Heart Rate Variability Biofeedback Increased Autonomic Activation and Improved Symptoms of Depression and Insomnia among Patients with Major Depression Disorder

Lin, I-Mei; Fan, Sheng–Yu; Yen, Cheng‐Fang; Yeh, Yi-Chun; Tang, Tze-Chun; Huang, Mei-Feng; Liu, Tai‐Ling; Wang, Pengwei; Lin, Huang‐Chi; Tsai, Hsin–Yi; Tsai, Yan-Chr

doi:10.9758/cpn.2019.17.2.222

Cited by 77 publications

(59 citation statements)

References 32 publications

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“…Breathing at RF maximizes HR oscillations by creating a 0 degree phase shift between HR and respiration, while BP response from HR exhibit a 180 degree phase shift occurring at approximately 5-s delay as a result of mechanical response (Vaschillo, Vaschillo, & Lehrer, 2006). Similar to slow breathing at a set pace, RF breathing has emerged as a promising tool to enhance performance, reduce stress and anxiety (Jester, Rozek, & McKelley, 2019;Lehrer & Gevirtz, 2014) and positively influence clinical symptoms in a number of disorders including depression (Lin et al, 2019), asthma (Taghizadeh, Eslaminejad, & Raoufy, 2019), and prehypertension (Lin et al, 2012).…”

mentioning

confidence: 99%

Acute effects of resonance frequency breathing on cardiovascular regulation

Pagaduan

Kameneva

et al. 2019

Physiol Rep

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Acute slow breathing may have beneficial effects on cardiovascular regulation by affecting hemodynamics and the autonomic nervous system. Whether breathing at the resonance frequency (RF), a breathing rate that maximizes heart rate oscillations, induces differential effects to that of slow breathing is unknown. We compared the acute effects of breathing at either RF and RF + 1 breaths per minute on muscle sympathetic nervous activity (MSNA) and baroreflex function. Ten healthy men underwent MSNA, blood pressure (BP), and heart rate (HR) recordings while breathing for 10 min at their spontaneous breathing (SB) rate followed by 10 min at both RF and RF + 1 randomly assigned and separated by a 10‐min recovery. Breathing at either RF or RF + 1 induced similar changes in HR and HR variability, with increased low frequency and decreased high frequency oscillations (p < .001 for both). Both respiration rates decreased MSNA (−5.6 and −7.3 bursts per min for RF and RF + 1 p < .05), with the sympathetic bursts occurring more often during mid‐inspiration to early expiration (+57% and + 80%) and longer periods of silence between bursts were seen (p < .05 for RF + 1). Systolic BP was decreased only during RF (−4.6 mmHg, p < .05) but the decrease did not differ to that seen during RF + 1 (−3.1 mmHg). The sympathetic baroreflex function remained unchanged at either breathing rates. The slope of the cardiac baroreflex function was unaltered but the cardiac baroreflex efficiency was improved during both RF and RF + 1. Acute breathing at either RF or RF + 1 has similar hemodynamic and sympatho‐inhibitory effects in healthy men.

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confidence: 99%

Acute effects of resonance frequency breathing on cardiovascular regulation

Pagaduan

Kameneva

et al. 2019

Physiol Rep

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“…intervention for participants with major depression 49 , whilst another reported that combining psychotherapy with HRV-B was more effective in reducing symptoms of depression over a 6-…”

Section: Discussionmentioning

confidence: 99%

Feasibility and efficacy of the addition of heart rate variability biofeedback to a remote digital health intervention for depression

Economides¹,

Lehrer²,

Ranta³

et al. 2019

Preprint

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A continual rise in the prevalence of depression underscores the need for effective, long-lasting interventions that can be widely accessed. To address this, we created a comprehensive, smartphone-based, 8-week digital intervention comprising several evidence-based practices for adults with depression. Recently, there has been substantial support for heart rate variability biofeedback (HRV-B) as a primary or adjunct treatment for several mental health disorders, including depression. The objectives of this study were to determine if the addition of HRV-B to our original intervention was feasible and whether patients in the HRV-B (“enhanced”) intervention were more likely to experience clinically significant improvements in depressive symptoms than patients in our original (“standard”) intervention. In this quasi-experimental, matched subjects study, patients in the enhanced group (n = 48) completed a total average of 3.86 hours of HRV-B practice across 25.8 sessions, and were more likely to report a clinically significant improvement in PHQ-9 score post-intervention than participants in the standard group (n = 48), even after adjusting for differences in demographics and engagement between groups (adjusted OR = 3.44, 95% CI [1.28 – 9.26], p = 0.015). Our findings suggest that adding HRV-B to an app-based, smartphone-delivered, remote intervention for depression is feasible and may enhance treatment outcomes.

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“…Previous studies have consistently reported a decrease in HRV in depression [28], bipolar disorder, and schizophrenia [29]. Lin et al [30] reported that symptoms of depression and anxiety, sleep quality, and pre-sleep arousal were significanctly improved by HRV-biofeedback among patients with major depressive symptoms. Dysregulation of autonomic homeostasis has been reported in schizophrenia, and this is associated with the hypoactivity or hyperactivity of the ANS [31].…”

Section: Smartphone As a Biosensor Platformmentioning

confidence: 98%

Literature Review of the Usefulness of Smartphone for the Evaluation and Treatment of Mental Disorders

Woo¹,

Lee²,

Bahk³

2020

Mood Emot

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The drastic increase in mental illnesses is a global problem. Prompt improvement of symptoms through early intervention, analysis of drug efficacy, and evaluation of treatment compliance are key strategies to address this issue. However, the traditional diagnostic and therapeutic methods for mental illnesses entail assessments based on interviews or questionnaires, which require a lot of time and money. The widespread use of smartphones and their applications in recent years has made it easier to assess mental illnesses and access to treatment. However, the reliability and validity of use of smartphone applications as an assessment tool for mental illnesses has been questioned since these applications are largely based on the existing questionnaire assessment methods. To overcome these problems, use of biosensor-based smartphone applications for the diagnosis and assessment of mental illnesses is being studied. This study will introduce the current status of this approach and discuss the future prospects.

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Heart Rate Variability Biofeedback Increased Autonomic Activation and Improved Symptoms of Depression and Insomnia among Patients with Major Depression Disorder

Cited by 77 publications

References 32 publications

Acute effects of resonance frequency breathing on cardiovascular regulation

Acute effects of resonance frequency breathing on cardiovascular regulation

Feasibility and efficacy of the addition of heart rate variability biofeedback to a remote digital health intervention for depression

Literature Review of the Usefulness of Smartphone for the Evaluation and Treatment of Mental Disorders

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