My Life in HRV Biofeedback Research

Lehrer, Paul M.

doi:10.1007/s10484-022-09535-5

Cited by 14 publications

(13 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It should be noted that while half of the HRVB group was instructed to proceed with the home-based HRVB training (without supervision), thereby prolonging their explicit training period, this did not result in an additional effect on the level of cardiac vagal modulation at T2. Given that several questions remain regarding the exact working mechanisms of HRVB and the most e cient training protocol (Lehrer, 2022;Lehrer et al, 2020;Pizzoli et al, 2021; Sevoz-Couche & Laborde, 2022), more information on these topics is needed to further explain the late-emerging effects found in this study.…”

Section: Discussionmentioning

confidence: 98%

The Physiological and Clinical-Behavioral Effects of Heart Rate Variability Biofeedback in Adolescents with Autism: A Pilot Randomized Controlled Trial

Thoen,

Alaerts,

Prinsen

et al. 2024

Appl Psychophysiol Biofeedback

View full text Add to dashboard Cite

BackgroundAdolescents with autism present lower levels of cardiac vagal modulation (CVM). It was hypothesized that Heart Rate Variability Biofeedback (HRVB) increases CVM in adolescents with autism, resulting in positive effects on physiological and psychosocial parameters. It was also hypothesized that home-based HRVB training is feasible. MethodsIn a single-blind, randomized sham-controlled pilot trial, adolescents with autism performed supervised HRVB (n = 24) or sham training (n = 20). Subsequently, half of the adolescents received HRVB training at home, whereas the other subset did not practice. Physiological, cortisol and behavioral data were collected during stress-provoking assessments before and after each training period. ResultsSupervised HRVB resulted in a late increase in CVM in adolescents with autism. Heart rate increased and cortisol decreased signi cantly immediately after supervised HRVB, but none of these effects remained after follow-up. Following supervised HRVB, no signi cant change in psychosocial functioning was found. Home-based HRVB was feasible, adolescents reported lower symptoms of stress, but a signi cant decrease in compliance rate was found. ConclusionHRVB is feasible and effective in adolescents with autism given the late-emerging increases in CVM and decrease in stress symptoms.Replicating this study with a larger sample and further exploration of the working mechanisms of HRVB are recommended.

show abstract

Section: Discussionmentioning

confidence: 98%

The Physiological and Clinical-Behavioral Effects of Heart Rate Variability Biofeedback in Adolescents with Autism: A Pilot Randomized Controlled Trial

Thoen,

Alaerts,

Prinsen

et al. 2024

Appl Psychophysiol Biofeedback

View full text Add to dashboard Cite

show abstract

“…The patients’ risk of cardiovascular morbidity and sudden cardiac death is increased (Härter et al, 2003 ; Shibeshi et al, 2007 ). HRV biofeedback targets sympathovagal imbalance and can alleviate hyperarousal (Lehrer et al, 2022 ). Results from a meta-analysis gives hint that HRV biofeedback has favorable effects in patients with panic disorder (Chalmers et al, 2014 ).…”

Section: Review Of Our Research and Findingsmentioning

confidence: 99%

Heart Rate Variability: A Measure of Cardiovascular Health and Possible Therapeutic Target in Dysautonomic Mental and Neurological Disorders

Siepmann

Weidner

Petrowski

et al. 2022

Appl Psychophysiol Biofeedback

View full text Add to dashboard Cite

Mental illness such as depression and anxiety as well as cerebrovascular disease are linked to impairment of neurocardiac function mediated by changes to the autonomic nervous system with increased sympathetic and decreased parasympathetic activity. Autonomic neurocardiac function can be evaluated by computing heart rate variability (HRV). Over the past decades, research has demonstrated the diagnostic value of HRV as independent predictor of cardiovascular mortality and as disease marker in progressive autonomic nervous system disorders such as Parkinson’s disease. Here we summarize our studies on HRV and its therapeutic modulation in the context of psychopharmacology as well as psychiatric and neurological disorders to honor the life of Professor Evgeny Vaschillo, the true pioneer of HRV research who sadly passed away on November 21st, 2020.

show abstract

“…The 10th cranial nerve called the vagus nerve is the main contributor of the parasympathetic nervous system (PNS) and the provides the main parasympathetic supply to the heart [Breit et al (2018); Bonaz et al (2017)]. A valuable metric of vagal or parasympathetic activity is Respiratory Sinus Arrhythmia (RSA) [Berntson et al (1993); Grossman et al (2004b); Hayano et al (1996); Berntson et al (1997); Eckberg (1983); Grossman and Taylor (2007); Porges (1992); Lehrer (2022)] which is the rhythmic modulation of the heart rate in response to respiration. The heart rate increases during inhalation, and decreases during exhalation, and this phenomenon has been associated with the efficiency of pulmonary gas exchange [Hirsch and Bishop (1981); Hayano et al (1996); Giardino et al (2003)].…”

Section: Introductionmentioning

confidence: 99%

“…(1996) ; Berntson et al. (1997) ; Eckberg (1983) ; Grossman and Taylor (2007) ; Porges (1992) ; Lehrer (2022) ] which is the rhythmic modulation of the heart rate in response to respiration. The heart rate increases during inhalation, and decreases during exhalation, and this phenomenon has been associated with the efficiency of pulmonary gas exchange [ Hirsch and Bishop (1981) ; Hayano et al.…”

Section: Introductionmentioning

confidence: 99%

Heart rate variability during mindful breathing meditation

Natarajan

2023

Front. Physiol.

View full text Add to dashboard Cite

We discuss Heart Rate Variability (HRV) measured during mindful breathing meditation. We provide a pedagogical computation of two commonly used heart rate variability metrics, i.e. the root mean square of successive differences (RMSSD) and the standard deviation of RR intervals (SDRR), in terms of Fourier components. It is shown that the root mean square of successive differences preferentially weights higher frequency Fourier modes, making it unsuitable as a biosignal for mindful breathing meditation which encourages slow breathing. We propose a new metric called the autonomic balance index (ABI) which uses Respiratory Sinus Arrhythmia to quantify the fraction of heart rate variability contributed by the parasympathetic nervous system. We apply this metric to heart rate variability data collected during two different meditation techniques, and show that the autonomic balance index is significantly elevated during mindful breathing, making it a good signal for biofeedback during meditation sessions.

show abstract

My Life in HRV Biofeedback Research

Cited by 14 publications

References 77 publications

The Physiological and Clinical-Behavioral Effects of Heart Rate Variability Biofeedback in Adolescents with Autism: A Pilot Randomized Controlled Trial

The Physiological and Clinical-Behavioral Effects of Heart Rate Variability Biofeedback in Adolescents with Autism: A Pilot Randomized Controlled Trial

Heart Rate Variability: A Measure of Cardiovascular Health and Possible Therapeutic Target in Dysautonomic Mental and Neurological Disorders

Heart rate variability during mindful breathing meditation

Contact Info

Product

Resources

About