33. How Your Natural Skills as a Therapist Help Improve HRV and How to Strengthen The Impact

Heart rate variability (HRV) plays a crucial role in emotional regulation and mental health. Research shows that higher HRV is linked to improved well-being, making it an important consideration for therapists. In this episode, Brenda continues the discussion on HRV, exploring how it connects to psychotherapy and how clinicians can integrate it into their practice. In this episode, Brenda reviewed an article written by Dr. Donald Moss who highlights how the vagus nerve acts as a “two-way highway” between the brain, heart, and gut, directly influencing stress regulation, emotional flexibility, and social engagement. Brenda reviews his insights and discusses how HRV can be improved through practical therapeutic approaches. Deb Dana, known for applying Porges’ Polyvagal Theory to therapy, reinforces his concept of neuroception—our subconscious ability to detect safety or danger through nonverbal cues like tone of voice, facial expressions, and body language. When clients feel safe, they are better able to regulate emotions and engage in therapy more effectively. Brenda emphasizes that therapists can support HRV and mental well-being by: Creating a safe and attuned therapeutic environment Encouraging co-regulation and reliable relationships Engaging in shared activities that foster connection Even without biofeedback tools, therapists naturally enhance HRV by fostering safety and connection in their sessions. As Brenda continues to explore HRV in upcoming episodes, she will dive deeper into how clinicians can recognize and support physiological regulation in their clients, leading to better therapeutic outcomes. www.connectiontherapypodcast.com Follow Brenda on Instagram @theconnectiontherapypodcast   References: Deb Dana (2018). The Polyvagal Theory in Therapy: Engaging the Rhythm of Regulation. WW Norton & Company, Ltd. Moss, D. (2025). Brain-Heart Interactions and Optimizing Psychotherapy. Applied Psychophysiology and Biofeedback, Preprints, 1–8. https://doi-org.pgi.idm.oclc.org/10.1007/s10484-025-09692-3