovery, and overall heart-brain coherence.</p>
<h3><strong>Why Breathing Rate and Context Matter</strong></h3>
<p>Listeners learn that breathing too long in a low-frequency state can actually suppress other important HRV components, such as high-frequency and very-low-frequency power. Instead, Dr. Khazan recommends brief, consistent training sessions to balance all aspects of the nervous system. She also clarifies common misconceptions, including the outdated idea that low-frequency HRV measures sympathetic activity, emphasizing instead its parasympathetic and baroreflex origins.</p>
<h3><strong>Making Sense of HRV Metrics in Optimal HRV</strong></h3>
<p>Matt and Dr. Khazan discuss <strong>Optimal HRV’s “Optimal Zone” scale</strong>, which tracks the percentage of time users spend in low-frequency dominance during a session. They also unpack metrics like <strong>Max-Min</strong> and <strong>total low-frequency power</strong>, explaining how they interact and what each reveals about training efficiency and day-to-day readiness.</p>
<h3><strong>Practical Takeaways</strong></h3>
<ul>
<li>
<p>Practice <strong>resonance-frequency breathing</strong> for 20 minutes a day to enhance self-regulation.</p>
</li>
<li>
<p>Avoid over-training in the low-frequency zone — balance is key.</p>
</li>
<li>
<p>Understand that <strong>low-frequency HRV is not a measure of stress or sympathetic activity</strong>, but rather a reflection of vagal and baroreflex strength.</p>
</li>
<li>
<p>Leverage your Optimal HRV app metrics to track progress, focus, and nervous-system adaptability.</p>
</li>
</ul>
<h3><strong>Listen &amp; Learn More</strong></h3>
<p>Explore more insights from Dr. Khazan and Matt Bennett on <strong>heart rate variability, stress regulation, and biofeedback science</strong>.</p>
<p>Visit <strong><a class="decorated-link" href="https://optimalhrv.com">OptimalHRV.com</a></strong> for resources, show notes, and upcoming episodes, including the <span style="margin:0px;padding:0px;"><em>"This Week in HRV"</em> series, which</span> highlights the latest HRV research and applications.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode of the Heart Rate Variability Podcast, host Matt Bennett sits down once again with Dr. Inna Khazan, a leading expert in HRV biofeedback and applied psychophysiology. Together, they unpack one of the most fascinating and misunderstood aspects of heart rate variability — low-frequency HRV — and its connection to self-regulation, stress resilience, and overall wellness.
Understanding Frequency Domains in HRV
Dr. Khazan begins by breaking down the concept of frequency domains in HRV. Just as white light contains multiple colors, the heart rate signal is composed of several distinct frequency components. Using tools like the Fast Fourier Transform, researchers can separate heart signals into high-frequency, low-frequency, and very-low-frequency ranges — each linked to specific physiological processes and parts of the autonomic nervous system.
Low Frequency HRV and the Baroreflex
The conversation dives deep into low-frequency power, which represents the interplay between the baroreflex (the body’s blood pressure regulation system) and the vagus nerve. Dr. Khazan explains how resonance-frequency breathing—typically practiced for 20 minutes a day—acts like strength training for these systems. Over time, this practice enhances emotional regulation, stress recovery, and overall heart-brain coherence.
Why Breathing Rate and Context Matter
Listeners learn that breathing too long in a low-frequency state can actually suppress other important HRV components, such as high-frequency and very-low-frequency power. Instead, Dr. Khazan recommends brief, consistent training sessions to balance all aspects of the nervous system. She also clarifies common misconceptions, including the outdated idea that low-frequency HRV measures sympathetic activity, emphasizing instead its parasympathetic and baroreflex origins.
Making Sense of HRV Metrics in Optimal HRV
Matt and Dr. Khazan discuss Optimal HRV’s “Optimal Zone” scale, which tracks the percentage of time users spend in low-frequency dominance during a session. They also unpack metrics like Max-Min and total low-frequency power, explaining how they interact and what each reveals about training efficiency and day-to-day readiness.
Practical Takeaways


Practice resonance-frequency breathing for 20 minutes a day to enhance self-regulation.


Avoid over-training in the low-frequency zone — balance is key.


Understand that low-frequency HRV is not a measure of stress or sympathetic activity, but rather a reflection of vagal and baroreflex strength.


Leverage your Optimal HRV app metrics to track progress, focus, and nervous-system adaptability.


Listen & Learn More
Explore more insights from Dr. Khazan and Matt Bennett on heart rate variability, stress regulation, and biofeedback science.
Visit OptimalHRV.com for resources, show notes, and upcoming episodes, including the "This Week in HRV" series, which highlights the latest HRV research and applications.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2159316/c1a-rqx3-34mknqw2bgp5-eiphgv.png"></itunes:image>
                                                                            <itunes:duration>00:35:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 07 Oct 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2159076</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-6</link>
                                <description>
                                            <![CDATA[<p><span style="font-weight:400;">Welcome to the show notes for this week’s episode </span><em><span style="font-weight:400;">– This Week in HRV Edition.</span></em><span style="font-weight:400;"> Below, you’ll find direct links to all the studies and articles discussed in this episode. These sources represent the latest research connecting HRV to mental health, resilience, environmental design, and leadership.</span></p>
<p><strong>Research Studies:</strong></p>
<ol>
<li style="font-weight:400;"><a href="https://www.nature.com/articles/s41598-025-18615-5.epdf?sharing_token=PxlZLRmFXUcoOlg2_3K6u9RgN0jAjWel9jnR3ZoTv0NkRoKOIfQhwKrU_EYwZDOQIFE_WCUKEgOlQwub0bjcNC2xJXJlHS6-ANz-fnZX01Cp-qpV_OTOkCROCi-BFkRXJ2mhiF_bwWYxvxg1hfHXasQMJSKsIe7igwHzacVaYCg%3D"><span style="font-weight:400;">Multisensory environmental effects on HRV and psychological restoration – Scientific Reports</span></a></li>
<li style="font-weight:400;"><a href="https://www.sciencedirect.com/science/article/pii/S0360132325012181"><span style="font-weight:400;">Walking through green and grey: Exploring sequential exposure and multisensory environmental effects on psychological restoration – Building and Environment</span></a></li>
<li style="font-weight:400;"><a href="https://www.cureus.com/articles/413106-the-impact-of-vipassana-meditation-on-health-and-well-being-a-systematic-review-of-current-evidence#!/"><span style="font-weight:400;">The Impact of Vipassana Meditation on Health and Well-being: A Systematic Review of Current Evidence – Cureus</span></a></li>
<li style="font-weight:400;"><a href="https://pubmed.ncbi.nlm.nih.gov/41017412/"><span style="font-weight:400;">Cardiac timing effects on response speed are modulated by blood pressure, but not by heart rate variability, in healthy young adults – Physiological Reports</span></a></li>
<li style="font-weight:400;"><a href="https://www.nature.com/articles/s41598-025-13540-z"><span style="font-weight:400;">Heart-brain interaction in emotional regulation – Scientific Reports</span></a></li>
<li style="font-weight:400;"><a href="https://www.sciencedirect.com/science/article/abs/pii/S0378378225002166"><span style="font-weight:400;">Environmental stress and HRV in agricultural settings – Agricultural and Forest Meteorology</span></a></li>
<li style="font-weight:400;"><a href="https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2839605"><span style="font-weight:400;">HRV and emotion regulation in depression risk – JAMA Psychiatry</span></a></li>
<li style="font-weight:400;"><a href="https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2025.1635673/abstract"><span style="font-weight:400;">HRV modulation through breathing and neural coherence – Frontiers in Human Neuroscience</span></a></li>
</ol>
<p><strong>News and Features:</strong></p>
<ol>
<li style="font-weight:400;"><a href="https://socialecology.uci.edu/news/professor-honored-pioneering-heart-brain-research"><span style="font-weight:400;">Professor honored for pioneering heart–brain research – UC Irvine News</span></a></li>
<li style="font-weight:400;"><a href="https://www.healthcareitnews.com/news/solo-practitioner-uses-heart-rate-variability-tech-improve-care"><span style="font-weight:400;">Solo practitioner uses HRV tech to improve patient care – Healthcare IT News</span></a></li>
<li style="font-weight:400;"><a href="https://mb.com.ph/2025/09/30/what-is-heart-rate-variability-and-how-can-it-guide-smarter-leadership-decisions"><span style="font-weight:400;">What is heart rate variability and how can it guide smarter leadership decisions – Manila Bulletin</span></a></li>
<li style="font-weight:400;"><a href="https://www.menshealth.com/health/a68016781/hrv-heart-health-build-resilience/"><span style="font-weight:400;">HRV: The new secret weapon for heart resilience – Men’s Health</span></a></li>
</ol>
<p><span style="font-weight:400;">Each of these studies and stories offers a unique perspective on how HRV connects the hear...</span></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Welcome to the show notes for this week’s episode – This Week in HRV Edition. Below, you’ll find direct links to all the studies and articles discussed in this episode. These sources represent the latest research connecting HRV to mental health, resilience, environmental design, and leadership.
Research Studies:

Multisensory environmental effects on HRV and psychological restoration – Scientific Reports
Walking through green and grey: Exploring sequential exposure and multisensory environmental effects on psychological restoration – Building and Environment
The Impact of Vipassana Meditation on Health and Well-being: A Systematic Review of Current Evidence – Cureus
Cardiac timing effects on response speed are modulated by blood pressure, but not by heart rate variability, in healthy young adults – Physiological Reports
Heart-brain interaction in emotional regulation – Scientific Reports
Environmental stress and HRV in agricultural settings – Agricultural and Forest Meteorology
HRV and emotion regulation in depression risk – JAMA Psychiatry
HRV modulation through breathing and neural coherence – Frontiers in Human Neuroscience

News and Features:

Professor honored for pioneering heart–brain research – UC Irvine News
Solo practitioner uses HRV tech to improve patient care – Healthcare IT News
What is heart rate variability and how can it guide smarter leadership decisions – Manila Bulletin
HRV: The new secret weapon for heart resilience – Men’s Health

Each of these studies and stories offers a unique perspective on how HRV connects the hear...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>6</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><span style="font-weight:400;">Welcome to the show notes for this week’s episode </span><em><span style="font-weight:400;">– This Week in HRV Edition.</span></em><span style="font-weight:400;"> Below, you’ll find direct links to all the studies and articles discussed in this episode. These sources represent the latest research connecting HRV to mental health, resilience, environmental design, and leadership.</span></p>
<p><strong>Research Studies:</strong></p>
<ol>
<li style="font-weight:400;"><a href="https://www.nature.com/articles/s41598-025-18615-5.epdf?sharing_token=PxlZLRmFXUcoOlg2_3K6u9RgN0jAjWel9jnR3ZoTv0NkRoKOIfQhwKrU_EYwZDOQIFE_WCUKEgOlQwub0bjcNC2xJXJlHS6-ANz-fnZX01Cp-qpV_OTOkCROCi-BFkRXJ2mhiF_bwWYxvxg1hfHXasQMJSKsIe7igwHzacVaYCg%3D"><span style="font-weight:400;">Multisensory environmental effects on HRV and psychological restoration – Scientific Reports</span></a></li>
<li style="font-weight:400;"><a href="https://www.sciencedirect.com/science/article/pii/S0360132325012181"><span style="font-weight:400;">Walking through green and grey: Exploring sequential exposure and multisensory environmental effects on psychological restoration – Building and Environment</span></a></li>
<li style="font-weight:400;"><a href="https://www.cureus.com/articles/413106-the-impact-of-vipassana-meditation-on-health-and-well-being-a-systematic-review-of-current-evidence#!/"><span style="font-weight:400;">The Impact of Vipassana Meditation on Health and Well-being: A Systematic Review of Current Evidence – Cureus</span></a></li>
<li style="font-weight:400;"><a href="https://pubmed.ncbi.nlm.nih.gov/41017412/"><span style="font-weight:400;">Cardiac timing effects on response speed are modulated by blood pressure, but not by heart rate variability, in healthy young adults – Physiological Reports</span></a></li>
<li style="font-weight:400;"><a href="https://www.nature.com/articles/s41598-025-13540-z"><span style="font-weight:400;">Heart-brain interaction in emotional regulation – Scientific Reports</span></a></li>
<li style="font-weight:400;"><a href="https://www.sciencedirect.com/science/article/abs/pii/S0378378225002166"><span style="font-weight:400;">Environmental stress and HRV in agricultural settings – Agricultural and Forest Meteorology</span></a></li>
<li style="font-weight:400;"><a href="https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2839605"><span style="font-weight:400;">HRV and emotion regulation in depression risk – JAMA Psychiatry</span></a></li>
<li style="font-weight:400;"><a href="https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2025.1635673/abstract"><span style="font-weight:400;">HRV modulation through breathing and neural coherence – Frontiers in Human Neuroscience</span></a></li>
</ol>
<p><strong>News and Features:</strong></p>
<ol>
<li style="font-weight:400;"><a href="https://socialecology.uci.edu/news/professor-honored-pioneering-heart-brain-research"><span style="font-weight:400;">Professor honored for pioneering heart–brain research – UC Irvine News</span></a></li>
<li style="font-weight:400;"><a href="https://www.healthcareitnews.com/news/solo-practitioner-uses-heart-rate-variability-tech-improve-care"><span style="font-weight:400;">Solo practitioner uses HRV tech to improve patient care – Healthcare IT News</span></a></li>
<li style="font-weight:400;"><a href="https://mb.com.ph/2025/09/30/what-is-heart-rate-variability-and-how-can-it-guide-smarter-leadership-decisions"><span style="font-weight:400;">What is heart rate variability and how can it guide smarter leadership decisions – Manila Bulletin</span></a></li>
<li style="font-weight:400;"><a href="https://www.menshealth.com/health/a68016781/hrv-heart-health-build-resilience/"><span style="font-weight:400;">HRV: The new secret weapon for heart resilience – Men’s Health</span></a></li>
</ol>
<p><span style="font-weight:400;">Each of these studies and stories offers a unique perspective on how HRV connects the heart, brain, and body. For more insights, visit our website and subscribe to weekly updates on the evolving science of heart rate variability.</span></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2159076/c1e-wq08t3q9kqix3x65-5zdgkjo7hvwo-63ycd6.mp3" length="19996284"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Welcome to the show notes for this week’s episode – This Week in HRV Edition. Below, you’ll find direct links to all the studies and articles discussed in this episode. These sources represent the latest research connecting HRV to mental health, resilience, environmental design, and leadership.
Research Studies:

Multisensory environmental effects on HRV and psychological restoration – Scientific Reports
Walking through green and grey: Exploring sequential exposure and multisensory environmental effects on psychological restoration – Building and Environment
The Impact of Vipassana Meditation on Health and Well-being: A Systematic Review of Current Evidence – Cureus
Cardiac timing effects on response speed are modulated by blood pressure, but not by heart rate variability, in healthy young adults – Physiological Reports
Heart-brain interaction in emotional regulation – Scientific Reports
Environmental stress and HRV in agricultural settings – Agricultural and Forest Meteorology
HRV and emotion regulation in depression risk – JAMA Psychiatry
HRV modulation through breathing and neural coherence – Frontiers in Human Neuroscience

News and Features:

Professor honored for pioneering heart–brain research – UC Irvine News
Solo practitioner uses HRV tech to improve patient care – Healthcare IT News
What is heart rate variability and how can it guide smarter leadership decisions – Manila Bulletin
HRV: The new secret weapon for heart resilience – Men’s Health

Each of these studies and stories offers a unique perspective on how HRV connects the hear...]]>
                </itunes:summary>
                                                                            <itunes:duration>00:13:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 30 Sep 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2153074</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-5</link>
                                <description>
                                            <![CDATA[<p><span style="font-weight:400;">In this episode, we review seven new studies published between September 19 and September 25, 2025. Together, they highlight the many ways HRV intersects with brain activity, breathing practices, cardiac recovery, exercise environments, emergency medicine, environmental stressors, and new multimodal measurement approaches.</span></p>
<p><span style="font-weight:400;">We’ll explore:</span></p>
<ul>
<li style="font-weight:400;"><span style="font-weight:400;">How brain networks and cognitive load shape HRV readings.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">Why slow breathing alone is powerful, and what feedback really adds.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">The Benefits of Yoga Nidra for Patients Recovering from Coronary Artery Bypass Surgery.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">How walking in natural environments provides a stronger autonomic boost than indoor or urban exercise.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">Real-world HRV findings in emergency medicine and why lab results don’t always translate.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">How pollution, heat, and noise suppress vagal tone.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">New frontiers in dynamic and multimodal HRV metrics.</span><span style="font-weight:400;"><br /><br /></span></li>
</ul>
<p><span style="font-weight:400;">As always, I’ll connect the research to practical, client-ready strategies you can use right away.</span></p>
<p><span style="font-weight:400;">This podcast is sponsored by Optimal HRV. Learn more at</span><a href="https://optimalhrv.com"> <span style="font-weight:400;">optimalhrv.com</span></a><span style="font-weight:400;">.</span></p>
<h3><strong>References </strong></h3>
<ol>
<li style="font-weight:400;"><em><span style="font-weight:400;">Behavioural Brain Research</span></em><span style="font-weight:400;"> – Neural and cognitive influences on autonomic function.</span><a href="https://doi.org/10.1016/j.bbr.2025.115811"> <span style="font-weight:400;">https://doi.org/10.1016/j.bbr.2025.115811</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">Psychophysiology</span></em><span style="font-weight:400;"> – Comparing HRV biofeedback and slow-paced breathing.</span><a href="https://doi.org/10.1111/psyp.70156"> <span style="font-weight:400;">https://doi.org/10.1111/psyp.70156</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">Cureus</span></em><span style="font-weight:400;"> – Impact of Yoga Nidra on heart rate variability in coronary artery disease patients undergoing coronary artery bypass grafting.</span><a href="https://www.cureus.com/articles/402202-impact-of-yoga-nidra-on-heart-rate-variability-in-coronary-artery-disease-patients-undergoing-coronary-artery-bypass-grafting-a-comparative-study?utm_source=chatgpt.com"> <span style="font-weight:400;">https://www.cureus.com/articles/402202-impact-of-yoga-nidra-on-heart-rate-variability-in-coronary-artery-disease-patients-undergoing-coronary-artery-bypass-grafting-a-comparative-study</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">Psychology of Sport and Exercise</span></em><span style="font-weight:400;"> – Green exercise randomized controlled trial.</span><a href="https://doi.org/10.1016/j.psychsport.2025.102883"> <span style="font-weight:400;">https://doi.org/10.1016/j....</span></a></li></ol>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, we review seven new studies published between September 19 and September 25, 2025. Together, they highlight the many ways HRV intersects with brain activity, breathing practices, cardiac recovery, exercise environments, emergency medicine, environmental stressors, and new multimodal measurement approaches.
We’ll explore:

How brain networks and cognitive load shape HRV readings.
Why slow breathing alone is powerful, and what feedback really adds.
The Benefits of Yoga Nidra for Patients Recovering from Coronary Artery Bypass Surgery.
How walking in natural environments provides a stronger autonomic boost than indoor or urban exercise.
Real-world HRV findings in emergency medicine and why lab results don’t always translate.
How pollution, heat, and noise suppress vagal tone.
New frontiers in dynamic and multimodal HRV metrics.

As always, I’ll connect the research to practical, client-ready strategies you can use right away.
This podcast is sponsored by Optimal HRV. Learn more at optimalhrv.com.
References 

Behavioural Brain Research – Neural and cognitive influences on autonomic function. https://doi.org/10.1016/j.bbr.2025.115811
Psychophysiology – Comparing HRV biofeedback and slow-paced breathing. https://doi.org/10.1111/psyp.70156
Cureus – Impact of Yoga Nidra on heart rate variability in coronary artery disease patients undergoing coronary artery bypass grafting. https://www.cureus.com/articles/402202-impact-of-yoga-nidra-on-heart-rate-variability-in-coronary-artery-disease-patients-undergoing-coronary-artery-bypass-grafting-a-comparative-study
Psychology of Sport and Exercise – Green exercise randomized controlled trial. https://doi.org/10.1016/j....]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>5</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><span style="font-weight:400;">In this episode, we review seven new studies published between September 19 and September 25, 2025. Together, they highlight the many ways HRV intersects with brain activity, breathing practices, cardiac recovery, exercise environments, emergency medicine, environmental stressors, and new multimodal measurement approaches.</span></p>
<p><span style="font-weight:400;">We’ll explore:</span></p>
<ul>
<li style="font-weight:400;"><span style="font-weight:400;">How brain networks and cognitive load shape HRV readings.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">Why slow breathing alone is powerful, and what feedback really adds.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">The Benefits of Yoga Nidra for Patients Recovering from Coronary Artery Bypass Surgery.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">How walking in natural environments provides a stronger autonomic boost than indoor or urban exercise.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">Real-world HRV findings in emergency medicine and why lab results don’t always translate.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">How pollution, heat, and noise suppress vagal tone.</span><span style="font-weight:400;"><br /></span></li>
<li style="font-weight:400;"><span style="font-weight:400;">New frontiers in dynamic and multimodal HRV metrics.</span><span style="font-weight:400;"><br /><br /></span></li>
</ul>
<p><span style="font-weight:400;">As always, I’ll connect the research to practical, client-ready strategies you can use right away.</span></p>
<p><span style="font-weight:400;">This podcast is sponsored by Optimal HRV. Learn more at</span><a href="https://optimalhrv.com"> <span style="font-weight:400;">optimalhrv.com</span></a><span style="font-weight:400;">.</span></p>
<h3><strong>References </strong></h3>
<ol>
<li style="font-weight:400;"><em><span style="font-weight:400;">Behavioural Brain Research</span></em><span style="font-weight:400;"> – Neural and cognitive influences on autonomic function.</span><a href="https://doi.org/10.1016/j.bbr.2025.115811"> <span style="font-weight:400;">https://doi.org/10.1016/j.bbr.2025.115811</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">Psychophysiology</span></em><span style="font-weight:400;"> – Comparing HRV biofeedback and slow-paced breathing.</span><a href="https://doi.org/10.1111/psyp.70156"> <span style="font-weight:400;">https://doi.org/10.1111/psyp.70156</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">Cureus</span></em><span style="font-weight:400;"> – Impact of Yoga Nidra on heart rate variability in coronary artery disease patients undergoing coronary artery bypass grafting.</span><a href="https://www.cureus.com/articles/402202-impact-of-yoga-nidra-on-heart-rate-variability-in-coronary-artery-disease-patients-undergoing-coronary-artery-bypass-grafting-a-comparative-study?utm_source=chatgpt.com"> <span style="font-weight:400;">https://www.cureus.com/articles/402202-impact-of-yoga-nidra-on-heart-rate-variability-in-coronary-artery-disease-patients-undergoing-coronary-artery-bypass-grafting-a-comparative-study</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">Psychology of Sport and Exercise</span></em><span style="font-weight:400;"> – Green exercise randomized controlled trial.</span><a href="https://doi.org/10.1016/j.psychsport.2025.102883"> <span style="font-weight:400;">https://doi.org/10.1016/j.psychsport.2025.102883</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">International Journal of Emergency Medicine</span></em><span style="font-weight:400;"> – HRV in emergency medicine contexts.</span><a href="https://intjem.biomedcentral.com/articles/10.1186/s12245-025-00967-4"> <span style="font-weight:400;">https://intjem.biomedcentral.com/articles/10.1186/s12245-025-00967-4</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">Environmental Research</span></em><span style="font-weight:400;"> – Environmental stressors and their impact on HRV.</span><a href="https://doi.org/10.1016/j.envres.2025.122895"> <span style="font-weight:400;">https://doi.org/10.1016/j.envres.2025.122895</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><em><span style="font-weight:400;">Preprint manuscript</span></em><span style="font-weight:400;"> – Multimodal HRV analytics integrating respiration, voice, and movement.</span><a href="https://docs.google.com/document/d/1lLS78kYlMpyfbY5juA23qTFr7amQVlLodbvwbLpuHWU/edit?tab=t.0"><span style="font-weight:400;"> https://pmc.ncbi.nlm.nih.gov/articles/PMC8401087/#:~:text=HRV%20analysis%20is%20performed%20by,equipped%20with%20HRV%20analysis%20modules. </span></a></li>
</ol>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, we review seven new studies published between September 19 and September 25, 2025. Together, they highlight the many ways HRV intersects with brain activity, breathing practices, cardiac recovery, exercise environments, emergency medicine, environmental stressors, and new multimodal measurement approaches.
We’ll explore:

How brain networks and cognitive load shape HRV readings.
Why slow breathing alone is powerful, and what feedback really adds.
The Benefits of Yoga Nidra for Patients Recovering from Coronary Artery Bypass Surgery.
How walking in natural environments provides a stronger autonomic boost than indoor or urban exercise.
Real-world HRV findings in emergency medicine and why lab results don’t always translate.
How pollution, heat, and noise suppress vagal tone.
New frontiers in dynamic and multimodal HRV metrics.

As always, I’ll connect the research to practical, client-ready strategies you can use right away.
This podcast is sponsored by Optimal HRV. Learn more at optimalhrv.com.
References 

Behavioural Brain Research – Neural and cognitive influences on autonomic function. https://doi.org/10.1016/j.bbr.2025.115811
Psychophysiology – Comparing HRV biofeedback and slow-paced breathing. https://doi.org/10.1111/psyp.70156
Cureus – Impact of Yoga Nidra on heart rate variability in coronary artery disease patients undergoing coronary artery bypass grafting. https://www.cureus.com/articles/402202-impact-of-yoga-nidra-on-heart-rate-variability-in-coronary-artery-disease-patients-undergoing-coronary-artery-bypass-grafting-a-comparative-study
Psychology of Sport and Exercise – Green exercise randomized controlled trial. https://doi.org/10.1016/j....]]>
                </itunes:summary>
                                                                            <itunes:duration>00:16:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 23 Sep 2025 11:15:09 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2147404</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-4</link>
                                <description>
                                            <![CDATA[<p><strong>Refrences:</strong></p>
<ul>
<li><span style="font-weight:400;">Ferreira S, Rodrigues M A, Mateus C, Rodrigues P P, Rocha N B. Interventions Based on Biofeedback Systems to Improve Workers’ Psychological Well-Being, Mental Health, and Safety: Systematic Literature Review. Journal of Medical Internet Research (2025). DOI: 10.2196/70134.</span><a href="https://www.jmir.org/2025/1/e70134?utm_source=chatgpt.com"> <span style="font-weight:400;">JMIR+2JMIR+2</span></a></li>
<li><span style="font-weight:400;"> Lässing J, Wegener F, Höpker N, Hottenrott K, Gronwald T, Falz R. Heart rate variability response of intensity-matched strength training dependent on body position in females: a pilot randomized crossover study. Scientific Reports (2025). DOI: 10.1038/s41598-025-19817-7.</span><a href="https://www.nature.com/articles/s41598-025-19817-7.pdf"> <span style="font-weight:400;">Nature+1</span></a></li>
<li><span style="font-weight:400;"> Książek K, Masarczyk W, Głomb P, Romaszewski M, Buza K, Sekuła P, Cholewa M, Kołodziej K, Gorczyca P, Piegza M. Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals. PLoS Computational Biology (2025). DOI: 10.1371/journal.pcbi.1012983.</span><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1012983&amp;utm_source=chatgpt.com"> <span style="font-weight:400;">PLOS+1</span></a></li>
<li><span style="font-weight:400;"> Zilcha-Mano S, Tchizick A, Nof A, Malka M, Oded Y. Clinical breakthroughs or research oversights? The imperative of integrating modalities to differentiate signal from noise. The British Journal of Psychiatry (First View, 2025). DOI: 10.1192/bjp.2025.10321.</span><a href="https://www.cambridge.org/core/journals/the-british-journal-of-psychiatry/article/clinical-breakthroughs-or-research-oversights-the-imperative-of-integrating-modalities-to-differentiate-signal-from-noise/176966E7FCE9BB114420DED8C1CFFBE0"> <span style="font-weight:400;">Cambridge University Press &amp; Assessment</span></a></li>
<li><span style="font-weight:400;"> Dear Media. “7 Lab Tests Every Woman in Her 30s Should Know, According to Dr. Sara Szal.” By Jane LaCroix. September 16, 2025.</span><a href="https://dearmedia.com/dr-sara-szal-lab-tests-avoid-burnout-women/"> <span style="font-weight:400;">Dear Media</span></a></li>
</ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Refrences:

Ferreira S, Rodrigues M A, Mateus C, Rodrigues P P, Rocha N B. Interventions Based on Biofeedback Systems to Improve Workers’ Psychological Well-Being, Mental Health, and Safety: Systematic Literature Review. Journal of Medical Internet Research (2025). DOI: 10.2196/70134. JMIR+2JMIR+2
 Lässing J, Wegener F, Höpker N, Hottenrott K, Gronwald T, Falz R. Heart rate variability response of intensity-matched strength training dependent on body position in females: a pilot randomized crossover study. Scientific Reports (2025). DOI: 10.1038/s41598-025-19817-7. Nature+1
 Książek K, Masarczyk W, Głomb P, Romaszewski M, Buza K, Sekuła P, Cholewa M, Kołodziej K, Gorczyca P, Piegza M. Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals. PLoS Computational Biology (2025). DOI: 10.1371/journal.pcbi.1012983. PLOS+1
 Zilcha-Mano S, Tchizick A, Nof A, Malka M, Oded Y. Clinical breakthroughs or research oversights? The imperative of integrating modalities to differentiate signal from noise. The British Journal of Psychiatry (First View, 2025). DOI: 10.1192/bjp.2025.10321. Cambridge University Press & Assessment
 Dear Media. “7 Lab Tests Every Woman in Her 30s Should Know, According to Dr. Sara Szal.” By Jane LaCroix. September 16, 2025. Dear Media
]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>4</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>Refrences:</strong></p>
<ul>
<li><span style="font-weight:400;">Ferreira S, Rodrigues M A, Mateus C, Rodrigues P P, Rocha N B. Interventions Based on Biofeedback Systems to Improve Workers’ Psychological Well-Being, Mental Health, and Safety: Systematic Literature Review. Journal of Medical Internet Research (2025). DOI: 10.2196/70134.</span><a href="https://www.jmir.org/2025/1/e70134?utm_source=chatgpt.com"> <span style="font-weight:400;">JMIR+2JMIR+2</span></a></li>
<li><span style="font-weight:400;"> Lässing J, Wegener F, Höpker N, Hottenrott K, Gronwald T, Falz R. Heart rate variability response of intensity-matched strength training dependent on body position in females: a pilot randomized crossover study. Scientific Reports (2025). DOI: 10.1038/s41598-025-19817-7.</span><a href="https://www.nature.com/articles/s41598-025-19817-7.pdf"> <span style="font-weight:400;">Nature+1</span></a></li>
<li><span style="font-weight:400;"> Książek K, Masarczyk W, Głomb P, Romaszewski M, Buza K, Sekuła P, Cholewa M, Kołodziej K, Gorczyca P, Piegza M. Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals. PLoS Computational Biology (2025). DOI: 10.1371/journal.pcbi.1012983.</span><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1012983&amp;utm_source=chatgpt.com"> <span style="font-weight:400;">PLOS+1</span></a></li>
<li><span style="font-weight:400;"> Zilcha-Mano S, Tchizick A, Nof A, Malka M, Oded Y. Clinical breakthroughs or research oversights? The imperative of integrating modalities to differentiate signal from noise. The British Journal of Psychiatry (First View, 2025). DOI: 10.1192/bjp.2025.10321.</span><a href="https://www.cambridge.org/core/journals/the-british-journal-of-psychiatry/article/clinical-breakthroughs-or-research-oversights-the-imperative-of-integrating-modalities-to-differentiate-signal-from-noise/176966E7FCE9BB114420DED8C1CFFBE0"> <span style="font-weight:400;">Cambridge University Press &amp; Assessment</span></a></li>
<li><span style="font-weight:400;"> Dear Media. “7 Lab Tests Every Woman in Her 30s Should Know, According to Dr. Sara Szal.” By Jane LaCroix. September 16, 2025.</span><a href="https://dearmedia.com/dr-sara-szal-lab-tests-avoid-burnout-women/"> <span style="font-weight:400;">Dear Media</span></a></li>
</ul>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2147404/c1e-rqx3twkdmzf2kwk7-ww8d3966f61v-zutumn.mp3" length="20612147"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Refrences:

Ferreira S, Rodrigues M A, Mateus C, Rodrigues P P, Rocha N B. Interventions Based on Biofeedback Systems to Improve Workers’ Psychological Well-Being, Mental Health, and Safety: Systematic Literature Review. Journal of Medical Internet Research (2025). DOI: 10.2196/70134. JMIR+2JMIR+2
 Lässing J, Wegener F, Höpker N, Hottenrott K, Gronwald T, Falz R. Heart rate variability response of intensity-matched strength training dependent on body position in females: a pilot randomized crossover study. Scientific Reports (2025). DOI: 10.1038/s41598-025-19817-7. Nature+1
 Książek K, Masarczyk W, Głomb P, Romaszewski M, Buza K, Sekuła P, Cholewa M, Kołodziej K, Gorczyca P, Piegza M. Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals. PLoS Computational Biology (2025). DOI: 10.1371/journal.pcbi.1012983. PLOS+1
 Zilcha-Mano S, Tchizick A, Nof A, Malka M, Oded Y. Clinical breakthroughs or research oversights? The imperative of integrating modalities to differentiate signal from noise. The British Journal of Psychiatry (First View, 2025). DOI: 10.1192/bjp.2025.10321. Cambridge University Press & Assessment
 Dear Media. “7 Lab Tests Every Woman in Her 30s Should Know, According to Dr. Sara Szal.” By Jane LaCroix. September 16, 2025. Dear Media
]]>
                </itunes:summary>
                                                                            <itunes:duration>00:21:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Adding Muscle Contraction to Resonance Frequency Breathing]]>
                </title>
                <pubDate>Thu, 18 Sep 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2141526</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/playing-around-with-adding-muscle-contraction-to-resonance-frequency-breathing</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett explores how to apply the research on HRV training through muscle contraction into personal practice.  </p>
<p>References for this episode. </p>
<p>Fred Shaffer's work: <a href="https://youtu.be/ajwgwzn2ZUo">https://youtu.be/ajwgwzn2ZUo</a></p>
<p>Sources for this summary: Vaschillo/Lehrer et al., laboratory demonstration that 0.1-Hz rhythmic skeletal muscle tension increases 0.1-Hz power in heart rate, systolic pressure, and pulse transit time and strengthens HR–BP coupling, consistent with baroreflex resonance; includes with- and without-leg-crossing conditions (N≈37). <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://www.researchgate.net/profile/Evgeny-Vaschillo/publication/24414632_Effects_of_rhythmical_muscle_tension_at_01_Hz_on_cardiovascular_resonance_and_the_baroreflex/links/5c3cb271299bf12be3c77ecd/Effects-of-rhythmical-muscle-tension-at-01-Hz-on-cardiovascular-resonance-and-the-baroreflex.pdf" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between overflow-hidden"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">ResearchGate</span></span></span></a></span></span> Shaffer, Moss, &amp; Meehan (2022) randomized study showing that one and six contractions per minute increased multiple HRV metrics versus twelve per minute, with a ~0.10-Hz peak at six per minute. <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://link.springer.com/article/10.1007/s10484-022-09541-7" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between overflow-hidden"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">SpringerLink</span></span></span></a></span></span> Meehan &amp; Shaffer (2023) within-subjects study showing greater HR, HR max–min, and low-frequency power when adding core contraction and leg-crossing versus wrist-ankle alone at six contractions per minute. <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://link.springer.com/article/10.1007/s10484-022-09568-w" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between overflow-hidden"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">SpringerLink</span></span></span></a></span></span> Frontiers in Neuroscience review describing the resonance-frequency model and noting that rhythmic skeletal muscle tension, like slow breathing, can stimulate the baroreflex at ~0.1 Hz. <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.570400/full" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-...&lt;/div&gt;&lt;/body&gt;&lt;/html&gt;"></span></span></a></span></span></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett explores how to apply the research on HRV training through muscle contraction into personal practice.  
References for this episode. 
Fred Shaffer's work: https://youtu.be/ajwgwzn2ZUo
Sources for this summary: Vaschillo/Lehrer et al., laboratory demonstration that 0.1-Hz rhythmic skeletal muscle tension increases 0.1-Hz power in heart rate, systolic pressure, and pulse transit time and strengthens HR–BP coupling, consistent with baroreflex resonance; includes with- and without-leg-crossing conditions (N≈37). ResearchGate Shaffer, Moss, & Meehan (2022) randomized study showing that one and six contractions per minute increased multiple HRV metrics versus twelve per minute, with a ~0.10-Hz peak at six per minute. SpringerLink Meehan & Shaffer (2023) within-subjects study showing greater HR, HR max–min, and low-frequency power when adding core contraction and leg-crossing versus wrist-ankle alone at six contractions per minute. SpringerLink Frontiers in Neuroscience review describing the resonance-frequency model and noting that rhythmic skeletal muscle tension, like slow breathing, can stimulate the baroreflex at ~0.1 Hz. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Adding Muscle Contraction to Resonance Frequency Breathing]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett explores how to apply the research on HRV training through muscle contraction into personal practice.  </p>
<p>References for this episode. </p>
<p>Fred Shaffer's work: <a href="https://youtu.be/ajwgwzn2ZUo">https://youtu.be/ajwgwzn2ZUo</a></p>
<p>Sources for this summary: Vaschillo/Lehrer et al., laboratory demonstration that 0.1-Hz rhythmic skeletal muscle tension increases 0.1-Hz power in heart rate, systolic pressure, and pulse transit time and strengthens HR–BP coupling, consistent with baroreflex resonance; includes with- and without-leg-crossing conditions (N≈37). <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://www.researchgate.net/profile/Evgeny-Vaschillo/publication/24414632_Effects_of_rhythmical_muscle_tension_at_01_Hz_on_cardiovascular_resonance_and_the_baroreflex/links/5c3cb271299bf12be3c77ecd/Effects-of-rhythmical-muscle-tension-at-01-Hz-on-cardiovascular-resonance-and-the-baroreflex.pdf" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between overflow-hidden"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">ResearchGate</span></span></span></a></span></span> Shaffer, Moss, &amp; Meehan (2022) randomized study showing that one and six contractions per minute increased multiple HRV metrics versus twelve per minute, with a ~0.10-Hz peak at six per minute. <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://link.springer.com/article/10.1007/s10484-022-09541-7" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between overflow-hidden"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">SpringerLink</span></span></span></a></span></span> Meehan &amp; Shaffer (2023) within-subjects study showing greater HR, HR max–min, and low-frequency power when adding core contraction and leg-crossing versus wrist-ankle alone at six contractions per minute. <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://link.springer.com/article/10.1007/s10484-022-09568-w" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between overflow-hidden"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">SpringerLink</span></span></span></a></span></span> Frontiers in Neuroscience review describing the resonance-frequency model and noting that rhythmic skeletal muscle tension, like slow breathing, can stimulate the baroreflex at ~0.1 Hz. <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.570400/full" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between overflow-hidden"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">Frontiers</span></span></span></a></span></span> Clinical and physiological studies on leg-crossing and muscle-tensing maneuvers increasing cardiac output, mean arterial pressure, and cerebral oxygenation during orthostatic stress and vasovagal reactions. <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://europepmc.org/abstract/MED/15475601?utm_source=chatgpt.com" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">Europe PMC</span><span class="-me-1 flex h-full items-center rounded-full px-1 text-[#8F8F8F]">+2</span></span><span class="flex h-4 w-full items-center justify-between absolute"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">Physiology Journals</span><span class="-me-1 flex h-full items-center rounded-full px-1 text-[#8F8F8F]">+2</span></span></span></a></span></span> Systematic reviews and trials on isometric handgrip training showing blood-pressure reductions with mixed HRV effects, distinct from contraction-based biofeedback. <span><span class="ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]"><a class="flex h-4.5 overflow-hidden rounded-xl px-2 text-[9px] font-medium text-token-text-secondary! bg-[#F4F4F4]! dark:bg-[#303030]! transition-colors duration-150 ease-in-out" href="https://www.nature.com/articles/s41440-021-00681-7.pdf?utm_source=chatgpt.com" target="_blank" rel="noreferrer noopener"><span class="relative start-0 bottom-0 flex h-full w-full items-center"><span class="flex h-4 w-full items-center justify-between"><span class="max-w-[15ch] grow truncate overflow-hidden text-center">Nature</span><span class="-me-1 flex h-full items-center rounded-full px-1 text-[#8F8F8F]">+1</span></span></span></a></span></span></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2141526/c1e-6xg3fo9xroc52o98-rk3rvgq2uwor-hnqmah.mp3" length="26588591"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett explores how to apply the research on HRV training through muscle contraction into personal practice.  
References for this episode. 
Fred Shaffer's work: https://youtu.be/ajwgwzn2ZUo
Sources for this summary: Vaschillo/Lehrer et al., laboratory demonstration that 0.1-Hz rhythmic skeletal muscle tension increases 0.1-Hz power in heart rate, systolic pressure, and pulse transit time and strengthens HR–BP coupling, consistent with baroreflex resonance; includes with- and without-leg-crossing conditions (N≈37). ResearchGate Shaffer, Moss, & Meehan (2022) randomized study showing that one and six contractions per minute increased multiple HRV metrics versus twelve per minute, with a ~0.10-Hz peak at six per minute. SpringerLink Meehan & Shaffer (2023) within-subjects study showing greater HR, HR max–min, and low-frequency power when adding core contraction and leg-crossing versus wrist-ankle alone at six contractions per minute. SpringerLink Frontiers in Neuroscience review describing the resonance-frequency model and noting that rhythmic skeletal muscle tension, like slow breathing, can stimulate the baroreflex at ~0.1 Hz. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2141526/c1a-rqx3-gpz86q2gur6-53e86m.png"></itunes:image>
                                                                            <itunes:duration>00:26:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 16 Sep 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2141383</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-3</link>
                                <description>
                                            <![CDATA[<p>This week’s episode of the Heart Rate Variability Podcast explores three new publications from September 5–11, 2025. We look at advances in contactless HRV monitoring using millimeter-wave radar, how physical fatigue alters time-domain and nonlinear HRV metrics, and a review of how accurate consumer wearables really are when tracking HRV.</p>
<p>We dive into what these findings mean for clinicians, researchers, and anyone using HRV to track resilience, recovery, or performance.</p>
<p><strong>References</strong></p>
<ul>
<li>
<p>Cui, Y., Zhang, W., Xu, J., Liu, Y., &amp; Chen, H. (2025). <em>Non-Contact Heart Rate Variability Monitoring with FMCW Radar via a Novel Signal Processing Algorithm.</em> Sensors, 25(17), 5607. <a class="decorated-link" href="https://www.mdpi.com/1424-8220/25/17/5607">Read here</a></p>
</li>
<li>
<p>Zhang, J., Niu, X., Wei, X., Ma, J., &amp; Du, W. (2025). <em>Effects of Induced Physical Fatigue on Heart Rate Variability in Healthy Young Adults.</em> Sensors, 25(17), 5572. <a class="decorated-link" href="https://www.mdpi.com/1424-8220/25/17/5572">Read here</a></p>
</li>
<li>
<p>Pramanik, P. (2025, September 8). <em>Wearable health trackers reveal how accurate your smartwatch really is.</em> News-Medical. <a class="decorated-link" href="https://www.news-medical.net/news/20250908/Wearable-health-trackers-reveal-how-accurate-your-smartwatch-really-is.aspx">Read here</a></p>
</li>
</ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This week’s episode of the Heart Rate Variability Podcast explores three new publications from September 5–11, 2025. We look at advances in contactless HRV monitoring using millimeter-wave radar, how physical fatigue alters time-domain and nonlinear HRV metrics, and a review of how accurate consumer wearables really are when tracking HRV.
We dive into what these findings mean for clinicians, researchers, and anyone using HRV to track resilience, recovery, or performance.
References


Cui, Y., Zhang, W., Xu, J., Liu, Y., & Chen, H. (2025). Non-Contact Heart Rate Variability Monitoring with FMCW Radar via a Novel Signal Processing Algorithm. Sensors, 25(17), 5607. Read here


Zhang, J., Niu, X., Wei, X., Ma, J., & Du, W. (2025). Effects of Induced Physical Fatigue on Heart Rate Variability in Healthy Young Adults. Sensors, 25(17), 5572. Read here


Pramanik, P. (2025, September 8). Wearable health trackers reveal how accurate your smartwatch really is. News-Medical. Read here

]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>3</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>This week’s episode of the Heart Rate Variability Podcast explores three new publications from September 5–11, 2025. We look at advances in contactless HRV monitoring using millimeter-wave radar, how physical fatigue alters time-domain and nonlinear HRV metrics, and a review of how accurate consumer wearables really are when tracking HRV.</p>
<p>We dive into what these findings mean for clinicians, researchers, and anyone using HRV to track resilience, recovery, or performance.</p>
<p><strong>References</strong></p>
<ul>
<li>
<p>Cui, Y., Zhang, W., Xu, J., Liu, Y., &amp; Chen, H. (2025). <em>Non-Contact Heart Rate Variability Monitoring with FMCW Radar via a Novel Signal Processing Algorithm.</em> Sensors, 25(17), 5607. <a class="decorated-link" href="https://www.mdpi.com/1424-8220/25/17/5607">Read here</a></p>
</li>
<li>
<p>Zhang, J., Niu, X., Wei, X., Ma, J., &amp; Du, W. (2025). <em>Effects of Induced Physical Fatigue on Heart Rate Variability in Healthy Young Adults.</em> Sensors, 25(17), 5572. <a class="decorated-link" href="https://www.mdpi.com/1424-8220/25/17/5572">Read here</a></p>
</li>
<li>
<p>Pramanik, P. (2025, September 8). <em>Wearable health trackers reveal how accurate your smartwatch really is.</em> News-Medical. <a class="decorated-link" href="https://www.news-medical.net/news/20250908/Wearable-health-trackers-reveal-how-accurate-your-smartwatch-really-is.aspx">Read here</a></p>
</li>
</ul>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2141383/c1e-jz13f5gdo4fn1k15-jp35zwnwc0p-dlcyll.mp3" length="14551321"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[This week’s episode of the Heart Rate Variability Podcast explores three new publications from September 5–11, 2025. We look at advances in contactless HRV monitoring using millimeter-wave radar, how physical fatigue alters time-domain and nonlinear HRV metrics, and a review of how accurate consumer wearables really are when tracking HRV.
We dive into what these findings mean for clinicians, researchers, and anyone using HRV to track resilience, recovery, or performance.
References


Cui, Y., Zhang, W., Xu, J., Liu, Y., & Chen, H. (2025). Non-Contact Heart Rate Variability Monitoring with FMCW Radar via a Novel Signal Processing Algorithm. Sensors, 25(17), 5607. Read here


Zhang, J., Niu, X., Wei, X., Ma, J., & Du, W. (2025). Effects of Induced Physical Fatigue on Heart Rate Variability in Healthy Young Adults. Sensors, 25(17), 5572. Read here


Pramanik, P. (2025, September 8). Wearable health trackers reveal how accurate your smartwatch really is. News-Medical. Read here

]]>
                </itunes:summary>
                                                                            <itunes:duration>00:15:09</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Tue, 09 Sep 2025 10:35:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2136668</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition-episode-2</link>
                                <description>
                                            <![CDATA[<h3> References</h3>
<p>MacDonald, D. M., et al. (2025). Two-week heart rate variability measurements and lung health: A cross-sectional analysis in the ARIC Study. <em>Respiratory Medicine, 234</em>, 108338.</p>
<p><a href="https://www.resmedjournal.com/article/S0954-6111(25)00401-9/abstract" target="_blank" rel="noreferrer noopener">https://www.resmedjournal.com/article/S0954-6111(25)00401-9/abstract</a></p>
<p>Kamiya, Y., Saita, K., Kaneko, F., Li, J., &amp; Okamura, H. (2025). Association between sense of coherence and phasic heart rate variability under psychosocial stress conditions. <em>Physiology &amp; Behavior, 298</em>, 114969.</p>
<p><a href="https://www.sciencedirect.com/science/article/abs/pii/S0031938425001702?via%3Dihub">https://www.sciencedirect.com/science/article/abs/pii/S0031938425001702?via%3Dihub</a></p>
<p>European Society of Cardiology. (2025). <em>How wearables are transforming remote monitoring of cardiovascular diseases</em>. ESC 365 session page, ESC Congress 2025. Retrieved September 2025 from</p>
<p><a href="https://esc365.escardio.org/esc-congress/sessions/13953?utm_source=chatgpt.com">https://esc365.escardio.org/esc-congress/sessions/13953?</a></p>
<p>Zhang, S., Niu, X., Ma, J., Wei, X., Zhang, J., &amp; Du, W. (2025). Effects of sleep deprivation on heart rate variability: A systematic review and meta-analysis. <em>Frontiers in Neurology, 16</em>, 1556784. </p>
<p><a href="https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full">https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full</a></p>
<p>Menuet, C., Ben-Tal, A., Linossier, A., Allen, A. M., Machado, B. H., Moraes, D. J. A., … Gourine, A. V. (2025). Redefining respiratory sinus arrhythmia as respiratory heart rate variability: An international expert recommendation for terminological clarity. <em>Nature Reviews Cardiology.</em> </p>
<p><a href="https://www.nature.com/articles/s41569-025-01160-z">https://www.nature.com/articles/s41569-025-01160-z</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[ References
MacDonald, D. M., et al. (2025). Two-week heart rate variability measurements and lung health: A cross-sectional analysis in the ARIC Study. Respiratory Medicine, 234, 108338.
https://www.resmedjournal.com/article/S0954-6111(25)00401-9/abstract
Kamiya, Y., Saita, K., Kaneko, F., Li, J., & Okamura, H. (2025). Association between sense of coherence and phasic heart rate variability under psychosocial stress conditions. Physiology & Behavior, 298, 114969.
https://www.sciencedirect.com/science/article/abs/pii/S0031938425001702?via%3Dihub
European Society of Cardiology. (2025). How wearables are transforming remote monitoring of cardiovascular diseases. ESC 365 session page, ESC Congress 2025. Retrieved September 2025 from
https://esc365.escardio.org/esc-congress/sessions/13953?
Zhang, S., Niu, X., Ma, J., Wei, X., Zhang, J., & Du, W. (2025). Effects of sleep deprivation on heart rate variability: A systematic review and meta-analysis. Frontiers in Neurology, 16, 1556784. 
https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full
Menuet, C., Ben-Tal, A., Linossier, A., Allen, A. M., Machado, B. H., Moraes, D. J. A., … Gourine, A. V. (2025). Redefining respiratory sinus arrhythmia as respiratory heart rate variability: An international expert recommendation for terminological clarity. Nature Reviews Cardiology. 
https://www.nature.com/articles/s41569-025-01160-z]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>2</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<h3> References</h3>
<p>MacDonald, D. M., et al. (2025). Two-week heart rate variability measurements and lung health: A cross-sectional analysis in the ARIC Study. <em>Respiratory Medicine, 234</em>, 108338.</p>
<p><a href="https://www.resmedjournal.com/article/S0954-6111(25)00401-9/abstract" target="_blank" rel="noreferrer noopener">https://www.resmedjournal.com/article/S0954-6111(25)00401-9/abstract</a></p>
<p>Kamiya, Y., Saita, K., Kaneko, F., Li, J., &amp; Okamura, H. (2025). Association between sense of coherence and phasic heart rate variability under psychosocial stress conditions. <em>Physiology &amp; Behavior, 298</em>, 114969.</p>
<p><a href="https://www.sciencedirect.com/science/article/abs/pii/S0031938425001702?via%3Dihub">https://www.sciencedirect.com/science/article/abs/pii/S0031938425001702?via%3Dihub</a></p>
<p>European Society of Cardiology. (2025). <em>How wearables are transforming remote monitoring of cardiovascular diseases</em>. ESC 365 session page, ESC Congress 2025. Retrieved September 2025 from</p>
<p><a href="https://esc365.escardio.org/esc-congress/sessions/13953?utm_source=chatgpt.com">https://esc365.escardio.org/esc-congress/sessions/13953?</a></p>
<p>Zhang, S., Niu, X., Ma, J., Wei, X., Zhang, J., &amp; Du, W. (2025). Effects of sleep deprivation on heart rate variability: A systematic review and meta-analysis. <em>Frontiers in Neurology, 16</em>, 1556784. </p>
<p><a href="https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full">https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full</a></p>
<p>Menuet, C., Ben-Tal, A., Linossier, A., Allen, A. M., Machado, B. H., Moraes, D. J. A., … Gourine, A. V. (2025). Redefining respiratory sinus arrhythmia as respiratory heart rate variability: An international expert recommendation for terminological clarity. <em>Nature Reviews Cardiology.</em> </p>
<p><a href="https://www.nature.com/articles/s41569-025-01160-z">https://www.nature.com/articles/s41569-025-01160-z</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2136668/c1e-4wnxi1xd5riopgp8-kp9vmg3rs04q-vaives.mp3" length="12014308"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[ References
MacDonald, D. M., et al. (2025). Two-week heart rate variability measurements and lung health: A cross-sectional analysis in the ARIC Study. Respiratory Medicine, 234, 108338.
https://www.resmedjournal.com/article/S0954-6111(25)00401-9/abstract
Kamiya, Y., Saita, K., Kaneko, F., Li, J., & Okamura, H. (2025). Association between sense of coherence and phasic heart rate variability under psychosocial stress conditions. Physiology & Behavior, 298, 114969.
https://www.sciencedirect.com/science/article/abs/pii/S0031938425001702?via%3Dihub
European Society of Cardiology. (2025). How wearables are transforming remote monitoring of cardiovascular diseases. ESC 365 session page, ESC Congress 2025. Retrieved September 2025 from
https://esc365.escardio.org/esc-congress/sessions/13953?
Zhang, S., Niu, X., Ma, J., Wei, X., Zhang, J., & Du, W. (2025). Effects of sleep deprivation on heart rate variability: A systematic review and meta-analysis. Frontiers in Neurology, 16, 1556784. 
https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1556784/full
Menuet, C., Ben-Tal, A., Linossier, A., Allen, A. M., Machado, B. H., Moraes, D. J. A., … Gourine, A. V. (2025). Redefining respiratory sinus arrhythmia as respiratory heart rate variability: An international expert recommendation for terminological clarity. Nature Reviews Cardiology. 
https://www.nature.com/articles/s41569-025-01160-z]]>
                </itunes:summary>
                                                                            <itunes:duration>00:12:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[This Week In HRV Edition]]>
                </title>
                <pubDate>Thu, 04 Sep 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2130682</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/this-week-in-hrv-edition</link>
                                <description>
                                            <![CDATA[<p><strong>Featured Studies</strong></p>
<ol>
<li style="font-weight:400;"><span style="font-weight:400;">Wu, Y-R., Su, W-S., Lin, K-D., &amp; Lin, I-M. (2025). Effect of Heart Rate Variability Biofeedback on Cardiac Autonomic Activation and Diabetes Self-Care in Patients with Type II Diabetes Mellitus. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 315–327. </span><a href="https://link.springer.com/article/10.1007/s10484-024-09666-x"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-024-09666-x</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Kula, Y., Iversen, Z., Levine, A.D., &amp; Gidron, Y. (2025). Does Vagal Nerve Activity Predict Performance in a Naval Commando Selection Test? </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 349–357. </span><a href="https://link.springer.com/article/10.1007/s10484-025-09702-4"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09702-4</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Addleman, J.S., Lackey, N.S., Tobin, M.A., et al. (2025). Heart Rate Variability Applications in Medical Specialties: A Narrative Review. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 359–381. </span><a href="https://link.springer.com/article/10.1007/s10484-025-09708-y"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09708-y</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Wu, D-W., Yang, P-C., &amp; Lin, I-M. (2025). Effects of Heart Rate Variability Biofeedback on Pulmonary Indicators and HRV Indices Among Patients with COPD. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 383–394. </span><a href="https://link.springer.com/article/10.1007/s10484-024-09664-z"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-024-09664-z</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Yang, P-C., Lin, I-M., &amp; Wu, D-W. (2025). Effects of Heart Rate Variability Biofeedback on Enhancing Self-Efficacy, Quality of Life, and Six-Minute Walk Test in Patients with COPD. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 403–416. </span><a href="https://link.springer.com/article/10.1007/s10484-025-09689-y"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09689-y</span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Bufo, M.R., Guidotti, M., Lemaire, M., et al. (2025). Autonomic Disequilibrium at Rest in Autistic Children and Adults. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 465–480.</span><span style="font-weight:400;"><br /></span><a href="https://link.springer.com/article/10.1007/s10484-025-09696-z"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09696-z</span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Chakraborty, H., Vinay, A.V., Sindhu, R., &amp; Sinha, R. (2025). Exploring the Immediate Effects of Nadi Shuddhi Pranayama on Heart Rate Variability Among Young Adults. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 525–533. </span><a href="https://link.springer.com/article/10.1007/s..."></a></li></ol>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Featured Studies

Wu, Y-R., Su, W-S., Lin, K-D., & Lin, I-M. (2025). Effect of Heart Rate Variability Biofeedback on Cardiac Autonomic Activation and Diabetes Self-Care in Patients with Type II Diabetes Mellitus. Applied Psychophysiology and Biofeedback, 50(3), 315–327. https://link.springer.com/article/10.1007/s10484-024-09666-x
Kula, Y., Iversen, Z., Levine, A.D., & Gidron, Y. (2025). Does Vagal Nerve Activity Predict Performance in a Naval Commando Selection Test? Applied Psychophysiology and Biofeedback, 50(3), 349–357. https://link.springer.com/article/10.1007/s10484-025-09702-4
Addleman, J.S., Lackey, N.S., Tobin, M.A., et al. (2025). Heart Rate Variability Applications in Medical Specialties: A Narrative Review. Applied Psychophysiology and Biofeedback, 50(3), 359–381. https://link.springer.com/article/10.1007/s10484-025-09708-y
Wu, D-W., Yang, P-C., & Lin, I-M. (2025). Effects of Heart Rate Variability Biofeedback on Pulmonary Indicators and HRV Indices Among Patients with COPD. Applied Psychophysiology and Biofeedback, 50(3), 383–394. https://link.springer.com/article/10.1007/s10484-024-09664-z
Yang, P-C., Lin, I-M., & Wu, D-W. (2025). Effects of Heart Rate Variability Biofeedback on Enhancing Self-Efficacy, Quality of Life, and Six-Minute Walk Test in Patients with COPD. Applied Psychophysiology and Biofeedback, 50(3), 403–416. https://link.springer.com/article/10.1007/s10484-025-09689-y
Bufo, M.R., Guidotti, M., Lemaire, M., et al. (2025). Autonomic Disequilibrium at Rest in Autistic Children and Adults. Applied Psychophysiology and Biofeedback, 50(3), 465–480.https://link.springer.com/article/10.1007/s10484-025-09696-z
Chakraborty, H., Vinay, A.V., Sindhu, R., & Sinha, R. (2025). Exploring the Immediate Effects of Nadi Shuddhi Pranayama on Heart Rate Variability Among Young Adults. Applied Psychophysiology and Biofeedback, 50(3), 525–533. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[This Week In HRV Edition]]>
                </itunes:title>
                                    <itunes:episode>1</itunes:episode>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><strong>Featured Studies</strong></p>
<ol>
<li style="font-weight:400;"><span style="font-weight:400;">Wu, Y-R., Su, W-S., Lin, K-D., &amp; Lin, I-M. (2025). Effect of Heart Rate Variability Biofeedback on Cardiac Autonomic Activation and Diabetes Self-Care in Patients with Type II Diabetes Mellitus. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 315–327. </span><a href="https://link.springer.com/article/10.1007/s10484-024-09666-x"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-024-09666-x</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Kula, Y., Iversen, Z., Levine, A.D., &amp; Gidron, Y. (2025). Does Vagal Nerve Activity Predict Performance in a Naval Commando Selection Test? </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 349–357. </span><a href="https://link.springer.com/article/10.1007/s10484-025-09702-4"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09702-4</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Addleman, J.S., Lackey, N.S., Tobin, M.A., et al. (2025). Heart Rate Variability Applications in Medical Specialties: A Narrative Review. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 359–381. </span><a href="https://link.springer.com/article/10.1007/s10484-025-09708-y"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09708-y</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Wu, D-W., Yang, P-C., &amp; Lin, I-M. (2025). Effects of Heart Rate Variability Biofeedback on Pulmonary Indicators and HRV Indices Among Patients with COPD. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 383–394. </span><a href="https://link.springer.com/article/10.1007/s10484-024-09664-z"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-024-09664-z</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Yang, P-C., Lin, I-M., &amp; Wu, D-W. (2025). Effects of Heart Rate Variability Biofeedback on Enhancing Self-Efficacy, Quality of Life, and Six-Minute Walk Test in Patients with COPD. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 403–416. </span><a href="https://link.springer.com/article/10.1007/s10484-025-09689-y"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09689-y</span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Bufo, M.R., Guidotti, M., Lemaire, M., et al. (2025). Autonomic Disequilibrium at Rest in Autistic Children and Adults. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 465–480.</span><span style="font-weight:400;"><br /></span><a href="https://link.springer.com/article/10.1007/s10484-025-09696-z"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09696-z</span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Chakraborty, H., Vinay, A.V., Sindhu, R., &amp; Sinha, R. (2025). Exploring the Immediate Effects of Nadi Shuddhi Pranayama on Heart Rate Variability Among Young Adults. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 525–533. </span><a href="https://link.springer.com/article/10.1007/s10484-025-09710-4"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09710-4</span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Liu, Z., Zheng, S., Wang, H., &amp; Wang, H. (2025). Acute Effects of Resonance Breathing on Skin Sympathetic Nerve Activity and Heart Rate Variability in Healthy Adults. </span><em><span style="font-weight:400;">Applied Psychophysiology and Biofeedback, 50</span></em><span style="font-weight:400;">(3), 535–545. </span><a href="https://link.springer.com/article/10.1007/s10484-025-09711-3"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s10484-025-09711-3</span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Dewig, H.G., Cohen, J.N., Renaghan, E.J., et al. (2024). Are Wearable Photoplethysmogram-Based Heart Rate Variability Measures Equivalent to Electrocardiogram? A Simulation Study. </span><em><span style="font-weight:400;">Sports Medicine, 54</span></em><span style="font-weight:400;">(12), 2927–2934. </span><a href="https://link.springer.com/article/10.1007/s40279-024-02066-5"><span style="font-weight:400;">https://link.springer.com/article/10.1007/s40279-024-02066-5</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Reynolds, G. (2025, August 19). This often-ignored smartwatch health metric can help you manage stress. </span><em><span style="font-weight:400;">The Washington Post – Well+Being. </span></em><a href="https://www.washingtonpost.com/wellness/2025/08/19/heart-rate-variability-stress-longevity/"><span style="font-weight:400;">https://www.washingtonpost.com/wellness/2025/08/19/heart-rate-variability-stress-longevity/</span><span style="font-weight:400;"><br /><br /></span></a></li>
<li style="font-weight:400;"><span style="font-weight:400;">Filchenko, I., et al. (2025, June). Heart rate variability during sleep as an early warning sign of future stroke, depression, and cognitive decline. </span><em><span style="font-weight:400;">EAN Congress 2025 presentation</span></em><span style="font-weight:400;">, reported by </span><em><span style="font-weight:400;">News-Medical.</span></em></li>
</ol>
<p><a href="https://www.news-medical.net/news/20250620/Study-links-sleep-heart-rate-variability-to-stroke-and-depression-risk.aspx#:~:text=Study%20links%20sleep%20heart%20rate,to%20stroke%20and%20depression%20risk"><span style="font-weight:400;">https://www.news-medical.net/news/20250620/Study-links-sleep-heart-rate-variability-to-stroke-and-depression-risk.aspx#:~:text=Study%20links%20sleep%20heart%20rate,to%20stroke%20and%20depression%20risk</span><span style="font-weight:400;"><br /><br /></span></a></p>
<p> </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2130682/c1e-x6n4a938d3an7w7k-jp36ok6kiow5-brgypx.mp3" length="18809489"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Featured Studies

Wu, Y-R., Su, W-S., Lin, K-D., & Lin, I-M. (2025). Effect of Heart Rate Variability Biofeedback on Cardiac Autonomic Activation and Diabetes Self-Care in Patients with Type II Diabetes Mellitus. Applied Psychophysiology and Biofeedback, 50(3), 315–327. https://link.springer.com/article/10.1007/s10484-024-09666-x
Kula, Y., Iversen, Z., Levine, A.D., & Gidron, Y. (2025). Does Vagal Nerve Activity Predict Performance in a Naval Commando Selection Test? Applied Psychophysiology and Biofeedback, 50(3), 349–357. https://link.springer.com/article/10.1007/s10484-025-09702-4
Addleman, J.S., Lackey, N.S., Tobin, M.A., et al. (2025). Heart Rate Variability Applications in Medical Specialties: A Narrative Review. Applied Psychophysiology and Biofeedback, 50(3), 359–381. https://link.springer.com/article/10.1007/s10484-025-09708-y
Wu, D-W., Yang, P-C., & Lin, I-M. (2025). Effects of Heart Rate Variability Biofeedback on Pulmonary Indicators and HRV Indices Among Patients with COPD. Applied Psychophysiology and Biofeedback, 50(3), 383–394. https://link.springer.com/article/10.1007/s10484-024-09664-z
Yang, P-C., Lin, I-M., & Wu, D-W. (2025). Effects of Heart Rate Variability Biofeedback on Enhancing Self-Efficacy, Quality of Life, and Six-Minute Walk Test in Patients with COPD. Applied Psychophysiology and Biofeedback, 50(3), 403–416. https://link.springer.com/article/10.1007/s10484-025-09689-y
Bufo, M.R., Guidotti, M., Lemaire, M., et al. (2025). Autonomic Disequilibrium at Rest in Autistic Children and Adults. Applied Psychophysiology and Biofeedback, 50(3), 465–480.https://link.springer.com/article/10.1007/s10484-025-09696-z
Chakraborty, H., Vinay, A.V., Sindhu, R., & Sinha, R. (2025). Exploring the Immediate Effects of Nadi Shuddhi Pranayama on Heart Rate Variability Among Young Adults. Applied Psychophysiology and Biofeedback, 50(3), 525–533. ]]>
                </itunes:summary>
                                                                            <itunes:duration>00:19:35</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Jarhed Peña Talks Heart Rate Variability and Interoception across Diverse Populations]]>
                </title>
                <pubDate>Thu, 04 Sep 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2114871</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/jarhed-pena-talks-heart-rate-variability-and-interoception-across-diverse-populations</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett welcomes Jarhed Peña Jarhed to the show to discuss how he discovered and applies heart rate variability and HRV biofeedback into his therapeutic work. We cover a wide range of typics, research, and applications of HRV. </p>
<p>http://recoveryandbalance.com/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett welcomes Jarhed Peña Jarhed to the show to discuss how he discovered and applies heart rate variability and HRV biofeedback into his therapeutic work. We cover a wide range of typics, research, and applications of HRV. 
http://recoveryandbalance.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Jarhed Peña Talks Heart Rate Variability and Interoception across Diverse Populations]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett welcomes Jarhed Peña Jarhed to the show to discuss how he discovered and applies heart rate variability and HRV biofeedback into his therapeutic work. We cover a wide range of typics, research, and applications of HRV. </p>
<p>http://recoveryandbalance.com/</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2114871/c1e-0w3pikmp66h2o0k8-z3knq08qb9q3-qbezod.mp3" length="61218983"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett welcomes Jarhed Peña Jarhed to the show to discuss how he discovered and applies heart rate variability and HRV biofeedback into his therapeutic work. We cover a wide range of typics, research, and applications of HRV. 
http://recoveryandbalance.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2114871/c1a-rqx3-gpz1mmgwi6jr-wypimc.png"></itunes:image>
                                                                            <itunes:duration>01:00:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[200th Episode: Past, Present, and Future]]>
                </title>
                <pubDate>Tue, 02 Sep 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2127630</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/200th-episode-past-present-and-future</link>
                                <description>
                                            <![CDATA[<p>We did it! 200 original episodes of the Heart Rate Variability Podcast. We celebrate with a look back and forward. Thank you for joining us on this journey!</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[We did it! 200 original episodes of the Heart Rate Variability Podcast. We celebrate with a look back and forward. Thank you for joining us on this journey!]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[200th Episode: Past, Present, and Future]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>We did it! 200 original episodes of the Heart Rate Variability Podcast. We celebrate with a look back and forward. Thank you for joining us on this journey!</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2127630/c1e-83zqtoz16ohq158w-7z9oxqd7s3d1-ipx39j.mp3" length="8505578"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[We did it! 200 original episodes of the Heart Rate Variability Podcast. We celebrate with a look back and forward. Thank you for joining us on this journey!]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2127630/c1a-rqx3-pkxqvd31i651-h9yagm.png"></itunes:image>
                                                                            <itunes:duration>00:23:08</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Stephanie White discusses her Innovative use of HRV Metrics]]>
                </title>
                <pubDate>Thu, 28 Aug 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2095010</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/hrv-podcast</link>
                                <description>
                                            <![CDATA[<p>In this episode, Stephanie White joins Matt Bennett to discuss how she utilizes SDNN and CVNN HRV metrics in her work on chronic disease and autonomic dysregulation. </p>
<p>Stephanie uses visual demonstrations throughout this episode. You can see these visuals on our YouTube Channel.  https://youtu.be/gj6DHPSWEVY</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Stephanie White joins Matt Bennett to discuss how she utilizes SDNN and CVNN HRV metrics in her work on chronic disease and autonomic dysregulation. 
Stephanie uses visual demonstrations throughout this episode. You can see these visuals on our YouTube Channel.  https://youtu.be/gj6DHPSWEVY]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Stephanie White discusses her Innovative use of HRV Metrics]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Stephanie White joins Matt Bennett to discuss how she utilizes SDNN and CVNN HRV metrics in her work on chronic disease and autonomic dysregulation. </p>
<p>Stephanie uses visual demonstrations throughout this episode. You can see these visuals on our YouTube Channel.  https://youtu.be/gj6DHPSWEVY</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2095010/c1e-dr92fmonk7h3kdkx-7z998g3ks9k6-pmjxuo.mp3" length="57714551"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Stephanie White joins Matt Bennett to discuss how she utilizes SDNN and CVNN HRV metrics in her work on chronic disease and autonomic dysregulation. 
Stephanie uses visual demonstrations throughout this episode. You can see these visuals on our YouTube Channel.  https://youtu.be/gj6DHPSWEVY]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2095010/c1a-rqx3-dm22j0z4h23r-drwdpk.png"></itunes:image>
                                                                            <itunes:duration>00:56:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Erik Peper Discusses Pain and Pain Management]]>
                </title>
                <pubDate>Thu, 21 Aug 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2084928</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-erik-peper-discusses-pain-and-pain-management</link>
                                <description>
                                            <![CDATA[<p style="font-weight:400;">In this episode, Matt Bennett interviews Dr. Erik Peper on his recent article <em>Pain - There is Hope</em>. We discuss the nature and experience of pain and factors that can increase or midigate pain. </p>
<p style="font-weight:400;">Erik Peper’s teaching and research focuses on self-healing strategies, illness prevention, the effects of posture and respiration, and how to use biofeedback and wearable devices. Each year he mentors undergraduate student researchers to create and complete studies that are presented at scientific meetings. He is an international authority on biofeedback and self-regulation and author of scientific articles and books such as<em> Make Health Happen,</em> <em>Fighting Cancer-A Nontoxic Approach to Treatment, </em>and <em>Biofeedback Mastery</em>. His most recent co-authored book is, <em>TechStress: How Technology is Hijacking Our Lives, Strategies for Coping, and Pragmatic Ergonomics</em>.  He publishes the blog, <em>The Peper Perspective</em>-<em>ideas on illness, health and well-being</em> (<a href="/">peperperspective.com)</a>. In 2013 was received the Biofeedback Distinguished Scientist Award in recognition of outstanding career &amp; scientific contributions from the Association for Applied Psychophysiology.</p>
<p style="font-weight:400;">Email: <a href="mailto:epeper@sfsu.edu">epeper@sfsu.edu</a></p>
<p style="font-weight:400;">Web: <a href="https://rpt.sfsu.edu/ihhs">https://rpt.sfsu.edu/ihhs</a></p>
<p style="font-weight:400;">Blog: <a href="https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.peperperspective.com%2F&amp;data=05%7C01%7Cepeper%40sfsu.edu%7C4828e5265f7042b78ebc08daeb63c7f9%7Cd8fbe335822c41a987747f16709aac9f%7C0%7C0%7C638081111035811971%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=MBNq9p0rcaqh9i4mBMD2Gr641VfAaMHxTP%2Bfmn70BC4%3D&amp;reserved=0">www.peperperspective.com</a></p>
<p style="font-weight:400;">Web: <a href="https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.biofeedbackhealth.org%2F&amp;data=05%7C01%7Cepeper%40sfsu.edu%7C4828e5265f7042b78ebc08daeb63c7f9%7Cd8fbe335822c41a987747f16709aac9f%7C0%7C0%7C638081111035811971%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=W9KHuhFwX6Bq8o%2FCp056%2BvxcyDzWudAOkBA4PxjAEfw%3D&amp;reserved=0">www.biofeedbackhealth.org</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett interviews Dr. Erik Peper on his recent article Pain - There is Hope. We discuss the nature and experience of pain and factors that can increase or midigate pain. 
Erik Peper’s teaching and research focuses on self-healing strategies, illness prevention, the effects of posture and respiration, and how to use biofeedback and wearable devices. Each year he mentors undergraduate student researchers to create and complete studies that are presented at scientific meetings. He is an international authority on biofeedback and self-regulation and author of scientific articles and books such as Make Health Happen, Fighting Cancer-A Nontoxic Approach to Treatment, and Biofeedback Mastery. His most recent co-authored book is, TechStress: How Technology is Hijacking Our Lives, Strategies for Coping, and Pragmatic Ergonomics.  He publishes the blog, The Peper Perspective-ideas on illness, health and well-being (peperperspective.com). In 2013 was received the Biofeedback Distinguished Scientist Award in recognition of outstanding career & scientific contributions from the Association for Applied Psychophysiology.
Email: epeper@sfsu.edu
Web: https://rpt.sfsu.edu/ihhs
Blog: www.peperperspective.com
Web: www.biofeedbackhealth.org]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Erik Peper Discusses Pain and Pain Management]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p style="font-weight:400;">In this episode, Matt Bennett interviews Dr. Erik Peper on his recent article <em>Pain - There is Hope</em>. We discuss the nature and experience of pain and factors that can increase or midigate pain. </p>
<p style="font-weight:400;">Erik Peper’s teaching and research focuses on self-healing strategies, illness prevention, the effects of posture and respiration, and how to use biofeedback and wearable devices. Each year he mentors undergraduate student researchers to create and complete studies that are presented at scientific meetings. He is an international authority on biofeedback and self-regulation and author of scientific articles and books such as<em> Make Health Happen,</em> <em>Fighting Cancer-A Nontoxic Approach to Treatment, </em>and <em>Biofeedback Mastery</em>. His most recent co-authored book is, <em>TechStress: How Technology is Hijacking Our Lives, Strategies for Coping, and Pragmatic Ergonomics</em>.  He publishes the blog, <em>The Peper Perspective</em>-<em>ideas on illness, health and well-being</em> (<a href="/">peperperspective.com)</a>. In 2013 was received the Biofeedback Distinguished Scientist Award in recognition of outstanding career &amp; scientific contributions from the Association for Applied Psychophysiology.</p>
<p style="font-weight:400;">Email: <a href="mailto:epeper@sfsu.edu">epeper@sfsu.edu</a></p>
<p style="font-weight:400;">Web: <a href="https://rpt.sfsu.edu/ihhs">https://rpt.sfsu.edu/ihhs</a></p>
<p style="font-weight:400;">Blog: <a href="https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.peperperspective.com%2F&amp;data=05%7C01%7Cepeper%40sfsu.edu%7C4828e5265f7042b78ebc08daeb63c7f9%7Cd8fbe335822c41a987747f16709aac9f%7C0%7C0%7C638081111035811971%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=MBNq9p0rcaqh9i4mBMD2Gr641VfAaMHxTP%2Bfmn70BC4%3D&amp;reserved=0">www.peperperspective.com</a></p>
<p style="font-weight:400;">Web: <a href="https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.biofeedbackhealth.org%2F&amp;data=05%7C01%7Cepeper%40sfsu.edu%7C4828e5265f7042b78ebc08daeb63c7f9%7Cd8fbe335822c41a987747f16709aac9f%7C0%7C0%7C638081111035811971%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=W9KHuhFwX6Bq8o%2FCp056%2BvxcyDzWudAOkBA4PxjAEfw%3D&amp;reserved=0">www.biofeedbackhealth.org</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2084928/c1e-0w3pikkn23h2o4n8-8dq46m54s2v4-eyqzsb.mp3" length="47094479"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett interviews Dr. Erik Peper on his recent article Pain - There is Hope. We discuss the nature and experience of pain and factors that can increase or midigate pain. 
Erik Peper’s teaching and research focuses on self-healing strategies, illness prevention, the effects of posture and respiration, and how to use biofeedback and wearable devices. Each year he mentors undergraduate student researchers to create and complete studies that are presented at scientific meetings. He is an international authority on biofeedback and self-regulation and author of scientific articles and books such as Make Health Happen, Fighting Cancer-A Nontoxic Approach to Treatment, and Biofeedback Mastery. His most recent co-authored book is, TechStress: How Technology is Hijacking Our Lives, Strategies for Coping, and Pragmatic Ergonomics.  He publishes the blog, The Peper Perspective-ideas on illness, health and well-being (peperperspective.com). In 2013 was received the Biofeedback Distinguished Scientist Award in recognition of outstanding career & scientific contributions from the Association for Applied Psychophysiology.
Email: epeper@sfsu.edu
Web: https://rpt.sfsu.edu/ihhs
Blog: www.peperperspective.com
Web: www.biofeedbackhealth.org]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2084928/c1a-rqx3-8dq46m5wfxo0-pulmid.png"></itunes:image>
                                                                            <itunes:duration>00:45:22</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Angele Mcgrady and Dr. Donald Moss talk HRV and Pathways Model]]>
                </title>
                <pubDate>Thu, 14 Aug 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2074995</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-angele-mcgrady-and-dr-donald-moss-talk-hrv-and-pathways-model</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Angele McGrady and Dr. Donald Moss join Matt Bennett to talk about how heart rate variability informs their Pathway Model. We discuss their new book: <a href="https://www.amazon.com/gp/product/B0FCS6PJDS/ref=ppx_yo_dt_b_d_asin_title_351_o00?ie=UTF8&amp;psc=1"><em><span class="a-size-large celwidget">Pathways through Long-Term Health Conditions: Lifestyle Medicine to Maximise Your Wellbeing.</span></em></a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Angele McGrady and Dr. Donald Moss join Matt Bennett to talk about how heart rate variability informs their Pathway Model. We discuss their new book: Pathways through Long-Term Health Conditions: Lifestyle Medicine to Maximise Your Wellbeing.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Angele Mcgrady and Dr. Donald Moss talk HRV and Pathways Model]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Angele McGrady and Dr. Donald Moss join Matt Bennett to talk about how heart rate variability informs their Pathway Model. We discuss their new book: <a href="https://www.amazon.com/gp/product/B0FCS6PJDS/ref=ppx_yo_dt_b_d_asin_title_351_o00?ie=UTF8&amp;psc=1"><em><span class="a-size-large celwidget">Pathways through Long-Term Health Conditions: Lifestyle Medicine to Maximise Your Wellbeing.</span></em></a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2074995/c1e-x6n4a99d38irxjg3-gp3x2nkvc9wp-ywekfn.mp3" length="58167767"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Angele McGrady and Dr. Donald Moss join Matt Bennett to talk about how heart rate variability informs their Pathway Model. We discuss their new book: Pathways through Long-Term Health Conditions: Lifestyle Medicine to Maximise Your Wellbeing.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2074995/c1a-rqx3-v6d71rz3bvm9-ssulxk.png"></itunes:image>
                                                                            <itunes:duration>00:54:07</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Physician Deborah Borne talks HRV and Energy Medicine]]>
                </title>
                <pubDate>Thu, 07 Aug 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2072336</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/physician-deborah-borne-talks-hrv-and-energy-medicine</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Deborah Borne returns to discuss how she has integrated energy medicine with her work as a physician. Deb and Matt Bennett explore the nature of energy medicine and the role HRV plays in measuring efficacy and supporting outcomes.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Deborah Borne returns to discuss how she has integrated energy medicine with her work as a physician. Deb and Matt Bennett explore the nature of energy medicine and the role HRV plays in measuring efficacy and supporting outcomes.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Physician Deborah Borne talks HRV and Energy Medicine]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Deborah Borne returns to discuss how she has integrated energy medicine with her work as a physician. Deb and Matt Bennett explore the nature of energy medicine and the role HRV plays in measuring efficacy and supporting outcomes.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2072336/c1e-1w95i5jpm0c4r1n5-gp3o8vzrf05j-jwfyz8.mp3" length="52705319"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Deborah Borne returns to discuss how she has integrated energy medicine with her work as a physician. Deb and Matt Bennett explore the nature of energy medicine and the role HRV plays in measuring efficacy and supporting outcomes.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2072336/c1a-rqx3-47kz5rxzfx13-fe3h5y.png"></itunes:image>
                                                                            <itunes:duration>00:48:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Lynda Thompson Discusses the Synergy between HRV Biofeedback and Neurofeedback]]>
                </title>
                <pubDate>Thu, 31 Jul 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2072400</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-lynda-thompson-discusses-the-synergy-between-hrv-biofeedback-and-neurofeedback</link>
                                <description>
                                            <![CDATA[<p>In this episode, Lynda Thompson joins Matt Bennett to discuss her career and research with HRV biofeedback, neurofeedback, and attention-deficit/hyperactivity disorder (ADHD). We do a deep dive into her recent paper: Synergy between Neurofeedback and Biofeedback Enhances Therapeutic Outcomes. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Lynda Thompson joins Matt Bennett to discuss her career and research with HRV biofeedback, neurofeedback, and attention-deficit/hyperactivity disorder (ADHD). We do a deep dive into her recent paper: Synergy between Neurofeedback and Biofeedback Enhances Therapeutic Outcomes. ]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[Dr. Lynda Thompson Discusses the Synergy between HRV Biofeedback and Neurofeedback]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Lynda Thompson joins Matt Bennett to discuss her career and research with HRV biofeedback, neurofeedback, and attention-deficit/hyperactivity disorder (ADHD). We do a deep dive into her recent paper: Synergy between Neurofeedback and Biofeedback Enhances Therapeutic Outcomes. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2072400/c1e-mpvjfqngxwix3m0j-47kz58rds0p2-ouw7ef.mp3" length="53925623"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Lynda Thompson joins Matt Bennett to discuss her career and research with HRV biofeedback, neurofeedback, and attention-deficit/hyperactivity disorder (ADHD). We do a deep dive into her recent paper: Synergy between Neurofeedback and Biofeedback Enhances Therapeutic Outcomes. ]]>
                </itunes:summary>
                                                                            <itunes:duration>00:50:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Anu Kotay discusses her Journey and Work with HRV]]>
                </title>
                <pubDate>Thu, 24 Jul 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2072193</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-anu-kotay-discusses-her-journey-and-work-with-hrv</link>
                                <description>
                                            <![CDATA[<p>In this episode, Anu Kotay joins Matt Bennett to discuss her career, heart rate variability, and how a team of innovative professionals integrates HRV into pain medicine within a large healthcare system. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Anu Kotay joins Matt Bennett to discuss her career, heart rate variability, and how a team of innovative professionals integrates HRV into pain medicine within a large healthcare system. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Anu Kotay discusses her Journey and Work with HRV]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Anu Kotay joins Matt Bennett to discuss her career, heart rate variability, and how a team of innovative professionals integrates HRV into pain medicine within a large healthcare system. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2072193/c1e-6xg3fo2x3ni5j408-1pkm9q21f0o2-4i9xyv.mp3" length="47056487"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Anu Kotay joins Matt Bennett to discuss her career, heart rate variability, and how a team of innovative professionals integrates HRV into pain medicine within a large healthcare system. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2072193/c1a-rqx3-6zovg48pf66v-sot2cc.png"></itunes:image>
                                                                            <itunes:duration>00:45:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Heidi Hillman Discusses her Research on HRV Biofeedback to address Anger in Autistic Youth]]>
                </title>
                <pubDate>Thu, 17 Jul 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2052684</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-heidi-hillman-discusses-her-research-on-hrv-biofeedback-to-address-anger-in-autistic-youth</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Heidi Hillman joins Matt Bennett to discuss her recent paper: Effectiveness of HRV Biofeedback in Decreasing Anger Among Adolescents With Autism Spectrum Disorder.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Heidi Hillman joins Matt Bennett to discuss her recent paper: Effectiveness of HRV Biofeedback in Decreasing Anger Among Adolescents With Autism Spectrum Disorder.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Heidi Hillman Discusses her Research on HRV Biofeedback to address Anger in Autistic Youth]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Heidi Hillman joins Matt Bennett to discuss her recent paper: Effectiveness of HRV Biofeedback in Decreasing Anger Among Adolescents With Autism Spectrum Disorder.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2052684/c1e-zqgkt784nxfq1pdv-rk4q2m2kc9q0-6lpvww.mp3" length="57339167"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Heidi Hillman joins Matt Bennett to discuss her recent paper: Effectiveness of HRV Biofeedback in Decreasing Anger Among Adolescents With Autism Spectrum Disorder.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2052684/c1a-rqx3-0vkw9m9xs6wq-z2icwv.png"></itunes:image>
                                                                            <itunes:duration>00:56:05</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Judith Andersen discusses the International Performance, Resilience, and Efficiency Program (Replay)]]>
                </title>
                <pubDate>Thu, 10 Jul 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2066869</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-judith-andersen-discusses-the-international-performance-resilience-and-efficiency-program-replay</link>
                                <description>
                                            <![CDATA[<p>In this episode. Dr. Judith Andersen and Matt Bennett discuss how she integrated heart rate variability and HRV Biofeedback into her work with police officers and the development of the International Performance, Resilience, and Efficiency Program.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode. Dr. Judith Andersen and Matt Bennett discuss how she integrated heart rate variability and HRV Biofeedback into her work with police officers and the development of the International Performance, Resilience, and Efficiency Program.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Judith Andersen discusses the International Performance, Resilience, and Efficiency Program (Replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode. Dr. Judith Andersen and Matt Bennett discuss how she integrated heart rate variability and HRV Biofeedback into her work with police officers and the development of the International Performance, Resilience, and Efficiency Program.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2066869/c1e-vqr4t79q5du4dopm-9jrokvdws1m5-dygktg.mp3" length="61402525"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode. Dr. Judith Andersen and Matt Bennett discuss how she integrated heart rate variability and HRV Biofeedback into her work with police officers and the development of the International Performance, Resilience, and Efficiency Program.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2066869/c1a-rqx3-xxo2prdmbp5q-m9stly.png"></itunes:image>
                                                                            <itunes:duration>01:02:02</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Joshua Marchant talks about his HRV Research Comparing Popular Breathing Practices (Replay)]]>
                </title>
                <pubDate>Thu, 03 Jul 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2066864</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/joshua-marchant-talks-about-his-hrv-research-comparing-popular-breathing-practices-replay</link>
                                <description>
                                            <![CDATA[<p>In this episode, Joshua Marchant joins Matt to discuss his research comparing how resonance frequency, square breathing, and 4-7-8 breathing impact heart rate variability.</p>
<p>Josh is a 1st-year student studying clinical psychology at Brigham Young University. He is interested in combining psychotherapy with biofeedback to improve mental health treatment outcomes. He works under the mentorship of Dr. Patrick Steffen. Josh is also a father of two little boys and loves spending time with his family.</p>
<p>Here is a link to the presentation slides for Josh's thesis, including data and graphs for the data: <a href="https://docs.google.com/presentation/d/1djNhRAn7avAgO3ZNwFV3d4VjvZJBOIsJ/edit?usp=sharing&amp;ouid=115393129857853066622&amp;rtpof=true&amp;sd=true" target="_blank" rel="noreferrer noopener">https://docs.google.com/presentation/d/1djNhRAn7avAgO3ZNwFV3d4VjvZJBOIsJ/edit?usp=sharing&amp;ouid=115393129857853066622&amp;rtpof=true&amp;sd=true</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Joshua Marchant joins Matt to discuss his research comparing how resonance frequency, square breathing, and 4-7-8 breathing impact heart rate variability.
Josh is a 1st-year student studying clinical psychology at Brigham Young University. He is interested in combining psychotherapy with biofeedback to improve mental health treatment outcomes. He works under the mentorship of Dr. Patrick Steffen. Josh is also a father of two little boys and loves spending time with his family.
Here is a link to the presentation slides for Josh's thesis, including data and graphs for the data: https://docs.google.com/presentation/d/1djNhRAn7avAgO3ZNwFV3d4VjvZJBOIsJ/edit?usp=sharing&ouid=115393129857853066622&rtpof=true&sd=true]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Joshua Marchant talks about his HRV Research Comparing Popular Breathing Practices (Replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Joshua Marchant joins Matt to discuss his research comparing how resonance frequency, square breathing, and 4-7-8 breathing impact heart rate variability.</p>
<p>Josh is a 1st-year student studying clinical psychology at Brigham Young University. He is interested in combining psychotherapy with biofeedback to improve mental health treatment outcomes. He works under the mentorship of Dr. Patrick Steffen. Josh is also a father of two little boys and loves spending time with his family.</p>
<p>Here is a link to the presentation slides for Josh's thesis, including data and graphs for the data: <a href="https://docs.google.com/presentation/d/1djNhRAn7avAgO3ZNwFV3d4VjvZJBOIsJ/edit?usp=sharing&amp;ouid=115393129857853066622&amp;rtpof=true&amp;sd=true" target="_blank" rel="noreferrer noopener">https://docs.google.com/presentation/d/1djNhRAn7avAgO3ZNwFV3d4VjvZJBOIsJ/edit?usp=sharing&amp;ouid=115393129857853066622&amp;rtpof=true&amp;sd=true</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2066864/c1e-zqgkt7mx39aqng9j-8drx7vg8bk0j-gkowl7.mp3" length="29450623"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Joshua Marchant joins Matt to discuss his research comparing how resonance frequency, square breathing, and 4-7-8 breathing impact heart rate variability.
Josh is a 1st-year student studying clinical psychology at Brigham Young University. He is interested in combining psychotherapy with biofeedback to improve mental health treatment outcomes. He works under the mentorship of Dr. Patrick Steffen. Josh is also a father of two little boys and loves spending time with his family.
Here is a link to the presentation slides for Josh's thesis, including data and graphs for the data: https://docs.google.com/presentation/d/1djNhRAn7avAgO3ZNwFV3d4VjvZJBOIsJ/edit?usp=sharing&ouid=115393129857853066622&rtpof=true&sd=true]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2066864/c1a-rqx3-jpd5wovxar4j-wp4avg.png"></itunes:image>
                                                                            <itunes:duration>00:29:21</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Aliyah Snyder & Dr. Nate Ewigman talk About Psychophysiology Resilience Training (replay)]]>
                </title>
                <pubDate>Thu, 26 Jun 2025 06:02:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2066858</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-aliyah-snyder-dr-nate-ewigman-talk-about-psychophysiology-resilience-training-replay</link>
                                <description>
                                            <![CDATA[<p>Dr. Aliyah Snyder &amp; Dr. Nate Ewigman join Matt to discuss their Psychophysiology Resilience Training Model. </p>
<p>Psychophysiology Resilience Training (PRT) is a 12-session, mindfulness-based biofeedback treatment protocol developed by Drs. Nate Ewigman &amp; Aliyah Snyder. The treatment is applicable to a wide range of conditions and concerns that impact stress management and recovery by way of the Autonomic Nervous System. Some examples include traumatic brain injury, long COVID, migraine, chronic pain, anxiety, and depression. In the first part of treatment, the client receives a stress profile which is a comprehensive psychophysiological assessment with individualized feedback and then learns evidence-based skills of psychophysiological <em>stress recovery</em>. After these skills are mastered and practiced regularly, the client then learns about their mind-body connection and how it relates to their concerns and/or symptoms, how to improve their healthy body awareness, skillful ways to deal with emotions and thoughts, and how to use these techniques to recover from and <em>prevent</em> stress from becoming chronic. Finally, the client receives tailored feedback on their progress. Currently, this treatment is still being tested and is currently only available in person in private clinics in Los Angeles and the San Francisco Bay Area.</p>
<p>Nate Ewigman: <a href="mailto:drnateewigman@gmail.com">drnateewigman@gmail.com </a></p>
<p>Aliyah Snyder: <a href="mailto:aliyahsnyderphd@gmail.com">aliyahsnyderphd@gmail.com</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dr. Aliyah Snyder & Dr. Nate Ewigman join Matt to discuss their Psychophysiology Resilience Training Model. 
Psychophysiology Resilience Training (PRT) is a 12-session, mindfulness-based biofeedback treatment protocol developed by Drs. Nate Ewigman & Aliyah Snyder. The treatment is applicable to a wide range of conditions and concerns that impact stress management and recovery by way of the Autonomic Nervous System. Some examples include traumatic brain injury, long COVID, migraine, chronic pain, anxiety, and depression. In the first part of treatment, the client receives a stress profile which is a comprehensive psychophysiological assessment with individualized feedback and then learns evidence-based skills of psychophysiological stress recovery. After these skills are mastered and practiced regularly, the client then learns about their mind-body connection and how it relates to their concerns and/or symptoms, how to improve their healthy body awareness, skillful ways to deal with emotions and thoughts, and how to use these techniques to recover from and prevent stress from becoming chronic. Finally, the client receives tailored feedback on their progress. Currently, this treatment is still being tested and is currently only available in person in private clinics in Los Angeles and the San Francisco Bay Area.
Nate Ewigman: drnateewigman@gmail.com 
Aliyah Snyder: aliyahsnyderphd@gmail.com]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[Dr. Aliyah Snyder & Dr. Nate Ewigman talk About Psychophysiology Resilience Training (replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dr. Aliyah Snyder &amp; Dr. Nate Ewigman join Matt to discuss their Psychophysiology Resilience Training Model. </p>
<p>Psychophysiology Resilience Training (PRT) is a 12-session, mindfulness-based biofeedback treatment protocol developed by Drs. Nate Ewigman &amp; Aliyah Snyder. The treatment is applicable to a wide range of conditions and concerns that impact stress management and recovery by way of the Autonomic Nervous System. Some examples include traumatic brain injury, long COVID, migraine, chronic pain, anxiety, and depression. In the first part of treatment, the client receives a stress profile which is a comprehensive psychophysiological assessment with individualized feedback and then learns evidence-based skills of psychophysiological <em>stress recovery</em>. After these skills are mastered and practiced regularly, the client then learns about their mind-body connection and how it relates to their concerns and/or symptoms, how to improve their healthy body awareness, skillful ways to deal with emotions and thoughts, and how to use these techniques to recover from and <em>prevent</em> stress from becoming chronic. Finally, the client receives tailored feedback on their progress. Currently, this treatment is still being tested and is currently only available in person in private clinics in Los Angeles and the San Francisco Bay Area.</p>
<p>Nate Ewigman: <a href="mailto:drnateewigman@gmail.com">drnateewigman@gmail.com </a></p>
<p>Aliyah Snyder: <a href="mailto:aliyahsnyderphd@gmail.com">aliyahsnyderphd@gmail.com</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2066858/c1e-vqr4t79q5nt4ok84-0vkzm120a77p-bff9o1.mp3" length="54291480"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Dr. Aliyah Snyder & Dr. Nate Ewigman join Matt to discuss their Psychophysiology Resilience Training Model. 
Psychophysiology Resilience Training (PRT) is a 12-session, mindfulness-based biofeedback treatment protocol developed by Drs. Nate Ewigman & Aliyah Snyder. The treatment is applicable to a wide range of conditions and concerns that impact stress management and recovery by way of the Autonomic Nervous System. Some examples include traumatic brain injury, long COVID, migraine, chronic pain, anxiety, and depression. In the first part of treatment, the client receives a stress profile which is a comprehensive psychophysiological assessment with individualized feedback and then learns evidence-based skills of psychophysiological stress recovery. After these skills are mastered and practiced regularly, the client then learns about their mind-body connection and how it relates to their concerns and/or symptoms, how to improve their healthy body awareness, skillful ways to deal with emotions and thoughts, and how to use these techniques to recover from and prevent stress from becoming chronic. Finally, the client receives tailored feedback on their progress. Currently, this treatment is still being tested and is currently only available in person in private clinics in Los Angeles and the San Francisco Bay Area.
Nate Ewigman: drnateewigman@gmail.com 
Aliyah Snyder: aliyahsnyderphd@gmail.com]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2066858/c1a-rqx3-25nv1qk5uwx-ojalh5.png"></itunes:image>
                                                                            <itunes:duration>00:53:33</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Christine Sanchez talks HRV Biofeedback for Optimal Performance (Replay)]]>
                </title>
                <pubDate>Thu, 19 Jun 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2066851</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-christine-sanchez-talks-hrv-biofeedback-for-optimal-performance-replay</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Christine Sanchez joins Matt and Inna to discuss her work providing mental skills training and executive coaching to high-level performers and teams.</p>
<p style="font-weight:400;">Dr. Christine Sanchez specializes in providing mental skills training and executive coaching to high level performers and teams. Her diverse portfolio of clients includes elite military service members, first responders, executives, professional athletes, and other performers who desire to unlock their true potential. She is passionate about being an “aid to navigation” in assisting clients to return home to their authentic self and purpose.</p>
<p style="font-weight:400;">Dr. Sanchez is best known for her work targeting mindful performance under pressure, productive failures, and well-being optimization. She routinely integrates Heart Rate Variability Biofeedback and capnography training for facilitating optimal performance in high stress scenarios. Restorative practices for deliberate recovery is a popular topic she works with clients on, integrating breathwork, nature based wisdom, mindfulness, meaningful social connection, and movement.</p>
<p style="font-weight:400;"> Dr. Sanchez earned her PhD in Sport and Performance Psychology from Florida State University, and currently holds the following certifications: Board Certified in Biofeedback (BCB), Certified Mental Performance Consultant (CMPC), Certified Breathing Behavioral Analyst (CBBA), and ICF Associate Certified Coach (in progress). She resides in Virginia Beach, VA where she soaks up all the water time she can get paddling, surfing, and swimming.</p>
<div><a href="mailto:drchristinesanchez@gmail.com" target="_blank" rel="noreferrer noopener">drchristinesanchez@gmail.com</a></div>
<div><a href="https://www.linkedin.com/in/drchristinesanchezphd/" target="_blank" rel="noreferrer noopener">https://www.linkedin.com/in/drchristinesanchezphd/</a></div>
<div> </div>
<div>Books mentioned in this episode:</div>
<div><a href="https://www.amazon.com/Burnout-audiobook/dp/B07M8DLR1L/ref=sr_1_1?crid=OGVJRDO46470&amp;dib=eyJ2IjoiMSJ9.wTw8fXvdbPVwOmH_0gmTktsHs9MJEc8kZCONDYVOtCZGPjjjMiKZixlgNn4mMgCPVeisn1K01EeADXPRwsXGhUEmpUjmzobFU9scRG8ZRXVhATgeLUXJ41Vfh44anBd5YSO-FLS6VaMyMIresOcD3QTIhbI1_3ZLBSBNHsA2pi-Tfe0y6iS9AK0ZKvpeT0incZUJtBX2tZoiumbs-fNKcOTntMmL_Cl_sAvhfBkkOMk.rfUAKT24SWiPefFMg8lo43lVujV1gVi7ghvklNEbAGk&amp;dib_tag=se&amp;keywords=burnout+book&amp;qid=1713991026&amp;sprefix=burnout+book%2Caps%2C136&amp;sr=8-1">Burnout by Nagoski and Nagoski</a></div>
<div><a href="https://www.amazon.com/Heart-Breath-Mind-Conquer-Achieve/dp/B08FF61D22/ref=sr_1_1?crid=YU51XO042ZHF&amp;dib=eyJ2IjoiMSJ9.xC9tpHJShNQCioyV1SnQ4KESo3NMhN6T8dRFtTwBQatN719IxhoEzBH_kBZkaUwUZFJXa1kBcc-84Zz2PEg-CYisIW3u2YBzIVUWxcc7GtkI5yNP8LQlov0Fkh4ioTxO2Nc2UElpMhEYueNewCXkj9Z1ixmIiy-pzad0Rq1KiWiqYIbITLlEupFmLvpB5xZ3S_k--ZMNYISU3fhualDEglUnijOImsviHTKJPEHS8nA.0cptpzBA7XkhxtBAXMhKKYp7En3T1Ur5qWt77kAHNpo&amp;dib_tag=se&amp;keywords=heart+breath+mind+by+dr.+leah+lagos&amp;qid=1713990717&amp;sprefix=heart+breath%2Caps%2C131&amp;sr=8-1">Heart, Breath, Mind by Lagos and Harcourt</a></div>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Christine Sanchez joins Matt and Inna to discuss her work providing mental skills training and executive coaching to high-level performers and teams.
Dr. Christine Sanchez specializes in providing mental skills training and executive coaching to high level performers and teams. Her diverse portfolio of clients includes elite military service members, first responders, executives, professional athletes, and other performers who desire to unlock their true potential. She is passionate about being an “aid to navigation” in assisting clients to return home to their authentic self and purpose.
Dr. Sanchez is best known for her work targeting mindful performance under pressure, productive failures, and well-being optimization. She routinely integrates Heart Rate Variability Biofeedback and capnography training for facilitating optimal performance in high stress scenarios. Restorative practices for deliberate recovery is a popular topic she works with clients on, integrating breathwork, nature based wisdom, mindfulness, meaningful social connection, and movement.
 Dr. Sanchez earned her PhD in Sport and Performance Psychology from Florida State University, and currently holds the following certifications: Board Certified in Biofeedback (BCB), Certified Mental Performance Consultant (CMPC), Certified Breathing Behavioral Analyst (CBBA), and ICF Associate Certified Coach (in progress). She resides in Virginia Beach, VA where she soaks up all the water time she can get paddling, surfing, and swimming.
drchristinesanchez@gmail.com
https://www.linkedin.com/in/drchristinesanchezphd/
 
Books mentioned in this episode:
Burnout by Nagoski and Nagoski
Heart, Breath, Mind by Lagos and Harcourt]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Christine Sanchez talks HRV Biofeedback for Optimal Performance (Replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Christine Sanchez joins Matt and Inna to discuss her work providing mental skills training and executive coaching to high-level performers and teams.</p>
<p style="font-weight:400;">Dr. Christine Sanchez specializes in providing mental skills training and executive coaching to high level performers and teams. Her diverse portfolio of clients includes elite military service members, first responders, executives, professional athletes, and other performers who desire to unlock their true potential. She is passionate about being an “aid to navigation” in assisting clients to return home to their authentic self and purpose.</p>
<p style="font-weight:400;">Dr. Sanchez is best known for her work targeting mindful performance under pressure, productive failures, and well-being optimization. She routinely integrates Heart Rate Variability Biofeedback and capnography training for facilitating optimal performance in high stress scenarios. Restorative practices for deliberate recovery is a popular topic she works with clients on, integrating breathwork, nature based wisdom, mindfulness, meaningful social connection, and movement.</p>
<p style="font-weight:400;"> Dr. Sanchez earned her PhD in Sport and Performance Psychology from Florida State University, and currently holds the following certifications: Board Certified in Biofeedback (BCB), Certified Mental Performance Consultant (CMPC), Certified Breathing Behavioral Analyst (CBBA), and ICF Associate Certified Coach (in progress). She resides in Virginia Beach, VA where she soaks up all the water time she can get paddling, surfing, and swimming.</p>
<div><a href="mailto:drchristinesanchez@gmail.com" target="_blank" rel="noreferrer noopener">drchristinesanchez@gmail.com</a></div>
<div><a href="https://www.linkedin.com/in/drchristinesanchezphd/" target="_blank" rel="noreferrer noopener">https://www.linkedin.com/in/drchristinesanchezphd/</a></div>
<div> </div>
<div>Books mentioned in this episode:</div>
<div><a href="https://www.amazon.com/Burnout-audiobook/dp/B07M8DLR1L/ref=sr_1_1?crid=OGVJRDO46470&amp;dib=eyJ2IjoiMSJ9.wTw8fXvdbPVwOmH_0gmTktsHs9MJEc8kZCONDYVOtCZGPjjjMiKZixlgNn4mMgCPVeisn1K01EeADXPRwsXGhUEmpUjmzobFU9scRG8ZRXVhATgeLUXJ41Vfh44anBd5YSO-FLS6VaMyMIresOcD3QTIhbI1_3ZLBSBNHsA2pi-Tfe0y6iS9AK0ZKvpeT0incZUJtBX2tZoiumbs-fNKcOTntMmL_Cl_sAvhfBkkOMk.rfUAKT24SWiPefFMg8lo43lVujV1gVi7ghvklNEbAGk&amp;dib_tag=se&amp;keywords=burnout+book&amp;qid=1713991026&amp;sprefix=burnout+book%2Caps%2C136&amp;sr=8-1">Burnout by Nagoski and Nagoski</a></div>
<div><a href="https://www.amazon.com/Heart-Breath-Mind-Conquer-Achieve/dp/B08FF61D22/ref=sr_1_1?crid=YU51XO042ZHF&amp;dib=eyJ2IjoiMSJ9.xC9tpHJShNQCioyV1SnQ4KESo3NMhN6T8dRFtTwBQatN719IxhoEzBH_kBZkaUwUZFJXa1kBcc-84Zz2PEg-CYisIW3u2YBzIVUWxcc7GtkI5yNP8LQlov0Fkh4ioTxO2Nc2UElpMhEYueNewCXkj9Z1ixmIiy-pzad0Rq1KiWiqYIbITLlEupFmLvpB5xZ3S_k--ZMNYISU3fhualDEglUnijOImsviHTKJPEHS8nA.0cptpzBA7XkhxtBAXMhKKYp7En3T1Ur5qWt77kAHNpo&amp;dib_tag=se&amp;keywords=heart+breath+mind+by+dr.+leah+lagos&amp;qid=1713990717&amp;sprefix=heart+breath%2Caps%2C131&amp;sr=8-1">Heart, Breath, Mind by Lagos and Harcourt</a></div>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2066851/c1e-7o19f9479puq558w-okmor9qwbwgv-gvcae1.mp3" length="52853147"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Christine Sanchez joins Matt and Inna to discuss her work providing mental skills training and executive coaching to high-level performers and teams.
Dr. Christine Sanchez specializes in providing mental skills training and executive coaching to high level performers and teams. Her diverse portfolio of clients includes elite military service members, first responders, executives, professional athletes, and other performers who desire to unlock their true potential. She is passionate about being an “aid to navigation” in assisting clients to return home to their authentic self and purpose.
Dr. Sanchez is best known for her work targeting mindful performance under pressure, productive failures, and well-being optimization. She routinely integrates Heart Rate Variability Biofeedback and capnography training for facilitating optimal performance in high stress scenarios. Restorative practices for deliberate recovery is a popular topic she works with clients on, integrating breathwork, nature based wisdom, mindfulness, meaningful social connection, and movement.
 Dr. Sanchez earned her PhD in Sport and Performance Psychology from Florida State University, and currently holds the following certifications: Board Certified in Biofeedback (BCB), Certified Mental Performance Consultant (CMPC), Certified Breathing Behavioral Analyst (CBBA), and ICF Associate Certified Coach (in progress). She resides in Virginia Beach, VA where she soaks up all the water time she can get paddling, surfing, and swimming.
drchristinesanchez@gmail.com
https://www.linkedin.com/in/drchristinesanchezphd/
 
Books mentioned in this episode:
Burnout by Nagoski and Nagoski
Heart, Breath, Mind by Lagos and Harcourt]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2066851/c1a-rqx3-gp38qvm3s009-mpjeo9.png"></itunes:image>
                                                                            <itunes:duration>00:53:34</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Stephanie White discusses the difference between Coherence and Resonance Frequency Breathing (Replay)]]>
                </title>
                <pubDate>Thu, 12 Jun 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2061809</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/stephanie-white-discusses-the-difference-between-coherence-and-resonance-frequency-breathing-replay</link>
                                <description>
                                            <![CDATA[<p>In this episode, Stephanie White nerds out with Matt about the differences between two popular heart rate variability biofeedback forms: coherence and resonance frequency breathing. </p>
<p style="font-weight:400;"><strong>Web</strong>:        <a href="http://www.measurableresilience.com/">www.measurableresilience.com</a></p>
<p><img src="https://mail.google.com/mail/u/1?ui=2&amp;ik=b5437c12a7&amp;attid=0.0.8&amp;permmsgid=msg-f:1804924564390270477&amp;th=190c615412dbd60d&amp;view=fimg&amp;fur=ip&amp;sz=s0-l75-ft&amp;attbid=ANGjdJ_4-j8DHQfEPYyI46WycbnLczEejVWGY3sNlTyr8xr2-gBhf1LxzK1Qwgwg_b8xATF3BjqdiBB6JPQ9oK_SvqmQZUxFJmUElM2_mJdgh5MS8KeePCk4F5LCzcI&amp;disp=emb" alt="1?ui=2&amp;ik=b5437c12a7&amp;attid=0.0.8&amp;permmsgid=msg-f:1804924564390270477&amp;th=190c615412dbd60d&amp;view=fimg&amp;fur=ip&amp;sz=s0-l75-ft&amp;attbid=ANGjdJ_4-j8DHQfEPYyI46WycbnLczEejVWGY3sNlTyr8xr2-gBhf1LxzK1Qwgwg_b8xATF3BjqdiBB6JPQ9oK_SvqmQZUxFJmUElM2_mJdgh5MS8KeePCk4F5LCzcI&amp;disp=emb" /></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Stephanie White nerds out with Matt about the differences between two popular heart rate variability biofeedback forms: coherence and resonance frequency breathing. 
Web:        www.measurableresilience.com
]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Stephanie White discusses the difference between Coherence and Resonance Frequency Breathing (Replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Stephanie White nerds out with Matt about the differences between two popular heart rate variability biofeedback forms: coherence and resonance frequency breathing. </p>
<p style="font-weight:400;"><strong>Web</strong>:        <a href="http://www.measurableresilience.com/">www.measurableresilience.com</a></p>
<p><img src="https://mail.google.com/mail/u/1?ui=2&amp;ik=b5437c12a7&amp;attid=0.0.8&amp;permmsgid=msg-f:1804924564390270477&amp;th=190c615412dbd60d&amp;view=fimg&amp;fur=ip&amp;sz=s0-l75-ft&amp;attbid=ANGjdJ_4-j8DHQfEPYyI46WycbnLczEejVWGY3sNlTyr8xr2-gBhf1LxzK1Qwgwg_b8xATF3BjqdiBB6JPQ9oK_SvqmQZUxFJmUElM2_mJdgh5MS8KeePCk4F5LCzcI&amp;disp=emb" alt="1?ui=2&amp;ik=b5437c12a7&amp;attid=0.0.8&amp;permmsgid=msg-f:1804924564390270477&amp;th=190c615412dbd60d&amp;view=fimg&amp;fur=ip&amp;sz=s0-l75-ft&amp;attbid=ANGjdJ_4-j8DHQfEPYyI46WycbnLczEejVWGY3sNlTyr8xr2-gBhf1LxzK1Qwgwg_b8xATF3BjqdiBB6JPQ9oK_SvqmQZUxFJmUElM2_mJdgh5MS8KeePCk4F5LCzcI&amp;disp=emb" /></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2061809/c1e-998qfdnqmvho9rvz-gp3nd094uogx-kkfaqa.mp3" length="52151135"
                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[In this episode, Stephanie White nerds out with Matt about the differences between two popular heart rate variability biofeedback forms: coherence and resonance frequency breathing. 
Web:        www.measurableresilience.com
]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2061809/c1a-rqx3-47kn9po1s1np-b3wuqu.png"></itunes:image>
                                                                            <itunes:duration>00:53:22</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Fred Shaffer talks HRV Frequency Domains (Replay)]]>
                </title>
                <pubDate>Thu, 05 Jun 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2045297</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-fred-shaffer-talks-hrv-frequency-domains-replay</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Fred Shaffer returns to discuss the frequency domains of heart rate variability and what they tell us about the health of our nervous system and bodies.</p>
<p>Fredric Shaffer, PhD, BCB-HRV is a biological psychologist and professor of Psychology and former Department Chair at Truman State University, where he has taught since 1975 and has served as Director of Truman’s Center for Applied Psychophysiology since 1977. In 2008, he received the Walker and Doris Allen Fellowship for Faculty Excellence. In 2013, he received the Truman State University Outstanding Research Mentor of the Year award. Dr. Shaffer was the principal co-editor of Evidence-Based Practice in Biofeedback and Neurofeedback (3rd ed.) and authored 12 of its chapters. He was a co-editor with Donald Moss of Foundations of Heart Rate Variability Biofeedback: A Book of Readings. He co-authored with Mark S. Schwartz a chapter on entering the field and assuring competence in Biofeedback: A Practitioner's Guide (4th ed.). He co-authored with Donald Moss, a chapter on biofeedback in the Textbook of Complementary and Alternative Medicine (2nd ed.). He co-authored with Rollin McCraty and Christopher Zerr, the Frontiers in Psychology review article "A healthy heart is not a metronome: An integrative review of the heart's anatomy and heart rate variability." He co-authored with Jack Ginsberg, the Frontiers in Public Health review article “An Overview of heart rate variability (HRV) metrics and norms.” He is a contributing editor for the journal Applied Psychophysiology and Biofeedback. His current research focuses on techniques to increase heart rate variability. Dr. Shaffer is a BCIA Senior Diplomate in Biofeedback. Dr. Shaffer is the Past-Chair of the Biofeedback Certification International Alliance (BCIA), director of its Biofeedback and HRV Biofeedback Task Forces, and member of its Neurofeedback Task Force, and Treasurer for the Association for Applied Psychophysiology and Biofeedback (AAPB).  https://www.truman.edu/faculty-staff/fshaffer/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Fred Shaffer returns to discuss the frequency domains of heart rate variability and what they tell us about the health of our nervous system and bodies.
Fredric Shaffer, PhD, BCB-HRV is a biological psychologist and professor of Psychology and former Department Chair at Truman State University, where he has taught since 1975 and has served as Director of Truman’s Center for Applied Psychophysiology since 1977. In 2008, he received the Walker and Doris Allen Fellowship for Faculty Excellence. In 2013, he received the Truman State University Outstanding Research Mentor of the Year award. Dr. Shaffer was the principal co-editor of Evidence-Based Practice in Biofeedback and Neurofeedback (3rd ed.) and authored 12 of its chapters. He was a co-editor with Donald Moss of Foundations of Heart Rate Variability Biofeedback: A Book of Readings. He co-authored with Mark S. Schwartz a chapter on entering the field and assuring competence in Biofeedback: A Practitioner's Guide (4th ed.). He co-authored with Donald Moss, a chapter on biofeedback in the Textbook of Complementary and Alternative Medicine (2nd ed.). He co-authored with Rollin McCraty and Christopher Zerr, the Frontiers in Psychology review article "A healthy heart is not a metronome: An integrative review of the heart's anatomy and heart rate variability." He co-authored with Jack Ginsberg, the Frontiers in Public Health review article “An Overview of heart rate variability (HRV) metrics and norms.” He is a contributing editor for the journal Applied Psychophysiology and Biofeedback. His current research focuses on techniques to increase heart rate variability. Dr. Shaffer is a BCIA Senior Diplomate in Biofeedback. Dr. Shaffer is the Past-Chair of the Biofeedback Certification International Alliance (BCIA), director of its Biofeedback and HRV Biofeedback Task Forces, and member of its Neurofeedback Task Force, and Treasurer for the Association for Applied Psychophysiology and Biofeedback (AAPB).  https://www.truman.edu/faculty-staff/fshaffer/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Fred Shaffer talks HRV Frequency Domains (Replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Fred Shaffer returns to discuss the frequency domains of heart rate variability and what they tell us about the health of our nervous system and bodies.</p>
<p>Fredric Shaffer, PhD, BCB-HRV is a biological psychologist and professor of Psychology and former Department Chair at Truman State University, where he has taught since 1975 and has served as Director of Truman’s Center for Applied Psychophysiology since 1977. In 2008, he received the Walker and Doris Allen Fellowship for Faculty Excellence. In 2013, he received the Truman State University Outstanding Research Mentor of the Year award. Dr. Shaffer was the principal co-editor of Evidence-Based Practice in Biofeedback and Neurofeedback (3rd ed.) and authored 12 of its chapters. He was a co-editor with Donald Moss of Foundations of Heart Rate Variability Biofeedback: A Book of Readings. He co-authored with Mark S. Schwartz a chapter on entering the field and assuring competence in Biofeedback: A Practitioner's Guide (4th ed.). He co-authored with Donald Moss, a chapter on biofeedback in the Textbook of Complementary and Alternative Medicine (2nd ed.). He co-authored with Rollin McCraty and Christopher Zerr, the Frontiers in Psychology review article "A healthy heart is not a metronome: An integrative review of the heart's anatomy and heart rate variability." He co-authored with Jack Ginsberg, the Frontiers in Public Health review article “An Overview of heart rate variability (HRV) metrics and norms.” He is a contributing editor for the journal Applied Psychophysiology and Biofeedback. His current research focuses on techniques to increase heart rate variability. Dr. Shaffer is a BCIA Senior Diplomate in Biofeedback. Dr. Shaffer is the Past-Chair of the Biofeedback Certification International Alliance (BCIA), director of its Biofeedback and HRV Biofeedback Task Forces, and member of its Neurofeedback Task Force, and Treasurer for the Association for Applied Psychophysiology and Biofeedback (AAPB).  https://www.truman.edu/faculty-staff/fshaffer/</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2045297/c1e-gmnzsmw8k5fxn5k8-6zo4gzj7b820-okr2iy.mp3" length="55286927"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Fred Shaffer returns to discuss the frequency domains of heart rate variability and what they tell us about the health of our nervous system and bodies.
Fredric Shaffer, PhD, BCB-HRV is a biological psychologist and professor of Psychology and former Department Chair at Truman State University, where he has taught since 1975 and has served as Director of Truman’s Center for Applied Psychophysiology since 1977. In 2008, he received the Walker and Doris Allen Fellowship for Faculty Excellence. In 2013, he received the Truman State University Outstanding Research Mentor of the Year award. Dr. Shaffer was the principal co-editor of Evidence-Based Practice in Biofeedback and Neurofeedback (3rd ed.) and authored 12 of its chapters. He was a co-editor with Donald Moss of Foundations of Heart Rate Variability Biofeedback: A Book of Readings. He co-authored with Mark S. Schwartz a chapter on entering the field and assuring competence in Biofeedback: A Practitioner's Guide (4th ed.). He co-authored with Donald Moss, a chapter on biofeedback in the Textbook of Complementary and Alternative Medicine (2nd ed.). He co-authored with Rollin McCraty and Christopher Zerr, the Frontiers in Psychology review article "A healthy heart is not a metronome: An integrative review of the heart's anatomy and heart rate variability." He co-authored with Jack Ginsberg, the Frontiers in Public Health review article “An Overview of heart rate variability (HRV) metrics and norms.” He is a contributing editor for the journal Applied Psychophysiology and Biofeedback. His current research focuses on techniques to increase heart rate variability. Dr. Shaffer is a BCIA Senior Diplomate in Biofeedback. Dr. Shaffer is the Past-Chair of the Biofeedback Certification International Alliance (BCIA), director of its Biofeedback and HRV Biofeedback Task Forces, and member of its Neurofeedback Task Force, and Treasurer for the Association for Applied Psychophysiology and Biofeedback (AAPB).  https://www.truman.edu/faculty-staff/fshaffer/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2045297/c1a-rqx3-pk457k65sq2x-mpb9ah.png"></itunes:image>
                                                                            <itunes:duration>00:56:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Fred Shaffer discusses Time-Domain HRV Measures (Replay)]]>
                </title>
                <pubDate>Thu, 29 May 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2045289</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-fred-shaffer-discusses-time-domain-hrv-measures-replay</link>
                                <description>
                                            <![CDATA[<p>HRV nerds rejoice! Dr. Fred Shaffer, a friend of the show, returns to geek out about HRV time-domain measures. Fred and Matt deeply dive into the nature of metrics and what they tell us about nervous system functioning.</p>
<p>Fredric Shaffer, PhD, BCB-HRV is a biological psychologist and professor of Psychology and former Department Chair at Truman State University, where he has taught since 1975 and has served as Director of Truman’s Center for Applied Psychophysiology since 1977. In 2008, he received the Walker and Doris Allen Fellowship for Faculty Excellence. In 2013, he received the Truman State University Outstanding Research Mentor of the Year award. Dr. Shaffer was the principal co-editor of Evidence-Based Practice in Biofeedback and Neurofeedback (3rd ed.) and authored 12 of its chapters. He was a co-editor with Donald Moss of Foundations of Heart Rate Variability Biofeedback: A Book of Readings. He co-authored with Mark S. Schwartz a chapter on entering the field and assuring competence in Biofeedback: A Practitioner's Guide (4th ed.). He co-authored with Donald Moss, a chapter on biofeedback in the Textbook of Complementary and Alternative Medicine (2nd ed.). He co-authored with Rollin McCraty and Christopher Zerr, the Frontiers in Psychology review article "A healthy heart is not a metronome: An integrative review of the heart's anatomy and heart rate variability." He co-authored with Jack Ginsberg, the Frontiers in Public Health review article “An Overview of heart rate variability (HRV) metrics and norms.” He is a contributing editor for the journal Applied Psychophysiology and Biofeedback. His current research focuses on techniques to increase heart rate variability. Dr. Shaffer is a BCIA Senior Diplomate in Biofeedback. Dr. Shaffer is the Past-Chair of the Biofeedback Certification International Alliance (BCIA), director of its Biofeedback and HRV Biofeedback Task Forces, and member of its Neurofeedback Task Force, and Treasurer for the Association for Applied Psychophysiology and Biofeedback (AAPB).  https://www.truman.edu/faculty-staff/fshaffer/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[HRV nerds rejoice! Dr. Fred Shaffer, a friend of the show, returns to geek out about HRV time-domain measures. Fred and Matt deeply dive into the nature of metrics and what they tell us about nervous system functioning.
Fredric Shaffer, PhD, BCB-HRV is a biological psychologist and professor of Psychology and former Department Chair at Truman State University, where he has taught since 1975 and has served as Director of Truman’s Center for Applied Psychophysiology since 1977. In 2008, he received the Walker and Doris Allen Fellowship for Faculty Excellence. In 2013, he received the Truman State University Outstanding Research Mentor of the Year award. Dr. Shaffer was the principal co-editor of Evidence-Based Practice in Biofeedback and Neurofeedback (3rd ed.) and authored 12 of its chapters. He was a co-editor with Donald Moss of Foundations of Heart Rate Variability Biofeedback: A Book of Readings. He co-authored with Mark S. Schwartz a chapter on entering the field and assuring competence in Biofeedback: A Practitioner's Guide (4th ed.). He co-authored with Donald Moss, a chapter on biofeedback in the Textbook of Complementary and Alternative Medicine (2nd ed.). He co-authored with Rollin McCraty and Christopher Zerr, the Frontiers in Psychology review article "A healthy heart is not a metronome: An integrative review of the heart's anatomy and heart rate variability." He co-authored with Jack Ginsberg, the Frontiers in Public Health review article “An Overview of heart rate variability (HRV) metrics and norms.” He is a contributing editor for the journal Applied Psychophysiology and Biofeedback. His current research focuses on techniques to increase heart rate variability. Dr. Shaffer is a BCIA Senior Diplomate in Biofeedback. Dr. Shaffer is the Past-Chair of the Biofeedback Certification International Alliance (BCIA), director of its Biofeedback and HRV Biofeedback Task Forces, and member of its Neurofeedback Task Force, and Treasurer for the Association for Applied Psychophysiology and Biofeedback (AAPB).  https://www.truman.edu/faculty-staff/fshaffer/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Fred Shaffer discusses Time-Domain HRV Measures (Replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>HRV nerds rejoice! Dr. Fred Shaffer, a friend of the show, returns to geek out about HRV time-domain measures. Fred and Matt deeply dive into the nature of metrics and what they tell us about nervous system functioning.</p>
<p>Fredric Shaffer, PhD, BCB-HRV is a biological psychologist and professor of Psychology and former Department Chair at Truman State University, where he has taught since 1975 and has served as Director of Truman’s Center for Applied Psychophysiology since 1977. In 2008, he received the Walker and Doris Allen Fellowship for Faculty Excellence. In 2013, he received the Truman State University Outstanding Research Mentor of the Year award. Dr. Shaffer was the principal co-editor of Evidence-Based Practice in Biofeedback and Neurofeedback (3rd ed.) and authored 12 of its chapters. He was a co-editor with Donald Moss of Foundations of Heart Rate Variability Biofeedback: A Book of Readings. He co-authored with Mark S. Schwartz a chapter on entering the field and assuring competence in Biofeedback: A Practitioner's Guide (4th ed.). He co-authored with Donald Moss, a chapter on biofeedback in the Textbook of Complementary and Alternative Medicine (2nd ed.). He co-authored with Rollin McCraty and Christopher Zerr, the Frontiers in Psychology review article "A healthy heart is not a metronome: An integrative review of the heart's anatomy and heart rate variability." He co-authored with Jack Ginsberg, the Frontiers in Public Health review article “An Overview of heart rate variability (HRV) metrics and norms.” He is a contributing editor for the journal Applied Psychophysiology and Biofeedback. His current research focuses on techniques to increase heart rate variability. Dr. Shaffer is a BCIA Senior Diplomate in Biofeedback. Dr. Shaffer is the Past-Chair of the Biofeedback Certification International Alliance (BCIA), director of its Biofeedback and HRV Biofeedback Task Forces, and member of its Neurofeedback Task Force, and Treasurer for the Association for Applied Psychophysiology and Biofeedback (AAPB).  https://www.truman.edu/faculty-staff/fshaffer/</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2045289/c1e-nq2ztd1nj2udjkj7-9jrp8w6dunz5-qcptg5.mp3" length="67489247"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[HRV nerds rejoice! Dr. Fred Shaffer, a friend of the show, returns to geek out about HRV time-domain measures. Fred and Matt deeply dive into the nature of metrics and what they tell us about nervous system functioning.
Fredric Shaffer, PhD, BCB-HRV is a biological psychologist and professor of Psychology and former Department Chair at Truman State University, where he has taught since 1975 and has served as Director of Truman’s Center for Applied Psychophysiology since 1977. In 2008, he received the Walker and Doris Allen Fellowship for Faculty Excellence. In 2013, he received the Truman State University Outstanding Research Mentor of the Year award. Dr. Shaffer was the principal co-editor of Evidence-Based Practice in Biofeedback and Neurofeedback (3rd ed.) and authored 12 of its chapters. He was a co-editor with Donald Moss of Foundations of Heart Rate Variability Biofeedback: A Book of Readings. He co-authored with Mark S. Schwartz a chapter on entering the field and assuring competence in Biofeedback: A Practitioner's Guide (4th ed.). He co-authored with Donald Moss, a chapter on biofeedback in the Textbook of Complementary and Alternative Medicine (2nd ed.). He co-authored with Rollin McCraty and Christopher Zerr, the Frontiers in Psychology review article "A healthy heart is not a metronome: An integrative review of the heart's anatomy and heart rate variability." He co-authored with Jack Ginsberg, the Frontiers in Public Health review article “An Overview of heart rate variability (HRV) metrics and norms.” He is a contributing editor for the journal Applied Psychophysiology and Biofeedback. His current research focuses on techniques to increase heart rate variability. Dr. Shaffer is a BCIA Senior Diplomate in Biofeedback. Dr. Shaffer is the Past-Chair of the Biofeedback Certification International Alliance (BCIA), director of its Biofeedback and HRV Biofeedback Task Forces, and member of its Neurofeedback Task Force, and Treasurer for the Association for Applied Psychophysiology and Biofeedback (AAPB).  https://www.truman.edu/faculty-staff/fshaffer/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2045289/c1a-rqx3-gp30n5rqbpod-tgca6j.png"></itunes:image>
                                                                            <itunes:duration>01:07:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Matt talks Liver, Testicles, and Dangers of the Influencer Culture]]>
                </title>
                <pubDate>Thu, 22 May 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2043499</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/matt-talks-liver-testicles-and-dangers-of-the-influencer-culture</link>
                                <description>
                                            <![CDATA[<p>Matt Bennett shares his thoughts on the recent Netflix documentary Untold: The Liver King in this current event episode. This cautionary story warns about influencer culture and how we talk about and promote valid practices like HRV biofeedback. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Matt Bennett shares his thoughts on the recent Netflix documentary Untold: The Liver King in this current event episode. This cautionary story warns about influencer culture and how we talk about and promote valid practices like HRV biofeedback. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Matt talks Liver, Testicles, and Dangers of the Influencer Culture]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Matt Bennett shares his thoughts on the recent Netflix documentary Untold: The Liver King in this current event episode. This cautionary story warns about influencer culture and how we talk about and promote valid practices like HRV biofeedback. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2043499/c1e-k8z9sgx5k5u2kk3d-6zo7pr76s7m9-lmgzqf.mp3" length="22921079"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Matt Bennett shares his thoughts on the recent Netflix documentary Untold: The Liver King in this current event episode. This cautionary story warns about influencer culture and how we talk about and promote valid practices like HRV biofeedback. ]]>
                </itunes:summary>
                                                                            <itunes:duration>00:27:26</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Deborah Borne talk HRV and Addiction]]>
                </title>
                <pubDate>Thu, 15 May 2025 06:01:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2038903</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-deborah-borne-talk-hrv-and-addiction</link>
                                <description>
                                            <![CDATA[<p>Deb Borne joins Matt to discuss how she is integrating HRV into her work in addiction and medicine </p>
<p>Deb obtained her master’s degree in social work at Columbia University and her medical training at Brown University and UCSF. As both a social worker and a physician, she has worked with highly marginalized communities, including homeless persons, drug users, psychiatric patients, and incarcerated and recently released individuals. Deb is very interested in how research can inform and assist with community-based clinical work. HIV prevention is one of her personal and professional passions.</p>
<p>https://cfar.ucsf.edu/people/deborah-borne</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Deb Borne joins Matt to discuss how she is integrating HRV into her work in addiction and medicine 
Deb obtained her master’s degree in social work at Columbia University and her medical training at Brown University and UCSF. As both a social worker and a physician, she has worked with highly marginalized communities, including homeless persons, drug users, psychiatric patients, and incarcerated and recently released individuals. Deb is very interested in how research can inform and assist with community-based clinical work. HIV prevention is one of her personal and professional passions.
https://cfar.ucsf.edu/people/deborah-borne]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Deborah Borne talk HRV and Addiction]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Deb Borne joins Matt to discuss how she is integrating HRV into her work in addiction and medicine </p>
<p>Deb obtained her master’s degree in social work at Columbia University and her medical training at Brown University and UCSF. As both a social worker and a physician, she has worked with highly marginalized communities, including homeless persons, drug users, psychiatric patients, and incarcerated and recently released individuals. Deb is very interested in how research can inform and assist with community-based clinical work. HIV prevention is one of her personal and professional passions.</p>
<p>https://cfar.ucsf.edu/people/deborah-borne</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2038903/c1e-oq5zt20p3jaj7dw1-z323xpv1td8p-ivkd1s.mp3" length="53596295"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Deb Borne joins Matt to discuss how she is integrating HRV into her work in addiction and medicine 
Deb obtained her master’s degree in social work at Columbia University and her medical training at Brown University and UCSF. As both a social worker and a physician, she has worked with highly marginalized communities, including homeless persons, drug users, psychiatric patients, and incarcerated and recently released individuals. Deb is very interested in how research can inform and assist with community-based clinical work. HIV prevention is one of her personal and professional passions.
https://cfar.ucsf.edu/people/deborah-borne]]>
                </itunes:summary>
                                                                            <itunes:duration>00:48:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Matt Bennett talks Motivation for HRV Biofeedback Success!]]>
                </title>
                <pubDate>Thu, 08 May 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2026285</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/matt-bennett-talks-motivation-for-hrv-biofeedback-success</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett uses his expertise in motivation to help people start a successful and lasting HRV biofeedback practice habit. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett uses his expertise in motivation to help people start a successful and lasting HRV biofeedback practice habit. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Matt Bennett talks Motivation for HRV Biofeedback Success!]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett uses his expertise in motivation to help people start a successful and lasting HRV biofeedback practice habit. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2026285/c1e-6xg3foz343u50dp8-gp3d54o6fwqz-1wkulc.mp3" length="24402191"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett uses his expertise in motivation to help people start a successful and lasting HRV biofeedback practice habit. ]]>
                </itunes:summary>
                                                                            <itunes:duration>00:29:46</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Inna Khazan talk about her Personal Journey and Practice with Heart Rate Variability]]>
                </title>
                <pubDate>Thu, 01 May 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2018793</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-inna-khazan-talk-about-her-personal-journey-and-practice-with-heart-rate-variability</link>
                                <description>
                                            <![CDATA[<p>Dr. Inna Khazan talk about her Personal Journey and Practice with Heart Rate Variability</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dr. Inna Khazan talk about her Personal Journey and Practice with Heart Rate Variability]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Inna Khazan talk about her Personal Journey and Practice with Heart Rate Variability]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dr. Inna Khazan talk about her Personal Journey and Practice with Heart Rate Variability</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2018793/c1e-gmnzsmx4k7txzjm8-rk43v5znhwrk-eeobea.mp3" length="37719407"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Dr. Inna Khazan talk about her Personal Journey and Practice with Heart Rate Variability]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2018793/c1a-rqx3-xxo4q5wrs8z0-vsln2u.png"></itunes:image>
                                                                            <itunes:duration>00:36:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Steven Paliakas talk about his Personal Wellness Journey and HRV]]>
                </title>
                <pubDate>Thu, 24 Apr 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2011381</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-steven-paliakas-talk-about-his-personal-wellness-journey-and-hrv</link>
                                <description>
                                            <![CDATA[<p>In this episode, Steven Paliakas joins Matt Bennett to discuss how his training and life experience with chiroprotic therapy, acupuncture, dry needling, and red light therapy inform his thinking and practice about his own health. We explore the role heart rate variability and HRV biofeedback played in his journey.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Steven Paliakas joins Matt Bennett to discuss how his training and life experience with chiroprotic therapy, acupuncture, dry needling, and red light therapy inform his thinking and practice about his own health. We explore the role heart rate variability and HRV biofeedback played in his journey.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Steven Paliakas talk about his Personal Wellness Journey and HRV]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Steven Paliakas joins Matt Bennett to discuss how his training and life experience with chiroprotic therapy, acupuncture, dry needling, and red light therapy inform his thinking and practice about his own health. We explore the role heart rate variability and HRV biofeedback played in his journey.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2011381/c1e-rqx3twxk87ag89x1-25nkp40osj65-znbytv.mp3" length="37641719"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Steven Paliakas joins Matt Bennett to discuss how his training and life experience with chiroprotic therapy, acupuncture, dry needling, and red light therapy inform his thinking and practice about his own health. We explore the role heart rate variability and HRV biofeedback played in his journey.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2011381/c1a-rqx3-25nkp405u882-miaqmc.png"></itunes:image>
                                                                            <itunes:duration>00:34:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Janell Mensinger talks Interoception, Disordered Eating, and HRV]]>
                </title>
                <pubDate>Thu, 17 Apr 2025 06:03:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2010223</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-janelle-mensinger-talks-interoception-disordered-eating-and-hrv</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Janell Mensigner joins Matt Bennett to discuss her recent research on eating pathology and interoceptive sensibility. We discuss the role of heart rate variability and HRV Biofeedback on interception and disordered eating.</p>
<p>Read Janell's paper: https://www.tandfonline.com/doi/full/10.1080/00223891.2024.2445706#abstract</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Janell Mensigner joins Matt Bennett to discuss her recent research on eating pathology and interoceptive sensibility. We discuss the role of heart rate variability and HRV Biofeedback on interception and disordered eating.
Read Janell's paper: https://www.tandfonline.com/doi/full/10.1080/00223891.2024.2445706#abstract]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Janell Mensinger talks Interoception, Disordered Eating, and HRV]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Janell Mensigner joins Matt Bennett to discuss her recent research on eating pathology and interoceptive sensibility. We discuss the role of heart rate variability and HRV Biofeedback on interception and disordered eating.</p>
<p>Read Janell's paper: https://www.tandfonline.com/doi/full/10.1080/00223891.2024.2445706#abstract</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2010223/c1e-2wr4im9woqsm845k-25nk43kvsj59-wahwsv.mp3" length="50419367"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Janell Mensigner joins Matt Bennett to discuss her recent research on eating pathology and interoceptive sensibility. We discuss the role of heart rate variability and HRV Biofeedback on interception and disordered eating.
Read Janell's paper: https://www.tandfonline.com/doi/full/10.1080/00223891.2024.2445706#abstract]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2010223/c1a-rqx3-z329kw9ra91-ox4ifo.png"></itunes:image>
                                                                            <itunes:duration>00:49:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Seth Rose talks HRV, Performance Under Stress, and Recovery]]>
                </title>
                <pubDate>Thu, 10 Apr 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2005234</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-seth-rose-talks-hrv-performance-under-stress-and-recovery</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Seth Rose joins Matt Bennett to discuss his work with athletes and the military. We discuss his use of HRV and HRV biofeedback to support cognitive, mental, and physical health and what he has learned from those working to excel in stressful circumstances. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Seth Rose joins Matt Bennett to discuss his work with athletes and the military. We discuss his use of HRV and HRV biofeedback to support cognitive, mental, and physical health and what he has learned from those working to excel in stressful circumstances. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Seth Rose talks HRV, Performance Under Stress, and Recovery]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Seth Rose joins Matt Bennett to discuss his work with athletes and the military. We discuss his use of HRV and HRV biofeedback to support cognitive, mental, and physical health and what he has learned from those working to excel in stressful circumstances. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2005234/c1e-vqr4t7jj5xh4d2v7-47dvkw93h4wo-hi1roy.mp3" length="59961239"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Seth Rose joins Matt Bennett to discuss his work with athletes and the military. We discuss his use of HRV and HRV biofeedback to support cognitive, mental, and physical health and what he has learned from those working to excel in stressful circumstances. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2005234/c1a-rqx3-8dw6r30pig7d-kge4qu.png"></itunes:image>
                                                                            <itunes:duration>00:53:08</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Matt talks HRV, Social Media Influencers, and Biohacking]]>
                </title>
                <pubDate>Thu, 03 Apr 2025 06:06:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1981949</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/matt-talks-hrv-social-media-influencers-and-biohacking</link>
                                <description>
                                            <![CDATA[<p>Inspired by the recent documentaries <em>Don't Die</em> and <em>Instagram's Worst Con Artist,</em> Matt Bennett explores the intersection between HRV, influencers, and biohacking and how sometimes this world combines for good but holds potential dangers.  </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Inspired by the recent documentaries Don't Die and Instagram's Worst Con Artist, Matt Bennett explores the intersection between HRV, influencers, and biohacking and how sometimes this world combines for good but holds potential dangers.  ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Matt talks HRV, Social Media Influencers, and Biohacking]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Inspired by the recent documentaries <em>Don't Die</em> and <em>Instagram's Worst Con Artist,</em> Matt Bennett explores the intersection between HRV, influencers, and biohacking and how sometimes this world combines for good but holds potential dangers.  </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1981949/c1e-2wr4i8ok38s6xzvk-jp2zj9roug17-4unyvz.mp3" length="38216255"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Inspired by the recent documentaries Don't Die and Instagram's Worst Con Artist, Matt Bennett explores the intersection between HRV, influencers, and biohacking and how sometimes this world combines for good but holds potential dangers.  ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1981949/c1a-rqx3-qdwq4z82bkzn-9vdjoc.png"></itunes:image>
                                                                            <itunes:duration>00:40:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Amelia Saul talks about the HRV Institute and Recreational Therapy]]>
                </title>
                <pubDate>Thu, 27 Mar 2025 17:22:10 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/2001120</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-amelia-saul-talks-about-the-hrv-institute-and-recreational-therapy</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Amelia Saul joins Matt Bennett to discuss her HRV research and how HRV informs her thinking about health. We also discuss both Amelia's and Matt's excitement and involvement in The Heart Rate Variability Institute and its upcoming conference <a class="c-link" href="https://heartratevariabilityinstitute.org/hrv-conference" target="_blank" rel="noreferrer noopener">https://heartratevariabilityinstitute.org/hrv-conference</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Amelia Saul joins Matt Bennett to discuss her HRV research and how HRV informs her thinking about health. We also discuss both Amelia's and Matt's excitement and involvement in The Heart Rate Variability Institute and its upcoming conference https://heartratevariabilityinstitute.org/hrv-conference]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Amelia Saul talks about the HRV Institute and Recreational Therapy]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Amelia Saul joins Matt Bennett to discuss her HRV research and how HRV informs her thinking about health. We also discuss both Amelia's and Matt's excitement and involvement in The Heart Rate Variability Institute and its upcoming conference <a class="c-link" href="https://heartratevariabilityinstitute.org/hrv-conference" target="_blank" rel="noreferrer noopener">https://heartratevariabilityinstitute.org/hrv-conference</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/2001120/c1e-zqgkt7w68waqd9dv-pkg1z45zho1d-xbiskx.mp3" length="37361999"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Amelia Saul joins Matt Bennett to discuss her HRV research and how HRV informs her thinking about health. We also discuss both Amelia's and Matt's excitement and involvement in The Heart Rate Variability Institute and its upcoming conference https://heartratevariabilityinstitute.org/hrv-conference]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/2001120/c1a-rqx3-ndomgn5miz9p-lx6ffi.png"></itunes:image>
                                                                            <itunes:duration>00:36:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Steven Kassel talks Heart Rate Variability, Couples Therapy, and Biofeedback]]>
                </title>
                <pubDate>Thu, 20 Mar 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1976565</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/steven-kassel-talks-heart-rate-variability-couples-therapy-and-biofeedback</link>
                                <description>
                                            <![CDATA[<p>In this episode, Steven Kassel joins Matt Bennett to discuss his career as a marriage and family counselor and how he positions HRV biofeedback to help his clients. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Steven Kassel joins Matt Bennett to discuss his career as a marriage and family counselor and how he positions HRV biofeedback to help his clients. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Steven Kassel talks Heart Rate Variability, Couples Therapy, and Biofeedback]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Steven Kassel joins Matt Bennett to discuss his career as a marriage and family counselor and how he positions HRV biofeedback to help his clients. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1976565/c1e-1w95ijxr8pa4wk75-47dpm97vumv5-xq9lzg.mp3" length="44370071"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Steven Kassel joins Matt Bennett to discuss his career as a marriage and family counselor and how he positions HRV biofeedback to help his clients. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1976565/c1a-rqx3-mkx2wqo0i89w-paryt7.png"></itunes:image>
                                                                            <itunes:duration>00:42:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Inna Khazan talk Child Resonance Frequency Assessment and HRV Training]]>
                </title>
                <pubDate>Thu, 13 Mar 2025 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1985078</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-inna-khazan-talk-child-resonance-frequency-assessment-and-hrv-training</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett interviews Dr. Inna Khazan about assessing resonance frequency in children. We also explore why children need a separate assessment and how to support young people with heart rate variability biofeedback. </p>
<p>Learn more about Optimal HRV <a href="https://www.optimalhrv.com">https://www.optimalhrv.com </a></p>
<p>Learn more about Inna Khazan <a href="https://www.innakhazan.com/">https://www.innakhazan.com/</a></p>
<p> </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett interviews Dr. Inna Khazan about assessing resonance frequency in children. We also explore why children need a separate assessment and how to support young people with heart rate variability biofeedback. 
Learn more about Optimal HRV https://www.optimalhrv.com 
Learn more about Inna Khazan https://www.innakhazan.com/
 ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Inna Khazan talk Child Resonance Frequency Assessment and HRV Training]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett interviews Dr. Inna Khazan about assessing resonance frequency in children. We also explore why children need a separate assessment and how to support young people with heart rate variability biofeedback. </p>
<p>Learn more about Optimal HRV <a href="https://www.optimalhrv.com">https://www.optimalhrv.com </a></p>
<p>Learn more about Inna Khazan <a href="https://www.innakhazan.com/">https://www.innakhazan.com/</a></p>
<p> </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1985078/c1e-7o19f4dkvkaq3n21-jp26z3gntmj5-vuxyod.mp3" length="33222647"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett interviews Dr. Inna Khazan about assessing resonance frequency in children. We also explore why children need a separate assessment and how to support young people with heart rate variability biofeedback. 
Learn more about Optimal HRV https://www.optimalhrv.com 
Learn more about Inna Khazan https://www.innakhazan.com/
 ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1985078/c1a-rqx3-9jnx9qpmc395-xnugns.png"></itunes:image>
                                                                            <itunes:duration>00:32:00</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Scotty Butcher's Personal HRV Journey]]>
                </title>
                <pubDate>Thu, 06 Mar 2025 07:04:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1982593</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-scotty-butchers-personal-hrv-journey</link>
                                <description>
                                            <![CDATA[<p>In this episode, Matt Bennett welcomes Scotty Butcher back to discuss how he integrates his expertise in Heart Rate variability and HRV Biofeedback into his approach to physical and mental well-being. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Matt Bennett welcomes Scotty Butcher back to discuss how he integrates his expertise in Heart Rate variability and HRV Biofeedback into his approach to physical and mental well-being. ]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[Dr. Scotty Butcher's Personal HRV Journey]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Matt Bennett welcomes Scotty Butcher back to discuss how he integrates his expertise in Heart Rate variability and HRV Biofeedback into his approach to physical and mental well-being. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1982593/c1e-oq5ztv6mrwbjv761-6z1x87vqs1zz-w83bn6.mp3" length="47426111"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Matt Bennett welcomes Scotty Butcher back to discuss how he integrates his expertise in Heart Rate variability and HRV Biofeedback into his approach to physical and mental well-being. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1982593/c1a-rqx3-v62qv3kwijr8-jcr6hv.png"></itunes:image>
                                                                            <itunes:duration>00:44:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Jay T. Wiles talks Sleep and Heart Rate Variability]]>
                </title>
                <pubDate>Thu, 27 Feb 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1952329</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-jay-t-wiles-talks-sleep-and-heart-rate-variability</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Jay T. Wiles joins Matt Bennett to discuss Jay's heart rate variability and HRV biofeedback journey. We also explore Jay's current work with HRV biofeedback and sleep. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Jay T. Wiles joins Matt Bennett to discuss Jay's heart rate variability and HRV biofeedback journey. We also explore Jay's current work with HRV biofeedback and sleep. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Jay T. Wiles talks Sleep and Heart Rate Variability]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Jay T. Wiles joins Matt Bennett to discuss Jay's heart rate variability and HRV biofeedback journey. We also explore Jay's current work with HRV biofeedback and sleep. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1952329/c1e-x6n4amnm4rfro4zg-0v591gnof8w8-dtbblu.mp3" length="55146118"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Jay T. Wiles joins Matt Bennett to discuss Jay's heart rate variability and HRV biofeedback journey. We also explore Jay's current work with HRV biofeedback and sleep. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1952329/c1a-rqx3-kpwj3r0zi2n-vzulfh.png"></itunes:image>
                                                                            <itunes:duration>00:54:02</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[From HRV Science to Personal Practice: Dr. Richard Gevirtz]]>
                </title>
                <pubDate>Thu, 20 Feb 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1952340</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/from-hrv-science-to-personal-practice-dr-richard-gevirtz</link>
                                <description>
                                            <![CDATA[<p>In our first episode exploring how people integrate the science of HRV into their personal lives, Matt Bennett interviews Dr. Richard Gevirtz. We explore various topics, including integrating HRV biofeedback and trigger point release and how Dr. Gevirtz integrates HRV science into his personal approach to health and wellness. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In our first episode exploring how people integrate the science of HRV into their personal lives, Matt Bennett interviews Dr. Richard Gevirtz. We explore various topics, including integrating HRV biofeedback and trigger point release and how Dr. Gevirtz integrates HRV science into his personal approach to health and wellness. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[From HRV Science to Personal Practice: Dr. Richard Gevirtz]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In our first episode exploring how people integrate the science of HRV into their personal lives, Matt Bennett interviews Dr. Richard Gevirtz. We explore various topics, including integrating HRV biofeedback and trigger point release and how Dr. Gevirtz integrates HRV science into his personal approach to health and wellness. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1952340/c1e-qqkot202xji7k0jd-ww675zvqfz0p-8yc1h5.mp3" length="34760926"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In our first episode exploring how people integrate the science of HRV into their personal lives, Matt Bennett interviews Dr. Richard Gevirtz. We explore various topics, including integrating HRV biofeedback and trigger point release and how Dr. Gevirtz integrates HRV science into his personal approach to health and wellness. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1952340/c1a-rqx3-ndo15w96t36-eexhua.png"></itunes:image>
                                                                            <itunes:duration>00:34:20</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Jennifer Chan talks Heart Rate Fragmentation]]>
                </title>
                <pubDate>Thu, 13 Feb 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1913010</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-jennifer-chan-talks-heart-rate-fragmentation</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Jennifer Chan joins Matt Bennett to discuss her research into heart rate fragmentation and how it relates to and might supplement heart rate variability. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Jennifer Chan joins Matt Bennett to discuss her research into heart rate fragmentation and how it relates to and might supplement heart rate variability. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Jennifer Chan talks Heart Rate Fragmentation]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Jennifer Chan joins Matt Bennett to discuss her research into heart rate fragmentation and how it relates to and might supplement heart rate variability. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1913010/c1e-3w07i5o2johm663o-nd46pv31bxqd-vubfel.mp3" length="53497887"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Jennifer Chan joins Matt Bennett to discuss her research into heart rate fragmentation and how it relates to and might supplement heart rate variability. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1913010/c1a-rqx3-kpd6mnkoazqm-b56xk8.png"></itunes:image>
                                                                            <itunes:duration>00:56:01</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Raouf Gharbo talks Autonomic Rehab and Heart Rate Variability]]>
                </title>
                <pubDate>Thu, 06 Feb 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1923312</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-raouf-gharbo-talks-autonomic-rehab-and-heart-rate-variability</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Raouf Gharbo joins Matt Bennett to discuss his work with HRV tracking and biofeedback over two decades. We cover a range of topics, from free will to performance obsession to HRV poetry! </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Raouf Gharbo joins Matt Bennett to discuss his work with HRV tracking and biofeedback over two decades. We cover a range of topics, from free will to performance obsession to HRV poetry! ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Raouf Gharbo talks Autonomic Rehab and Heart Rate Variability]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Raouf Gharbo joins Matt Bennett to discuss his work with HRV tracking and biofeedback over two decades. We cover a range of topics, from free will to performance obsession to HRV poetry! </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1923312/c1e-qqkot2qpzoi745gd-ok313xxrcmm2-2nxw1l.mp3" length="48711838"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Raouf Gharbo joins Matt Bennett to discuss his work with HRV tracking and biofeedback over two decades. We cover a range of topics, from free will to performance obsession to HRV poetry! ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1923312/c1a-rqx3-mk1m1558h7qk-joplnn.png"></itunes:image>
                                                                            <itunes:duration>00:46:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Noël Larson Ford talks HRV, Neurofeedback, and Performance]]>
                </title>
                <pubDate>Thu, 23 Jan 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1922790</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/noel-larson-ford-talks-hrv-neurofeedback-and-performance</link>
                                <description>
                                            <![CDATA[<p>In this episode, Noël Larson Ford joins Matt Bennett to discuss her work with HRV biofeedback, neurofeedback, and high performance. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Noël Larson Ford joins Matt Bennett to discuss her work with HRV biofeedback, neurofeedback, and high performance. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Noël Larson Ford talks HRV, Neurofeedback, and Performance]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Noël Larson Ford joins Matt Bennett to discuss her work with HRV biofeedback, neurofeedback, and high performance. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1922790/c1e-mpvjfno0zquxdnq0-kpdg0wv1srqz-in3jpa.mp3" length="40789150"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Noël Larson Ford joins Matt Bennett to discuss her work with HRV biofeedback, neurofeedback, and high performance. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1922790/c1a-rqx3-xx8q89jxi6vn-llw9e3.png"></itunes:image>
                                                                            <itunes:duration>00:40:45</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Louise van der Westhuyzen talks Occupation Therapy and HRV Biofeedback]]>
                </title>
                <pubDate>Thu, 16 Jan 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1898479</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/louise-van-der-westhuyzen-talks-occupation-therapy-and-hrv-biofeedback</link>
                                <description>
                                            <![CDATA[<p>Louis van der Westhuyzen joins Matt Bennett to discuss her work and integration of occupational therapy and biofeedback.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Louis van der Westhuyzen joins Matt Bennett to discuss her work and integration of occupational therapy and biofeedback.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Louise van der Westhuyzen talks Occupation Therapy and HRV Biofeedback]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Louis van der Westhuyzen joins Matt Bennett to discuss her work and integration of occupational therapy and biofeedback.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1898479/c1e-mpvjfn24r4txoxzk-34gqqxpda5gd-dh4twm.mp3" length="28316299"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Louis van der Westhuyzen joins Matt Bennett to discuss her work and integration of occupational therapy and biofeedback.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1898479/c1a-rqx3-xx855724tmnn-x4pgca.png"></itunes:image>
                                                                            <itunes:duration>00:29:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Heidi Hillman talk Heart Rate Variability Biofeedback and Autism]]>
                </title>
                <pubDate>Thu, 09 Jan 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1867669</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-heidi-hillman-talk-heart-rate-variability-biofeedback-and-autism</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Heidi Hillman joins Matt Bennett to discuss her work with autistics and recent publication on using heart rate variability biofeedback for reducing anxiety among autistic teens. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Heidi Hillman joins Matt Bennett to discuss her work with autistics and recent publication on using heart rate variability biofeedback for reducing anxiety among autistic teens. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Heidi Hillman talk Heart Rate Variability Biofeedback and Autism]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Heidi Hillman joins Matt Bennett to discuss her work with autistics and recent publication on using heart rate variability biofeedback for reducing anxiety among autistic teens. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1867669/c1e-jz13fqr0j6ap5n31-nd41wr5qbq57-is6l0o.mp3" length="38068024"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Heidi Hillman joins Matt Bennett to discuss her work with autistics and recent publication on using heart rate variability biofeedback for reducing anxiety among autistic teens. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1867669/c1a-rqx3-9j0w5gpxh5z0-6kfq1m.png"></itunes:image>
                                                                            <itunes:duration>00:40:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Jenae Spencer and Dr. Scotty Butcher discuss integrating HRV into Coaching and Therapy]]>
                </title>
                <pubDate>Thu, 02 Jan 2025 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1924207</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-jenae-spencer-and-dr-scotty-butcher-discuss-integrating-hrv-into-coaching-and-therapy</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Jenae Spencer and Dr. Scotty Butcher discuss how they integrate heart rate variability tracking and biofeedback into their coaching and therapy services. At Optimal HRV, we are proud to partner with Jenae and Scotty to provide coaching utilizing the Optimal HRV app. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Jenae Spencer and Dr. Scotty Butcher discuss how they integrate heart rate variability tracking and biofeedback into their coaching and therapy services. At Optimal HRV, we are proud to partner with Jenae and Scotty to provide coaching utilizing the Optimal HRV app. ]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[Dr. Jenae Spencer and Dr. Scotty Butcher discuss integrating HRV into Coaching and Therapy]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Jenae Spencer and Dr. Scotty Butcher discuss how they integrate heart rate variability tracking and biofeedback into their coaching and therapy services. At Optimal HRV, we are proud to partner with Jenae and Scotty to provide coaching utilizing the Optimal HRV app. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1924207/c1e-rqx3tj6zvobg80po-wwmdwm6kad9-jj4xz3.mp3" length="29627830"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Jenae Spencer and Dr. Scotty Butcher discuss how they integrate heart rate variability tracking and biofeedback into their coaching and therapy services. At Optimal HRV, we are proud to partner with Jenae and Scotty to provide coaching utilizing the Optimal HRV app. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1924207/c1a-rqx3-dm5wm54qi45w-clwtqg.png"></itunes:image>
                                                                            <itunes:duration>00:28:33</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Yori Gidron talks about the Vagus Nerve & HRV (Replay)]]>
                </title>
                <pubDate>Thu, 26 Dec 2024 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1839491</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-yori-gidron-talks-about-the-vagus-nerve-hrv-replay</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Yori Gidron joins Inna Khazan and Matt Bennett to discuss his work with heart rate variability and the vagus nerve. Learn more about Dr. Gidron's work at https://nursres.haifa.ac.il/dr-yori-gidron/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Yori Gidron joins Inna Khazan and Matt Bennett to discuss his work with heart rate variability and the vagus nerve. Learn more about Dr. Gidron's work at https://nursres.haifa.ac.il/dr-yori-gidron/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Yori Gidron talks about the Vagus Nerve & HRV (Replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Yori Gidron joins Inna Khazan and Matt Bennett to discuss his work with heart rate variability and the vagus nerve. Learn more about Dr. Gidron's work at https://nursres.haifa.ac.il/dr-yori-gidron/</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1839491/c1e-oq5ztv7w7pij3zop-jp4rwj98bo9r-m93tbv.mp3" length="49645258"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Yori Gidron joins Inna Khazan and Matt Bennett to discuss his work with heart rate variability and the vagus nerve. Learn more about Dr. Gidron's work at https://nursres.haifa.ac.il/dr-yori-gidron/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1839491/c1a-rqx3-5zg8vkp7in4d-8zodzj.png"></itunes:image>
                                                                            <itunes:duration>00:48:08</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Ralph Harvey talks HRV as a Vital Sign]]>
                </title>
                <pubDate>Thu, 19 Dec 2024 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1864255</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-ralph-harvey-talks-hrv-as-a-vital-sign</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Ralph Harvey joins Matt Bennett to discuss his use of Heart Rate Variability and Heart Rate Variability Biofeedback. Dr. Harvey explores HRV as a vital sign and how he uses HRV biofeedback to address medical issues. </p>
<p>http://harveyhealthperspectives.com/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Ralph Harvey joins Matt Bennett to discuss his use of Heart Rate Variability and Heart Rate Variability Biofeedback. Dr. Harvey explores HRV as a vital sign and how he uses HRV biofeedback to address medical issues. 
http://harveyhealthperspectives.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Ralph Harvey talks HRV as a Vital Sign]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Ralph Harvey joins Matt Bennett to discuss his use of Heart Rate Variability and Heart Rate Variability Biofeedback. Dr. Harvey explores HRV as a vital sign and how he uses HRV biofeedback to address medical issues. </p>
<p>http://harveyhealthperspectives.com/</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1864255/c1e-x6n4amq2g1fr0jgq-ok3j4zjqhmx-jmavpm.mp3" length="47281543"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Ralph Harvey joins Matt Bennett to discuss his use of Heart Rate Variability and Heart Rate Variability Biofeedback. Dr. Harvey explores HRV as a vital sign and how he uses HRV biofeedback to address medical issues. 
http://harveyhealthperspectives.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1864255/c1a-rqx3-jpjn43n6c8wm-d0iqyx.png"></itunes:image>
                                                                            <itunes:duration>00:49:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Kristian Ranta talks Integrating HRV Biofeedback into Mental Health]]>
                </title>
                <pubDate>Thu, 12 Dec 2024 07:12:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1847679</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/kristian-ranta-talks-integrating-hrv-biofeedback-into-mental-health</link>
                                <description>
                                            <![CDATA[<p>In this episode, Kristian Ranta joins Matt Bennett to discuss his work on integrating heart rate variability biofeedback into mental health at Meru Health. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Kristian Ranta joins Matt Bennett to discuss his work on integrating heart rate variability biofeedback into mental health at Meru Health. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Kristian Ranta talks Integrating HRV Biofeedback into Mental Health]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Kristian Ranta joins Matt Bennett to discuss his work on integrating heart rate variability biofeedback into mental health at Meru Health. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1847679/c1e-nq2zt57gwghdowwr-1p0nzjkki9nv-v8do4t.mp3" length="40033708"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Kristian Ranta joins Matt Bennett to discuss his work on integrating heart rate variability biofeedback into mental health at Meru Health. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1847679/c1a-rqx3-pk9dm64xcpzv-9j1xqa.png"></itunes:image>
                                                                            <itunes:duration>00:38:51</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Harry Somaraju talks Anxiety, Happiness, and Heart Rate Variability]]>
                </title>
                <pubDate>Thu, 05 Dec 2024 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1838796</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-harry-somaraju-talks-anxiety-happiness-and-heart-rate-variability</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Harry Somaraju and Matt Bennett discuss Dr. Somaraju's book <em>Anxiety to </em><em>Ahh-mazing in 60 Days.</em> We discuss how Dr. Somaraju integrates heart rate variability biofeedback into his protocol to improve mental, physical, and spiritual health. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Harry Somaraju and Matt Bennett discuss Dr. Somaraju's book Anxiety to Ahh-mazing in 60 Days. We discuss how Dr. Somaraju integrates heart rate variability biofeedback into his protocol to improve mental, physical, and spiritual health. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Harry Somaraju talks Anxiety, Happiness, and Heart Rate Variability]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Harry Somaraju and Matt Bennett discuss Dr. Somaraju's book <em>Anxiety to </em><em>Ahh-mazing in 60 Days.</em> We discuss how Dr. Somaraju integrates heart rate variability biofeedback into his protocol to improve mental, physical, and spiritual health. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1838796/c1e-1w95ijq708t46k40-pk9z6jpgad66-vtro6c.mp3" length="43575936"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Harry Somaraju and Matt Bennett discuss Dr. Somaraju's book Anxiety to Ahh-mazing in 60 Days. We discuss how Dr. Somaraju integrates heart rate variability biofeedback into his protocol to improve mental, physical, and spiritual health. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1838796/c1a-rqx3-7z4pjk69h4nv-mdxvvj.png"></itunes:image>
                                                                            <itunes:duration>00:44:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Greg Elliott Joins the Show to Talk HRV (Replay)]]>
                </title>
                <pubDate>Thu, 28 Nov 2024 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1839477</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/greg-elliott-joins-the-show-to-talk-hrv-replay</link>
                                <description>
                                            <![CDATA[<p>Greg Elliott co-founded HealthQb Technologies Inc, a health monitoring platform focused on helping people improve their heart rate variability. He recently joined us on our podcast to discuss the importance of HRV, how to measure it, and what it can tell us about our overall health. </p>
<p>On this episode, Greg shares his expertise on how to use Heart Rate Variability data for better health outcomes. He explains what HRV is, how it works in the body, and how we can use it to measure our physical and mental well-being. He also talks about why he developed HealthQb and how the company is helping people take control of their health through technology. </p>
<p> Tune in to hear all about Heart Rate Variability and learn more about HealthQb Technologies Inc with Greg!</p>
<div><span style="font-family:tahoma, sans-serif;"><span style="color:#000000;"><span style="font-size:small;"><strong>Greg Elliott</strong></span><br /></span><span style="color:#000000;font-size:xx-small;">MS, CEP, BCAK, DOMP</span></span></div>
<div><strong>E. </strong><a href="mailto:gregoryrelliott@gmail.com" target="_blank" rel="noreferrer noopener"><span class="il">gregoryrelliott@gmail.com</span></a></div>
<div>
<h3 class="LC20lb MBeuO DKV0Md"><a href="https://www.yourhealthqb.com/">HealthQb Technologies</a></h3>
</div>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Greg Elliott co-founded HealthQb Technologies Inc, a health monitoring platform focused on helping people improve their heart rate variability. He recently joined us on our podcast to discuss the importance of HRV, how to measure it, and what it can tell us about our overall health. 
On this episode, Greg shares his expertise on how to use Heart Rate Variability data for better health outcomes. He explains what HRV is, how it works in the body, and how we can use it to measure our physical and mental well-being. He also talks about why he developed HealthQb and how the company is helping people take control of their health through technology. 
 Tune in to hear all about Heart Rate Variability and learn more about HealthQb Technologies Inc with Greg!
Greg ElliottMS, CEP, BCAK, DOMP
E. gregoryrelliott@gmail.com

HealthQb Technologies
]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Greg Elliott Joins the Show to Talk HRV (Replay)]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Greg Elliott co-founded HealthQb Technologies Inc, a health monitoring platform focused on helping people improve their heart rate variability. He recently joined us on our podcast to discuss the importance of HRV, how to measure it, and what it can tell us about our overall health. </p>
<p>On this episode, Greg shares his expertise on how to use Heart Rate Variability data for better health outcomes. He explains what HRV is, how it works in the body, and how we can use it to measure our physical and mental well-being. He also talks about why he developed HealthQb and how the company is helping people take control of their health through technology. </p>
<p> Tune in to hear all about Heart Rate Variability and learn more about HealthQb Technologies Inc with Greg!</p>
<div><span style="font-family:tahoma, sans-serif;"><span style="color:#000000;"><span style="font-size:small;"><strong>Greg Elliott</strong></span><br /></span><span style="color:#000000;font-size:xx-small;">MS, CEP, BCAK, DOMP</span></span></div>
<div><strong>E. </strong><a href="mailto:gregoryrelliott@gmail.com" target="_blank" rel="noreferrer noopener"><span class="il">gregoryrelliott@gmail.com</span></a></div>
<div>
<h3 class="LC20lb MBeuO DKV0Md"><a href="https://www.yourhealthqb.com/">HealthQb Technologies</a></h3>
</div>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1839477/c1e-5wmoimxn59urg1v2-jp4r90j0iv4-noxfn7.mp3" length="48669846"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Greg Elliott co-founded HealthQb Technologies Inc, a health monitoring platform focused on helping people improve their heart rate variability. He recently joined us on our podcast to discuss the importance of HRV, how to measure it, and what it can tell us about our overall health. 
On this episode, Greg shares his expertise on how to use Heart Rate Variability data for better health outcomes. He explains what HRV is, how it works in the body, and how we can use it to measure our physical and mental well-being. He also talks about why he developed HealthQb and how the company is helping people take control of their health through technology. 
 Tune in to hear all about Heart Rate Variability and learn more about HealthQb Technologies Inc with Greg!
Greg ElliottMS, CEP, BCAK, DOMP
E. gregoryrelliott@gmail.com

HealthQb Technologies
]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1839477/c1a-rqx3-rk0v8wz0tkzm-uezafu.png"></itunes:image>
                                                                            <itunes:duration>00:42:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Matt Bennett talks about Turning 50 and HRV]]>
                </title>
                <pubDate>Thu, 21 Nov 2024 07:06:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1901902</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/matt-bennett-talks-about-turning-50-and-hrv</link>
                                <description>
                                            <![CDATA[<p>In this episode, Jeff Somers and Matt Bennett celebrate Matt's 50th birthday by discussing what helped him achieve health at 50 and his plans to stay healthy. Not surprisingly, heart rate variability plays a key role!</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Jeff Somers and Matt Bennett celebrate Matt's 50th birthday by discussing what helped him achieve health at 50 and his plans to stay healthy. Not surprisingly, heart rate variability plays a key role!]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Matt Bennett talks about Turning 50 and HRV]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Jeff Somers and Matt Bennett celebrate Matt's 50th birthday by discussing what helped him achieve health at 50 and his plans to stay healthy. Not surprisingly, heart rate variability plays a key role!</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1901902/c1e-5wmoimqx92srz085-8d9p2x31hdkm-pq2yuk.mp3" length="32964062"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Jeff Somers and Matt Bennett celebrate Matt's 50th birthday by discussing what helped him achieve health at 50 and his plans to stay healthy. Not surprisingly, heart rate variability plays a key role!]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1901902/c1a-rqx3-rkd57rqrt40-erslzt.png"></itunes:image>
                                                                            <itunes:duration>00:32:58</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Cardiologist Dr. Aseem Desai discuss how HRV informs his work]]>
                </title>
                <pubDate>Thu, 14 Nov 2024 07:12:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1832723</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/cardiologist-dr-aseem-desai-discuss-how-hrv-informs-his-work</link>
                                <description>
                                            <![CDATA[<p>Dr. Aseem Desai joins Matt Bennett to discuss how the heart and heart rate variability inform his view of cardiovascular and overall health and wellness.</p>
<p>Dr. Aseem Desai, the “Heart-Mind Doc,” is a Stanford-trained cardiologist, author, and speaker,<br />known for his expertise in heart rhythm disorders and the connection between heart health and<br />mental well-being. As Co-Director of Mission Heritage Heart Rhythm Specialists and author of<br />the Mindful Beats blog on Psychology Today, he offers practical insights on living a balanced life<br />by blending science with personal experience. Inspired by his father’s heart attack at age 3 and<br />subsequent cardiac arrest, Dr. Desai dedicated his career to preventing and treating sudden death.<br />Drawing from his own mental health challenges and the struggles he has seen in his patients,<br />colleagues, and healthcare workers, he integrates heart and mind health in his work. He is the<br />best-selling author of Restart Your Heart: The Playbook for Thriving with AFib and the<br />forthcoming Restart Your Mind: The Playbook for Finding Balance in a Sometimes Chaotic<br />World, where he introduces the M.I.N.D. and R.E.S.T.A.R.T. Frameworks for mental and<br />emotional balance. His work has been featured in Forbes, Men’s Health, Healthline, and Thrive<br />Global. Dr. Desai's "5 Life Rhythms" approach—physical, mental, emotional, social, and<br />spiritual balance—is featured on his website. He enjoys yoga, mindfulness, and playing guitar in<br />his personal life. Learn more at draseemdesai.com.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dr. Aseem Desai joins Matt Bennett to discuss how the heart and heart rate variability inform his view of cardiovascular and overall health and wellness.
Dr. Aseem Desai, the “Heart-Mind Doc,” is a Stanford-trained cardiologist, author, and speaker,known for his expertise in heart rhythm disorders and the connection between heart health andmental well-being. As Co-Director of Mission Heritage Heart Rhythm Specialists and author ofthe Mindful Beats blog on Psychology Today, he offers practical insights on living a balanced lifeby blending science with personal experience. Inspired by his father’s heart attack at age 3 andsubsequent cardiac arrest, Dr. Desai dedicated his career to preventing and treating sudden death.Drawing from his own mental health challenges and the struggles he has seen in his patients,colleagues, and healthcare workers, he integrates heart and mind health in his work. He is thebest-selling author of Restart Your Heart: The Playbook for Thriving with AFib and theforthcoming Restart Your Mind: The Playbook for Finding Balance in a Sometimes ChaoticWorld, where he introduces the M.I.N.D. and R.E.S.T.A.R.T. Frameworks for mental andemotional balance. His work has been featured in Forbes, Men’s Health, Healthline, and ThriveGlobal. Dr. Desai's "5 Life Rhythms" approach—physical, mental, emotional, social, andspiritual balance—is featured on his website. He enjoys yoga, mindfulness, and playing guitar inhis personal life. Learn more at draseemdesai.com.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Cardiologist Dr. Aseem Desai discuss how HRV informs his work]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dr. Aseem Desai joins Matt Bennett to discuss how the heart and heart rate variability inform his view of cardiovascular and overall health and wellness.</p>
<p>Dr. Aseem Desai, the “Heart-Mind Doc,” is a Stanford-trained cardiologist, author, and speaker,<br />known for his expertise in heart rhythm disorders and the connection between heart health and<br />mental well-being. As Co-Director of Mission Heritage Heart Rhythm Specialists and author of<br />the Mindful Beats blog on Psychology Today, he offers practical insights on living a balanced life<br />by blending science with personal experience. Inspired by his father’s heart attack at age 3 and<br />subsequent cardiac arrest, Dr. Desai dedicated his career to preventing and treating sudden death.<br />Drawing from his own mental health challenges and the struggles he has seen in his patients,<br />colleagues, and healthcare workers, he integrates heart and mind health in his work. He is the<br />best-selling author of Restart Your Heart: The Playbook for Thriving with AFib and the<br />forthcoming Restart Your Mind: The Playbook for Finding Balance in a Sometimes Chaotic<br />World, where he introduces the M.I.N.D. and R.E.S.T.A.R.T. Frameworks for mental and<br />emotional balance. His work has been featured in Forbes, Men’s Health, Healthline, and Thrive<br />Global. Dr. Desai's "5 Life Rhythms" approach—physical, mental, emotional, social, and<br />spiritual balance—is featured on his website. He enjoys yoga, mindfulness, and playing guitar in<br />his personal life. Learn more at draseemdesai.com.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1832723/c1e-zqgktmx1k4fqnk0j-xxv2k64jtx29-nnft5k.mp3" length="60167172"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Dr. Aseem Desai joins Matt Bennett to discuss how the heart and heart rate variability inform his view of cardiovascular and overall health and wellness.
Dr. Aseem Desai, the “Heart-Mind Doc,” is a Stanford-trained cardiologist, author, and speaker,known for his expertise in heart rhythm disorders and the connection between heart health andmental well-being. As Co-Director of Mission Heritage Heart Rhythm Specialists and author ofthe Mindful Beats blog on Psychology Today, he offers practical insights on living a balanced lifeby blending science with personal experience. Inspired by his father’s heart attack at age 3 andsubsequent cardiac arrest, Dr. Desai dedicated his career to preventing and treating sudden death.Drawing from his own mental health challenges and the struggles he has seen in his patients,colleagues, and healthcare workers, he integrates heart and mind health in his work. He is thebest-selling author of Restart Your Heart: The Playbook for Thriving with AFib and theforthcoming Restart Your Mind: The Playbook for Finding Balance in a Sometimes ChaoticWorld, where he introduces the M.I.N.D. and R.E.S.T.A.R.T. Frameworks for mental andemotional balance. His work has been featured in Forbes, Men’s Health, Healthline, and ThriveGlobal. Dr. Desai's "5 Life Rhythms" approach—physical, mental, emotional, social, andspiritual balance—is featured on his website. He enjoys yoga, mindfulness, and playing guitar inhis personal life. Learn more at draseemdesai.com.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1832723/c1a-rqx3-jp45xz3gt1n-uoqztn.png"></itunes:image>
                                                                            <itunes:duration>01:01:39</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[CaraMia Alberga Discusses Growth Mindset, Trauma, HRV, and Health Outcomes]]>
                </title>
                <pubDate>Thu, 07 Nov 2024 07:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1823548</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/caramia-alberga-discusses-growth-mindset-trauma-hrv-and-health-outcomes</link>
                                <description>
                                            <![CDATA[<p>In this episode, CaraMia Alberga joins Matt Bennett and Dr. Dave Hopper to discuss how HRV and the autonomic nervous system informed her research on growth mindset, regulation, trauma, and health outcomes.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, CaraMia Alberga joins Matt Bennett and Dr. Dave Hopper to discuss how HRV and the autonomic nervous system informed her research on growth mindset, regulation, trauma, and health outcomes.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[CaraMia Alberga Discusses Growth Mindset, Trauma, HRV, and Health Outcomes]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, CaraMia Alberga joins Matt Bennett and Dr. Dave Hopper to discuss how HRV and the autonomic nervous system informed her research on growth mindset, regulation, trauma, and health outcomes.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1823548/c1e-mpvjfnjggzfxgv8g-25dwz786uqd0-iktxfw.mp3" length="50929708"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, CaraMia Alberga joins Matt Bennett and Dr. Dave Hopper to discuss how HRV and the autonomic nervous system informed her research on growth mindset, regulation, trauma, and health outcomes.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1823548/c1a-rqx3-6zw06do0sz11-ohjrbx.png"></itunes:image>
                                                                            <itunes:duration>00:50:22</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Stephanie White discusses 24/7 HRV Monitoring]]>
                </title>
                <pubDate>Thu, 31 Oct 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1813307</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/stephanie-white-discusses-247-hrv-monitoring</link>
                                <description>
                                            <![CDATA[<p>In this episode, Stephanie White joins Matt Bennett to discuss the benefits and methods of 24/7 heart rate variability monitoring.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Stephanie White joins Matt Bennett to discuss the benefits and methods of 24/7 heart rate variability monitoring.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Stephanie White discusses 24/7 HRV Monitoring]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Stephanie White joins Matt Bennett to discuss the benefits and methods of 24/7 heart rate variability monitoring.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1813307/c1e-5wmoimvkzvfrnxwm-ok4nv902bwjd-bfifij.mp3" length="66180253"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Stephanie White joins Matt Bennett to discuss the benefits and methods of 24/7 heart rate variability monitoring.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1813307/c1a-rqx3-47gw21kwh320-ump0u1.png"></itunes:image>
                                                                            <itunes:duration>01:06:17</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Kennedy-Metz discussing her HRV Research in Real Time Medical Settings]]>
                </title>
                <pubDate>Thu, 24 Oct 2024 06:03:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1813297</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-kennedy-metz-discussing-her-hrv-research-in-real-time-medical-settings</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Lauren Kennedy-Metz joins Matt Bennett to discuss her journey with HRV and an HRV research study in operating rooms, which should transform healthcare! </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Lauren Kennedy-Metz joins Matt Bennett to discuss her journey with HRV and an HRV research study in operating rooms, which should transform healthcare! ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Kennedy-Metz discussing her HRV Research in Real Time Medical Settings]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Lauren Kennedy-Metz joins Matt Bennett to discuss her journey with HRV and an HRV research study in operating rooms, which should transform healthcare! </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1813297/c1e-3w07i5qjx3fm6zg2-0vd169pocpd-8we0ez.mp3" length="54144587"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Lauren Kennedy-Metz joins Matt Bennett to discuss her journey with HRV and an HRV research study in operating rooms, which should transform healthcare! ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1813297/c1a-rqx3-wwz9o780hq2r-4nshsy.png"></itunes:image>
                                                                            <itunes:duration>00:54:54</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Donald Moss talks about his book Integrating Psychotherapy and Psychophysiology]]>
                </title>
                <pubDate>Thu, 17 Oct 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1834567</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-donald-moss-talks-about-his-book-integrating-psychotherapy-and-psychophysiology</link>
                                <description>
                                            <![CDATA[<p>Dr. Donald Moss joins Matt Bennett to discuss his book <em>Integrating Psychotherapy and Psychophysiology</em>. We discuss the benefits of integrating heart rate variability biofeedback into coaching, therapy, and counseling. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dr. Donald Moss joins Matt Bennett to discuss his book Integrating Psychotherapy and Psychophysiology. We discuss the benefits of integrating heart rate variability biofeedback into coaching, therapy, and counseling. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Donald Moss talks about his book Integrating Psychotherapy and Psychophysiology]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dr. Donald Moss joins Matt Bennett to discuss his book <em>Integrating Psychotherapy and Psychophysiology</em>. We discuss the benefits of integrating heart rate variability biofeedback into coaching, therapy, and counseling. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1834567/c1e-1w95ij8k7na46jr7-1p06dnn1iqdw-gfxxeq.mp3" length="47309929"
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                                <itunes:summary>
                    <![CDATA[Dr. Donald Moss joins Matt Bennett to discuss his book Integrating Psychotherapy and Psychophysiology. We discuss the benefits of integrating heart rate variability biofeedback into coaching, therapy, and counseling. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1834567/c1a-rqx3-wwzomgggbvgp-sbpi9n.png"></itunes:image>
                                                                            <itunes:duration>00:45:31</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Judith Andersen discusses the International Performance, Resilience, and Efficiency Program]]>
                </title>
                <pubDate>Thu, 10 Oct 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
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                    https://permalink.castos.com/podcast/10649/episode/1802669</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-judith-andersen-discusses-the-international-performance-resilience-and-efficiency-program</link>
                                <description>
                                            <![CDATA[<p>In this episode. Dr. Judith Andersen and Matt Bennett discuss how she integrated heart rate variability and HRV Biofeedback into her work with police officers and the development of the International Performance, Resilience, and Efficiency Program.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode. Dr. Judith Andersen and Matt Bennett discuss how she integrated heart rate variability and HRV Biofeedback into her work with police officers and the development of the International Performance, Resilience, and Efficiency Program.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Judith Andersen discusses the International Performance, Resilience, and Efficiency Program]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode. Dr. Judith Andersen and Matt Bennett discuss how she integrated heart rate variability and HRV Biofeedback into her work with police officers and the development of the International Performance, Resilience, and Efficiency Program.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1802669/c1e-rqx3tj29vjfg78z4-ok4k98kncg2-li17jm.mp3" length="61402525"
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                                <itunes:summary>
                    <![CDATA[In this episode. Dr. Judith Andersen and Matt Bennett discuss how she integrated heart rate variability and HRV Biofeedback into her work with police officers and the development of the International Performance, Resilience, and Efficiency Program.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1802669/c1a-rqx3-pk9kr8k5hpqo-wjincs.png"></itunes:image>
                                                                            <itunes:duration>01:02:02</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Brendan Parsons talk HRV Biofeedback and Neurofeedback]]>
                </title>
                <pubDate>Thu, 03 Oct 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1802255</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-brendan-parson-talk-hrv-biofeedback-and-neurofeedback</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Brendan Parsons joins Matt Bennet to discuss his integration of HRV Biofeedback into Neuroscience. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Brendan Parsons joins Matt Bennet to discuss his integration of HRV Biofeedback into Neuroscience. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Brendan Parsons talk HRV Biofeedback and Neurofeedback]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Brendan Parsons joins Matt Bennet to discuss his integration of HRV Biofeedback into Neuroscience. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1802255/c1e-jz13fqg8dnsp02wj-9j5j37pvs4nj-eow7vm.mp3" length="58141589"
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                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Brendan Parsons joins Matt Bennet to discuss his integration of HRV Biofeedback into Neuroscience. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1802255/c1a-rqx3-v616pk5rbx9j-tiuxop.png"></itunes:image>
                                                                            <itunes:duration>00:58:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Fredrick Shaffer returns to Discuss HRV, Mindfulness, and Interoception]]>
                </title>
                <pubDate>Thu, 26 Sep 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1794532</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-fredrick-shaffer-returns-to-discuss-hrv-mindfulness-and-interoception</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Fredrick Shaffer and Matt Bennett discuss heart rate variability biofeedback, mindfulness, and interoception.</p>
<p>Website:<a href="https://www.biosourcesoftware.com">https://www.biosourcesoftware.com</a></p>
<p>Email:<span><a href="mailto:fred@biosourcesoftware.com">fred@biosourcesoftware.com</a></span></p>
<p><span>Bio: Fredric Bruce Shaffer, PhD, BCB, BCB-HRV, is a professor of psychology at Truman State University and an adjunct faculty member at Saybrook University. He earned his PhD and MS in Psychology from Oklahoma State University and a BA in Psychology and Political Science from Claremont Men’s College. Dr. Shaffer is a BCIA Senior Fellow in Biofeedback and holds certification in HRV Biofeedback. He has served as President, Treasurer, and Program Chair of AAPB, as well as Treasurer, Chair, and Board Member of BCIA. Additionally, he co-edits "Evidence-Based Practice in Biofeedback and Neurofeedback". Dr. Shaffer has been honored as a Distinguished Scientist and an Honorary Fellow by AAPB and received the Outstanding Research Mentor award from Truman State University. He has taught a range of courses including Clinical Psychology, Crisis Intervention, Experimental Psychology, HRV Biofeedback, and Physiological Psychology. Dr. Shaffer has presented extensively on HRV biofeedback and neuroscience at professional conferences and webinars. He can be contacted at fredricshaffer@gmail.com or 660-349-9522.</span></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Fredrick Shaffer and Matt Bennett discuss heart rate variability biofeedback, mindfulness, and interoception.
Website:https://www.biosourcesoftware.com
Email:fred@biosourcesoftware.com
Bio: Fredric Bruce Shaffer, PhD, BCB, BCB-HRV, is a professor of psychology at Truman State University and an adjunct faculty member at Saybrook University. He earned his PhD and MS in Psychology from Oklahoma State University and a BA in Psychology and Political Science from Claremont Men’s College. Dr. Shaffer is a BCIA Senior Fellow in Biofeedback and holds certification in HRV Biofeedback. He has served as President, Treasurer, and Program Chair of AAPB, as well as Treasurer, Chair, and Board Member of BCIA. Additionally, he co-edits "Evidence-Based Practice in Biofeedback and Neurofeedback". Dr. Shaffer has been honored as a Distinguished Scientist and an Honorary Fellow by AAPB and received the Outstanding Research Mentor award from Truman State University. He has taught a range of courses including Clinical Psychology, Crisis Intervention, Experimental Psychology, HRV Biofeedback, and Physiological Psychology. Dr. Shaffer has presented extensively on HRV biofeedback and neuroscience at professional conferences and webinars. He can be contacted at fredricshaffer@gmail.com or 660-349-9522.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Fredrick Shaffer returns to Discuss HRV, Mindfulness, and Interoception]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Fredrick Shaffer and Matt Bennett discuss heart rate variability biofeedback, mindfulness, and interoception.</p>
<p>Website:<a href="https://www.biosourcesoftware.com">https://www.biosourcesoftware.com</a></p>
<p>Email:<span><a href="mailto:fred@biosourcesoftware.com">fred@biosourcesoftware.com</a></span></p>
<p><span>Bio: Fredric Bruce Shaffer, PhD, BCB, BCB-HRV, is a professor of psychology at Truman State University and an adjunct faculty member at Saybrook University. He earned his PhD and MS in Psychology from Oklahoma State University and a BA in Psychology and Political Science from Claremont Men’s College. Dr. Shaffer is a BCIA Senior Fellow in Biofeedback and holds certification in HRV Biofeedback. He has served as President, Treasurer, and Program Chair of AAPB, as well as Treasurer, Chair, and Board Member of BCIA. Additionally, he co-edits "Evidence-Based Practice in Biofeedback and Neurofeedback". Dr. Shaffer has been honored as a Distinguished Scientist and an Honorary Fellow by AAPB and received the Outstanding Research Mentor award from Truman State University. He has taught a range of courses including Clinical Psychology, Crisis Intervention, Experimental Psychology, HRV Biofeedback, and Physiological Psychology. Dr. Shaffer has presented extensively on HRV biofeedback and neuroscience at professional conferences and webinars. He can be contacted at fredricshaffer@gmail.com or 660-349-9522.</span></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1794532/c1e-gmnzs37z9vux03v7-v61v24vdikqr-uhr0wn.mp3" length="47399479"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Fredrick Shaffer and Matt Bennett discuss heart rate variability biofeedback, mindfulness, and interoception.
Website:https://www.biosourcesoftware.com
Email:fred@biosourcesoftware.com
Bio: Fredric Bruce Shaffer, PhD, BCB, BCB-HRV, is a professor of psychology at Truman State University and an adjunct faculty member at Saybrook University. He earned his PhD and MS in Psychology from Oklahoma State University and a BA in Psychology and Political Science from Claremont Men’s College. Dr. Shaffer is a BCIA Senior Fellow in Biofeedback and holds certification in HRV Biofeedback. He has served as President, Treasurer, and Program Chair of AAPB, as well as Treasurer, Chair, and Board Member of BCIA. Additionally, he co-edits "Evidence-Based Practice in Biofeedback and Neurofeedback". Dr. Shaffer has been honored as a Distinguished Scientist and an Honorary Fellow by AAPB and received the Outstanding Research Mentor award from Truman State University. He has taught a range of courses including Clinical Psychology, Crisis Intervention, Experimental Psychology, HRV Biofeedback, and Physiological Psychology. Dr. Shaffer has presented extensively on HRV biofeedback and neuroscience at professional conferences and webinars. He can be contacted at fredricshaffer@gmail.com or 660-349-9522.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1794532/c1a-rqx3-0vd05p0psv74-lysr1n.png"></itunes:image>
                                                                            <itunes:duration>00:49:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[David Lowenfels holds a Master Class on the Baroreflex]]>
                </title>
                <pubDate>Thu, 19 Sep 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1789156</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/david-lowenfels-holds-a-master-class-on-the-baroreflex</link>
                                <description>
                                            <![CDATA[<p>In this episode, David Lowenfels joins Matt Bennett to discuss the baroreflex and heart rate variability in depth. </p>
<p>- David’s Baroreflex Sketch <a href="https://imgur.com/Jrb2Anj" target="_blank" rel="noreferrer noopener">https://imgur.com/Jrb2Anj</a><br />- Supplementary images: <a href="https://imgur.com/a/ZLoB8FB" target="_blank" rel="noreferrer noopener">https://imgur.com/a/ZLoB8FB</a><br />- Video of David demonstrating cardiovagal and neurovascular resonance frequencies with Pranawave software: <a href="https://www.youtube.com/watch?v=WRS5-rBw-0w" target="_blank" rel="noreferrer noopener">https://www.youtube.com/watch?v=WRS5-rBw-0w</a><br />- Vaschillo et al. (2002) on Baroreflex Resonance Loops: <a href="https://www.researchgate.net/publication/11368894" target="_blank" rel="noreferrer noopener">https://www.researchgate.net/publication/11368894</a><br />- Atasoy et al. (2016) on Brain Connectome Harmonics: <a href="https://doi.org/10.1038/ncomms10340" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/ncomms10340</a><br />- Mather &amp; Thayer (2018) "How heart rate variability affects emotion regulation brain networks": <a href="https://doi.org/10.1016%2Fj.cobeha.2017.12.017" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016%2Fj.cobeha.2017.12.017</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, David Lowenfels joins Matt Bennett to discuss the baroreflex and heart rate variability in depth. 
- David’s Baroreflex Sketch https://imgur.com/Jrb2Anj- Supplementary images: https://imgur.com/a/ZLoB8FB- Video of David demonstrating cardiovagal and neurovascular resonance frequencies with Pranawave software: https://www.youtube.com/watch?v=WRS5-rBw-0w- Vaschillo et al. (2002) on Baroreflex Resonance Loops: https://www.researchgate.net/publication/11368894- Atasoy et al. (2016) on Brain Connectome Harmonics: https://doi.org/10.1038/ncomms10340- Mather & Thayer (2018) "How heart rate variability affects emotion regulation brain networks": https://doi.org/10.1016%2Fj.cobeha.2017.12.017]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[David Lowenfels holds a Master Class on the Baroreflex]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, David Lowenfels joins Matt Bennett to discuss the baroreflex and heart rate variability in depth. </p>
<p>- David’s Baroreflex Sketch <a href="https://imgur.com/Jrb2Anj" target="_blank" rel="noreferrer noopener">https://imgur.com/Jrb2Anj</a><br />- Supplementary images: <a href="https://imgur.com/a/ZLoB8FB" target="_blank" rel="noreferrer noopener">https://imgur.com/a/ZLoB8FB</a><br />- Video of David demonstrating cardiovagal and neurovascular resonance frequencies with Pranawave software: <a href="https://www.youtube.com/watch?v=WRS5-rBw-0w" target="_blank" rel="noreferrer noopener">https://www.youtube.com/watch?v=WRS5-rBw-0w</a><br />- Vaschillo et al. (2002) on Baroreflex Resonance Loops: <a href="https://www.researchgate.net/publication/11368894" target="_blank" rel="noreferrer noopener">https://www.researchgate.net/publication/11368894</a><br />- Atasoy et al. (2016) on Brain Connectome Harmonics: <a href="https://doi.org/10.1038/ncomms10340" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/ncomms10340</a><br />- Mather &amp; Thayer (2018) "How heart rate variability affects emotion regulation brain networks": <a href="https://doi.org/10.1016%2Fj.cobeha.2017.12.017" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016%2Fj.cobeha.2017.12.017</a></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1789156/c1e-nq2zt52o33td2qn9-1p05q0ppfqrm-oyos5j.mp3" length="50403000"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, David Lowenfels joins Matt Bennett to discuss the baroreflex and heart rate variability in depth. 
- David’s Baroreflex Sketch https://imgur.com/Jrb2Anj- Supplementary images: https://imgur.com/a/ZLoB8FB- Video of David demonstrating cardiovagal and neurovascular resonance frequencies with Pranawave software: https://www.youtube.com/watch?v=WRS5-rBw-0w- Vaschillo et al. (2002) on Baroreflex Resonance Loops: https://www.researchgate.net/publication/11368894- Atasoy et al. (2016) on Brain Connectome Harmonics: https://doi.org/10.1038/ncomms10340- Mather & Thayer (2018) "How heart rate variability affects emotion regulation brain networks": https://doi.org/10.1016%2Fj.cobeha.2017.12.017]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1789156/c1a-rqx3-8d4qp4dgsrmr-0hqwaz.png"></itunes:image>
                                                                            <itunes:duration>00:52:36</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Patrick Steffen discusses his new Book]]>
                </title>
                <pubDate>Thu, 12 Sep 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1789159</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/patrick-steffen-discusses-his-new-book</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Patrick Steffen joins Matt Bennett to discuss his new book: Integrating Psychotherapy and Psychophysiology</p>
<p>Order your copy: <a class="a-link-normal s-underline-text s-underline-link-text s-link-style a-text-normal" href="https://www.amazon.com/Integrating-Psychotherapy-Psychophysiology-Assessment-Practice/dp/0198888724/ref=sr_1_2?crid=USMQTJOXQ2U&amp;dib=eyJ2IjoiMSJ9.ySlchI5Qb74Egi333g5PC9jJUP9X8nEiAMxil03RPl_WLkN0ZgnXT_nCPHtQ-KY4BVW0O7TimVBnO2S7D9-7056kg-RQGmEyOkZBemNscpuf_zwmjINSH9TB_axg3KHIIYR3rJUURNOclSlqJ0qbZoY986uVjjKREnHQwHJlQ-CGIzeZoGIxOul3bvdGkQbTr0f5NOVRogOl-rtQ0t_vM36EK4sRBF0wNeMfseob4og.ZpwxSMCArNjHzU60jkTA1DzD-oJxGTCzBKBbMG7t2Qc&amp;dib_tag=se&amp;keywords=patrick+steffen&amp;qid=1721420346&amp;sprefix=%2Caps%2C158&amp;sr=8-2"><span class="a-size-medium a-color-base a-text-normal">Integrating Psychotherapy and Psychophysiology: Theory, Assessment, and Practice</span></a></p>
<p><span class="a-size-medium a-color-base a-text-normal">Website:<a href="https://fhssfaculty.byu.edu/directory/patrick-steffen">https://fhssfaculty.byu.edu/directory/patrick-steffen</a></span></p>
<p><span class="a-size-medium a-color-base a-text-normal">Email:<span style="background-color:#ffffff;"><a href="mailto:steffen@byu.edu">steffen@byu.edu</a></span></span></p>
<p><span class="a-size-medium a-color-base a-text-normal"><span style="background-color:#ffffff;"><strong>About Dr. Steffen</strong><br />Dr. Steffen received his PhD in Clinical Health Psychology from the University of Miami and was<br />a post-doctoral fellow in cardiovascular behavioral medicine at Duke University Medical Center.<br />He is currently a Professor of Psychology at Brigham Young University where he has served as<br />the Director of Clinical Training and as an Alcuin Fellow in the Honors Program. He is a Fellow of<br />the Association for Applied Psychophysiology and Biofeedback and is a past president of that<br />organization. He is board certified in biofeedback and teaches an accredited course that leads<br />to board certification in biofeedback. He serves as Associate Editor for the journal Applied<br />Psychophysiology and Biofeedback and has served on the editorial boards for the Annals of<br />Behavioral Medicine, Journal of Behavioral Medicine, Frontiers in Psychology, and Cultural<br />Diversity and Ethnic Minority Psychology. His research interests are in health psychology and<br />behavioral medicine, biofeedback and psychotherapy, and the impact of culture and spirituality<br />on health.</span></span></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Patrick Steffen joins Matt Bennett to discuss his new book: Integrating Psychotherapy and Psychophysiology
Order your copy: Integrating Psychotherapy and Psychophysiology: Theory, Assessment, and Practice
Website:https://fhssfaculty.byu.edu/directory/patrick-steffen
Email:steffen@byu.edu
About Dr. SteffenDr. Steffen received his PhD in Clinical Health Psychology from the University of Miami and wasa post-doctoral fellow in cardiovascular behavioral medicine at Duke University Medical Center.He is currently a Professor of Psychology at Brigham Young University where he has served asthe Director of Clinical Training and as an Alcuin Fellow in the Honors Program. He is a Fellow ofthe Association for Applied Psychophysiology and Biofeedback and is a past president of thatorganization. He is board certified in biofeedback and teaches an accredited course that leadsto board certification in biofeedback. He serves as Associate Editor for the journal AppliedPsychophysiology and Biofeedback and has served on the editorial boards for the Annals ofBehavioral Medicine, Journal of Behavioral Medicine, Frontiers in Psychology, and CulturalDiversity and Ethnic Minority Psychology. His research interests are in health psychology andbehavioral medicine, biofeedback and psychotherapy, and the impact of culture and spiritualityon health.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Patrick Steffen discusses his new Book]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Patrick Steffen joins Matt Bennett to discuss his new book: Integrating Psychotherapy and Psychophysiology</p>
<p>Order your copy: <a class="a-link-normal s-underline-text s-underline-link-text s-link-style a-text-normal" href="https://www.amazon.com/Integrating-Psychotherapy-Psychophysiology-Assessment-Practice/dp/0198888724/ref=sr_1_2?crid=USMQTJOXQ2U&amp;dib=eyJ2IjoiMSJ9.ySlchI5Qb74Egi333g5PC9jJUP9X8nEiAMxil03RPl_WLkN0ZgnXT_nCPHtQ-KY4BVW0O7TimVBnO2S7D9-7056kg-RQGmEyOkZBemNscpuf_zwmjINSH9TB_axg3KHIIYR3rJUURNOclSlqJ0qbZoY986uVjjKREnHQwHJlQ-CGIzeZoGIxOul3bvdGkQbTr0f5NOVRogOl-rtQ0t_vM36EK4sRBF0wNeMfseob4og.ZpwxSMCArNjHzU60jkTA1DzD-oJxGTCzBKBbMG7t2Qc&amp;dib_tag=se&amp;keywords=patrick+steffen&amp;qid=1721420346&amp;sprefix=%2Caps%2C158&amp;sr=8-2"><span class="a-size-medium a-color-base a-text-normal">Integrating Psychotherapy and Psychophysiology: Theory, Assessment, and Practice</span></a></p>
<p><span class="a-size-medium a-color-base a-text-normal">Website:<a href="https://fhssfaculty.byu.edu/directory/patrick-steffen">https://fhssfaculty.byu.edu/directory/patrick-steffen</a></span></p>
<p><span class="a-size-medium a-color-base a-text-normal">Email:<span style="background-color:#ffffff;"><a href="mailto:steffen@byu.edu">steffen@byu.edu</a></span></span></p>
<p><span class="a-size-medium a-color-base a-text-normal"><span style="background-color:#ffffff;"><strong>About Dr. Steffen</strong><br />Dr. Steffen received his PhD in Clinical Health Psychology from the University of Miami and was<br />a post-doctoral fellow in cardiovascular behavioral medicine at Duke University Medical Center.<br />He is currently a Professor of Psychology at Brigham Young University where he has served as<br />the Director of Clinical Training and as an Alcuin Fellow in the Honors Program. He is a Fellow of<br />the Association for Applied Psychophysiology and Biofeedback and is a past president of that<br />organization. He is board certified in biofeedback and teaches an accredited course that leads<br />to board certification in biofeedback. He serves as Associate Editor for the journal Applied<br />Psychophysiology and Biofeedback and has served on the editorial boards for the Annals of<br />Behavioral Medicine, Journal of Behavioral Medicine, Frontiers in Psychology, and Cultural<br />Diversity and Ethnic Minority Psychology. His research interests are in health psychology and<br />behavioral medicine, biofeedback and psychotherapy, and the impact of culture and spirituality<br />on health.</span></span></p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1789159/c1e-jz13fq7g24apzjv9-6zd34wmqid46-7x1yx0.mp3" length="39898995"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Patrick Steffen joins Matt Bennett to discuss his new book: Integrating Psychotherapy and Psychophysiology
Order your copy: Integrating Psychotherapy and Psychophysiology: Theory, Assessment, and Practice
Website:https://fhssfaculty.byu.edu/directory/patrick-steffen
Email:steffen@byu.edu
About Dr. SteffenDr. Steffen received his PhD in Clinical Health Psychology from the University of Miami and wasa post-doctoral fellow in cardiovascular behavioral medicine at Duke University Medical Center.He is currently a Professor of Psychology at Brigham Young University where he has served asthe Director of Clinical Training and as an Alcuin Fellow in the Honors Program. He is a Fellow ofthe Association for Applied Psychophysiology and Biofeedback and is a past president of thatorganization. He is board certified in biofeedback and teaches an accredited course that leadsto board certification in biofeedback. He serves as Associate Editor for the journal AppliedPsychophysiology and Biofeedback and has served on the editorial boards for the Annals ofBehavioral Medicine, Journal of Behavioral Medicine, Frontiers in Psychology, and CulturalDiversity and Ethnic Minority Psychology. His research interests are in health psychology andbehavioral medicine, biofeedback and psychotherapy, and the impact of culture and spiritualityon health.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1789159/c1a-rqx3-jp43gj8xamw-3yzlwz.png"></itunes:image>
                                                                            <itunes:duration>00:40:02</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Sarah Gray talks about integrating HRV into her Clinical Work]]>
                </title>
                <pubDate>Thu, 05 Sep 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1788341</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-sarah-grey-talk-about-integrating-hrv-into-her-clinical-work</link>
                                <description>
                                            <![CDATA[<p>In this episode, Dr. Sarah Gray joins Matt Bennett to discuss how HRV informs and supports her work as a psychologist.</p>
<p><strong>Website:</strong><a href="http://www.integrativepsychology.com">http://www.integrativepsychology.com</a></p>
<p><strong>Email:</strong><a href="mailto:info@integrativepsychology.com">info@integrativepsychology.com</a></p>
<p><strong>Bio for Sarah Gray, Psy.D.</strong><br />Dr. Sarah Gray is an Instructor of Psychology of Harvard Medical School, and<br />a Clinical Psychologist and Assistant Director of Behavioral Sleep Medicine<br />Training in the Behavioral Medicine Program at Massachusetts General<br />Hospital. She previously worked for close to a decade as a Clinical Health<br />Psychologist I the FRP pain program and the Director of Outpatient<br />Rehabilitation Psychology with the Department of Physical Medicine and<br />Rehabilitation at Spaulding Rehabilitation Hospital in Boston, Massachusetts.<br />She is the Founder and Director of Integrative Psychology, PC, a private<br />practice in Arlington, Massachusetts where she leads a team of talented<br />clinicians and provides innovative and evidence-based therapy, consulting,<br />and presentations.<br />Dr. Gray studied psychology as an undergraduate at Sarah Lawrence College<br />in New York, and Oxford University in Oxford, England. She earned her<br />doctorate in clinical psychology at the Massachusetts School of Professional<br />Psychology (MSPP; now William James College), as well as completing<br />MSPP’s specialized concentration in health psychology.<br />Dr. Gray’s clinical training included providing psychotherapy, outreach, and<br />stress-management groups for the health and counseling service centers at<br />Massachusetts College of Art and Design and the University of Southern<br />Maine. She received specialized training in Cognitive Behavioral Therapy<br />(CBT) and Dialectical Behavioral Therapy (DBT) while training at Harvard<br />Medical School-affiliated Massachusetts Mental Health Center Partial and<br />Intensive Outpatient hospital programs. She also completed behavioral<br />medicine3 internships, including training towards certification in biofeedback<br />and clinical hypnosis, at Boston Behavioral Medicine in Brookline, MA, and<br />the Health Psychology Center in Portland, Maine. Her post-doctoral fellowship<br />was completed at the University of Rhode Island Counseling Center where<br />she provided psychotherapy, facilitated groups, provided crisis interventions,<br />and performed psychological assessments.</p>
<p>Dr. Gray’s current clinical and research interests involve health psychology<br />and behavioral medicine, chronic pain interventions, mindfulness for brain<br />injuries, evidence-based integrative and complementary alternative medicine<br />(CAM) approaches to wellness, stress-management interventions, such as<br />mindfulness, biofeedback, neurofeedback, and clinical and gut-directed<br />hypnosis, EMDR, CBT for Insomnia, and subjects related to creativity and art<br />therapy, and the role of nutrition in mental health.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Dr. Sarah Gray joins Matt Bennett to discuss how HRV informs and supports her work as a psychologist.
Website:http://www.integrativepsychology.com
Email:info@integrativepsychology.com
Bio for Sarah Gray, Psy.D.Dr. Sarah Gray is an Instructor of Psychology of Harvard Medical School, anda Clinical Psychologist and Assistant Director of Behavioral Sleep MedicineTraining in the Behavioral Medicine Program at Massachusetts GeneralHospital. She previously worked for close to a decade as a Clinical HealthPsychologist I the FRP pain program and the Director of OutpatientRehabilitation Psychology with the Department of Physical Medicine andRehabilitation at Spaulding Rehabilitation Hospital in Boston, Massachusetts.She is the Founder and Director of Integrative Psychology, PC, a privatepractice in Arlington, Massachusetts where she leads a team of talentedclinicians and provides innovative and evidence-based therapy, consulting,and presentations.Dr. Gray studied psychology as an undergraduate at Sarah Lawrence Collegein New York, and Oxford University in Oxford, England. She earned herdoctorate in clinical psychology at the Massachusetts School of ProfessionalPsychology (MSPP; now William James College), as well as completingMSPP’s specialized concentration in health psychology.Dr. Gray’s clinical training included providing psychotherapy, outreach, andstress-management groups for the health and counseling service centers atMassachusetts College of Art and Design and the University of SouthernMaine. She received specialized training in Cognitive Behavioral Therapy(CBT) and Dialectical Behavioral Therapy (DBT) while training at HarvardMedical School-affiliated Massachusetts Mental Health Center Partial andIntensive Outpatient hospital programs. She also completed behavioralmedicine3 internships, including training towards certification in biofeedbackand clinical hypnosis, at Boston Behavioral Medicine in Brookline, MA, andthe Health Psychology Center in Portland, Maine. Her post-doctoral fellowshipwas completed at the University of Rhode Island Counseling Center whereshe provided psychotherapy, facilitated groups, provided crisis interventions,and performed psychological assessments.
Dr. Gray’s current clinical and research interests involve health psychologyand behavioral medicine, chronic pain interventions, mindfulness for braininjuries, evidence-based integrative and complementary alternative medicine(CAM) approaches to wellness, stress-management interventions, such asmindfulness, biofeedback, neurofeedback, and clinical and gut-directedhypnosis, EMDR, CBT for Insomnia, and subjects related to creativity and arttherapy, and the role of nutrition in mental health.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Sarah Gray talks about integrating HRV into her Clinical Work]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Dr. Sarah Gray joins Matt Bennett to discuss how HRV informs and supports her work as a psychologist.</p>
<p><strong>Website:</strong><a href="http://www.integrativepsychology.com">http://www.integrativepsychology.com</a></p>
<p><strong>Email:</strong><a href="mailto:info@integrativepsychology.com">info@integrativepsychology.com</a></p>
<p><strong>Bio for Sarah Gray, Psy.D.</strong><br />Dr. Sarah Gray is an Instructor of Psychology of Harvard Medical School, and<br />a Clinical Psychologist and Assistant Director of Behavioral Sleep Medicine<br />Training in the Behavioral Medicine Program at Massachusetts General<br />Hospital. She previously worked for close to a decade as a Clinical Health<br />Psychologist I the FRP pain program and the Director of Outpatient<br />Rehabilitation Psychology with the Department of Physical Medicine and<br />Rehabilitation at Spaulding Rehabilitation Hospital in Boston, Massachusetts.<br />She is the Founder and Director of Integrative Psychology, PC, a private<br />practice in Arlington, Massachusetts where she leads a team of talented<br />clinicians and provides innovative and evidence-based therapy, consulting,<br />and presentations.<br />Dr. Gray studied psychology as an undergraduate at Sarah Lawrence College<br />in New York, and Oxford University in Oxford, England. She earned her<br />doctorate in clinical psychology at the Massachusetts School of Professional<br />Psychology (MSPP; now William James College), as well as completing<br />MSPP’s specialized concentration in health psychology.<br />Dr. Gray’s clinical training included providing psychotherapy, outreach, and<br />stress-management groups for the health and counseling service centers at<br />Massachusetts College of Art and Design and the University of Southern<br />Maine. She received specialized training in Cognitive Behavioral Therapy<br />(CBT) and Dialectical Behavioral Therapy (DBT) while training at Harvard<br />Medical School-affiliated Massachusetts Mental Health Center Partial and<br />Intensive Outpatient hospital programs. She also completed behavioral<br />medicine3 internships, including training towards certification in biofeedback<br />and clinical hypnosis, at Boston Behavioral Medicine in Brookline, MA, and<br />the Health Psychology Center in Portland, Maine. Her post-doctoral fellowship<br />was completed at the University of Rhode Island Counseling Center where<br />she provided psychotherapy, facilitated groups, provided crisis interventions,<br />and performed psychological assessments.</p>
<p>Dr. Gray’s current clinical and research interests involve health psychology<br />and behavioral medicine, chronic pain interventions, mindfulness for brain<br />injuries, evidence-based integrative and complementary alternative medicine<br />(CAM) approaches to wellness, stress-management interventions, such as<br />mindfulness, biofeedback, neurofeedback, and clinical and gut-directed<br />hypnosis, EMDR, CBT for Insomnia, and subjects related to creativity and art<br />therapy, and the role of nutrition in mental health.</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1788341/c1e-83zqt9z849ix9mjk-xxv4g358trkz-di7j7b.mp3" length="37605436"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Dr. Sarah Gray joins Matt Bennett to discuss how HRV informs and supports her work as a psychologist.
Website:http://www.integrativepsychology.com
Email:info@integrativepsychology.com
Bio for Sarah Gray, Psy.D.Dr. Sarah Gray is an Instructor of Psychology of Harvard Medical School, anda Clinical Psychologist and Assistant Director of Behavioral Sleep MedicineTraining in the Behavioral Medicine Program at Massachusetts GeneralHospital. She previously worked for close to a decade as a Clinical HealthPsychologist I the FRP pain program and the Director of OutpatientRehabilitation Psychology with the Department of Physical Medicine andRehabilitation at Spaulding Rehabilitation Hospital in Boston, Massachusetts.She is the Founder and Director of Integrative Psychology, PC, a privatepractice in Arlington, Massachusetts where she leads a team of talentedclinicians and provides innovative and evidence-based therapy, consulting,and presentations.Dr. Gray studied psychology as an undergraduate at Sarah Lawrence Collegein New York, and Oxford University in Oxford, England. She earned herdoctorate in clinical psychology at the Massachusetts School of ProfessionalPsychology (MSPP; now William James College), as well as completingMSPP’s specialized concentration in health psychology.Dr. Gray’s clinical training included providing psychotherapy, outreach, andstress-management groups for the health and counseling service centers atMassachusetts College of Art and Design and the University of SouthernMaine. She received specialized training in Cognitive Behavioral Therapy(CBT) and Dialectical Behavioral Therapy (DBT) while training at HarvardMedical School-affiliated Massachusetts Mental Health Center Partial andIntensive Outpatient hospital programs. She also completed behavioralmedicine3 internships, including training towards certification in biofeedbackand clinical hypnosis, at Boston Behavioral Medicine in Brookline, MA, andthe Health Psychology Center in Portland, Maine. Her post-doctoral fellowshipwas completed at the University of Rhode Island Counseling Center whereshe provided psychotherapy, facilitated groups, provided crisis interventions,and performed psychological assessments.
Dr. Gray’s current clinical and research interests involve health psychologyand behavioral medicine, chronic pain interventions, mindfulness for braininjuries, evidence-based integrative and complementary alternative medicine(CAM) approaches to wellness, stress-management interventions, such asmindfulness, biofeedback, neurofeedback, and clinical and gut-directedhypnosis, EMDR, CBT for Insomnia, and subjects related to creativity and arttherapy, and the role of nutrition in mental health.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1788341/c1a-rqx3-6zd3q641bjmo-yz9hi9.png"></itunes:image>
                                                                            <itunes:duration>00:36:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Dr. Gevirtz discusses the Neurobiology supporting Interoception]]>
                </title>
                <pubDate>Thu, 29 Aug 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1786493</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/dr-gevirtz-discusses-the-neurobiology-supporting-interoception</link>
                                <description>
                                            <![CDATA[<p>Dr. Richard Gevirtz joins Matt to discuss interoception research and how it impacts our nervous system and mental health.</p>
<p>Dr. Richard Gevirtz is a Distinguished Professor of Psychology for the California School of Professional Psychology at Alliant International University in San Diego. He has been in involved in research and clinical work in applied psychophysiology and biofeedback for the last 30 years and served as the president of the Association for Applied Psychophysiology and Biofeedback, 2006-2007. His primary research interests are in understanding the physiological and psychological mediators involved in disorders such as chronic muscle pain, fibromyalgia, and gastrointestinal pain. In this vein, he has studied applications of heart rate variability biofeedback for anxiety, pain, gastrointestinal, cardiac rehabilitation, and other disorders. He is the author of many journal articles and chapters on these topics. He also maintains a part time clinical practice treating patients with anxiety and stress related disorders. https://www.alliant.edu/faculty/richard-gevirtz</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dr. Richard Gevirtz joins Matt to discuss interoception research and how it impacts our nervous system and mental health.
Dr. Richard Gevirtz is a Distinguished Professor of Psychology for the California School of Professional Psychology at Alliant International University in San Diego. He has been in involved in research and clinical work in applied psychophysiology and biofeedback for the last 30 years and served as the president of the Association for Applied Psychophysiology and Biofeedback, 2006-2007. His primary research interests are in understanding the physiological and psychological mediators involved in disorders such as chronic muscle pain, fibromyalgia, and gastrointestinal pain. In this vein, he has studied applications of heart rate variability biofeedback for anxiety, pain, gastrointestinal, cardiac rehabilitation, and other disorders. He is the author of many journal articles and chapters on these topics. He also maintains a part time clinical practice treating patients with anxiety and stress related disorders. https://www.alliant.edu/faculty/richard-gevirtz]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Dr. Gevirtz discusses the Neurobiology supporting Interoception]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dr. Richard Gevirtz joins Matt to discuss interoception research and how it impacts our nervous system and mental health.</p>
<p>Dr. Richard Gevirtz is a Distinguished Professor of Psychology for the California School of Professional Psychology at Alliant International University in San Diego. He has been in involved in research and clinical work in applied psychophysiology and biofeedback for the last 30 years and served as the president of the Association for Applied Psychophysiology and Biofeedback, 2006-2007. His primary research interests are in understanding the physiological and psychological mediators involved in disorders such as chronic muscle pain, fibromyalgia, and gastrointestinal pain. In this vein, he has studied applications of heart rate variability biofeedback for anxiety, pain, gastrointestinal, cardiac rehabilitation, and other disorders. He is the author of many journal articles and chapters on these topics. He also maintains a part time clinical practice treating patients with anxiety and stress related disorders. https://www.alliant.edu/faculty/richard-gevirtz</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1786493/c1e-dr92f6j6n6s3j79p-0vdk1xk0szm8-ql17am.mp3" length="50869283"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Dr. Richard Gevirtz joins Matt to discuss interoception research and how it impacts our nervous system and mental health.
Dr. Richard Gevirtz is a Distinguished Professor of Psychology for the California School of Professional Psychology at Alliant International University in San Diego. He has been in involved in research and clinical work in applied psychophysiology and biofeedback for the last 30 years and served as the president of the Association for Applied Psychophysiology and Biofeedback, 2006-2007. His primary research interests are in understanding the physiological and psychological mediators involved in disorders such as chronic muscle pain, fibromyalgia, and gastrointestinal pain. In this vein, he has studied applications of heart rate variability biofeedback for anxiety, pain, gastrointestinal, cardiac rehabilitation, and other disorders. He is the author of many journal articles and chapters on these topics. He also maintains a part time clinical practice treating patients with anxiety and stress related disorders. https://www.alliant.edu/faculty/richard-gevirtz]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1786493/c1a-rqx3-1p0kzokxho6o-ucvels.png"></itunes:image>
                                                                            <itunes:duration>00:51:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Hannah Brinkman talks Substance Use and Heart Rate Variability]]>
                </title>
                <pubDate>Thu, 22 Aug 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1782323</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/hannah-brinkman-talks-substance-use-and-heart-rate-variability</link>
                                <description>
                                            <![CDATA[<p>In this episode, Hannah Brinkman joins Matt to discuss her research and clinical work with substance use and heart rate variability biofeedback. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Hannah Brinkman joins Matt to discuss her research and clinical work with substance use and heart rate variability biofeedback. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Hannah Brinkman talks Substance Use and Heart Rate Variability]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Hannah Brinkman joins Matt to discuss her research and clinical work with substance use and heart rate variability biofeedback. </p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1782323/c1e-qqkot2r17xb7j9j3-9j50z153uw4p-eppmb8.mp3" length="39102595"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Hannah Brinkman joins Matt to discuss her research and clinical work with substance use and heart rate variability biofeedback. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1782323/c1a-rqx3-34kgr9kxh8g9-htny8s.png"></itunes:image>
                                                                            <itunes:duration>00:39:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Rabeea Maqsood talks Ultra-Short-Term HRV and Combat Related Traumatic Injury]]>
                </title>
                <pubDate>Thu, 15 Aug 2024 06:00:00 +0000</pubDate>
                <dc:creator>Optimal HRV</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/10649/episode/1782162</guid>
                                    <link>https://heart-rate-variability-podcast.castos.com/episodes/rabeea-maqsood-talks-ultra-short-term-hrv-and-combat-related-traumatic-injury</link>
                                <description>
                                            <![CDATA[<p>In this episode, Rabeea Maqsood joins Matt to discuss her research on Ultra-Short-Term Heart Rate Variability and Combat-Related Traumatic Injury.</p>
<p>Learn more about Rabeea's work: https://staffprofiles.bournemouth.ac.uk/display/rmaqsood</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[In this episode, Rabeea Maqsood joins Matt to discuss her research on Ultra-Short-Term Heart Rate Variability and Combat-Related Traumatic Injury.
Learn more about Rabeea's work: https://staffprofiles.bournemouth.ac.uk/display/rmaqsood]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Rabeea Maqsood talks Ultra-Short-Term HRV and Combat Related Traumatic Injury]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>In this episode, Rabeea Maqsood joins Matt to discuss her research on Ultra-Short-Term Heart Rate Variability and Combat-Related Traumatic Injury.</p>
<p>Learn more about Rabeea's work: https://staffprofiles.bournemouth.ac.uk/display/rmaqsood</p>]]>
                </content:encoded>
                                    <enclosure url="https://episodes.castos.com/5f1895f32d2494-55483898/1782162/c1e-1w95ij0x7zc4wx6w-z3z9qm0wt1k-jvi5mj.mp3" length="43056578"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[In this episode, Rabeea Maqsood joins Matt to discuss her research on Ultra-Short-Term Heart Rate Variability and Combat-Related Traumatic Injury.
Learn more about Rabeea's work: https://staffprofiles.bournemouth.ac.uk/display/rmaqsood]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/5f1895f32d2494-55483898/images/1782162/c1a-rqx3-wwzmqr39iz29-cnwr0f.png"></itunes:image>
                                                                            <itunes:duration>00:44:42</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Optimal HRV]]>
                </itunes:author>
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