Randomized controlled trial of heart rate variability biofeedback in cardiac autonomic and hostility among patients with coronary artery disease

Lin, I-Mei; Fan, Sheng–Yu; Lu, Hsueh-Chen; Lin, Tsung‐Hsien; Chu, Chih‐Sheng; Kuo, Hsuan-Fu; Lee, Chee-Siong; Lu, Ye-Hsu

doi:10.1016/j.brat.2015.05.001

Cited by 32 publications

(26 citation statements)

References 36 publications

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“…Biofeedback has been demonstrated to restore autonomic dysfunction in patients with cardiovascular disorders [15]. For example, in a group of patients with coronary artery disease, an HRV biofeedback intervention increased resting HRV, reduced blood pressure, and also decreased hostility behavior [32].…”

Section: Discussionmentioning

confidence: 99%

The influence of heart rate variability biofeedback on cardiac regulation and functional brain connectivity

Schumann

Cruz

Köhler

et al. 2020

Preprint

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Background Heart rate variability (HRV) biofeedback has beneficial influence on perceived stress and emotion regulation. In this study, we aimed to investigate the effect of an HRV-biofeedback intervention on resting functional brain connectivity in healthy subjects. Methods The 8-week HRV biofeedback training was carried out in five sessions per week using a mobile app. A control group played jump‘n’run games instead of the training. Functional magnetic resonance imaging was conducted before and after the intervention in both groups. To compute resting state functional connectivity (RSFC), we defined regions of interest in the ventral medial prefrontal cortex (VMPFC) and a total of 260 independent anatomical regions for network-based analysis. Additionally, we estimated co-variations of dynamic functional connectivity of the VMPFC and temporal changes of HRV during the resting state recording in all participants before the intervention. Results Temporal changes of HRV co-varied with dynamic changes of prefrontal connectivity, especially to the middle cingulate cortex, left anterior insula, right amygdala, supplementary motor area, dorsal and ventral lateral prefrontal regions. The biofeedback group showed a drop in heart rate by 5.5 beats/min and an increased HRV by 33% after the intervention. Functional connectivity of the VMPFC increased mainly to the right anterior insula, the dorsal anterior cingulate cortex and the dorsolateral prefrontal cortex after biofeedback intervention when compared to changes in the control group. Network-based statistic showed that biofeedback had an influence on a broad functional network of brain regions. Conclusion Our results demonstrate that increased vagal modulation induced by HRV-biofeedback is accompanied by changes in functional brain connectivity during resting state.

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Section: Discussionmentioning

confidence: 99%

The influence of heart rate variability biofeedback on cardiac regulation and functional brain connectivity

Schumann

Cruz

Köhler

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…As mentioned previously, HF-HRV can be improved via biofeedback, and is effective at reducing hostility among some hostile individuals (Lin et al, 2015). Exercise (Iellamo et al, 2000) and mindfulness meditation (Krygier et al, 2013) are also associated with improvements in HF-HRV.…”

Section: Discussionmentioning

confidence: 93%

“…Hostile individuals may benefit from high HF-HRV when confronted with hostile thoughts and feelings. Indeed, hostile individuals who were exposed to a biofeedback training program that improved HF-HRV demonstrated lower hostility one month after the treatment (Lin et al, 2015). However, it is unclear whether stress-induced HF-HRV changes the association between hostility and biological outcomes such as cortisol output.…”

Section: Introductionmentioning

confidence: 99%

Trait hostility and cortisol sensitivity following a stressor: The moderating role of stress-induced heart rate variability

Murdock

LeRoy

Fagundes

2017

Psychoneuroendocrinology

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Hostility and adverse health outcomes are inconsistently associated in the literature. Self-regulation and cortisol secretion may play important roles in differentiating those hostile individuals who are at greater risk of negative health outcomes from those who are not. In the present study, we sought to examine if having high self-regulatory strength, as indexed by high stress-induced high-frequency heart rate variability (HF-HRV), buffered the effects of hostility on cortisol secretion. Participants (N = 213) completed a self-report measure of hostility and measurement of HF-HRV at rest and during a social stress task. Saliva samples were collected immediately before (one sample), and over a 50 minute period after (six samples), the stress task to evaluate cortisol secretion over time. Hostile individuals were less likely to demonstrate cortisol sensitivity (i.e., high change in cortisol over time) when they had high stress-induced HF-HRV. Such findings are important given that cortisol sensitivity increases risk of metabolic and inflammatory disorders via glucocorticoid resistance and inflammation. Therefore, interventions that increase stress-induced HF-HRV may reduce the impact of hostility on health outcomes.

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“…The SCR was collected by a biofeedback machine with the ProComp InfinitiTM system (Thought Technology Ltd., Montreal, Quebec, Canada), which was installed on a laptop [28]. The SCR is an index of sympathetic nervous system activation and emotional arousal [29].…”

Section: Physiological Measurementsmentioning

confidence: 99%

“…The SCR results were analyzed using the ProComp Infiniti SC analysis module (Thought Technology Ltd.). Fast Fourier transformation was used to transform the skin conductance level data to provide an SCR by means of a pass digital filter (0.05 Hz-1 kHz) [28]. The amplifier was connected to the computer through an optical connection, and the peak-to-base index was used as an indicator of SCR (e.g., the difference between the maximum value recorded in the time frame of 8 s post stimulus and the baseline calculated on a trial-by-trial basis) [30,31].…”

Section: Physiological Measurementsmentioning

confidence: 99%

The Effect of Age, Gender, and Job on Skin Conductance Response among Smartphone Users Who are Prohibited from Using Their Smartphone

Hsieh

Hsu

Lin

et al. 2020

IJERPH

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The smartphone is a widely used and rapidly growing phenomenon worldwide, and problematic smartphone use is common in our society. This study’s objective was to examine the gender difference of baseline and post-intervention skin conductance response (SCR) among smartphone users and explore the relationships among problematic smartphone use level, anxiety level, and SCR changes by evaluating SCR, the Zung Self-Rating Anxiety Scale score, and the Chinese version of the Smartphone Addiction Inventory (SPAI) score in a one-group baseline and post-test design. Sixty participants were recruited from two communities, and data were collected from April to June 2017. There was a significant difference in terms of SCR changes between young males and old males and between young females and old females. Additionally, the SCR changes in young females were significantly greater than those in young males with twofold mean difference. This study provides strong evidence supporting the effectiveness of SCR measurement for assessing problematic smartphone use (PSU) anxiety when users are in a withdrawal-like state. The SCR measurement can help healthcare providers identify cases with risk factors of PSU for early intervention.

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Randomized controlled trial of heart rate variability biofeedback in cardiac autonomic and hostility among patients with coronary artery disease

Cited by 32 publications

References 36 publications

The influence of heart rate variability biofeedback on cardiac regulation and functional brain connectivity

The influence of heart rate variability biofeedback on cardiac regulation and functional brain connectivity

Trait hostility and cortisol sensitivity following a stressor: The moderating role of stress-induced heart rate variability

The Effect of Age, Gender, and Job on Skin Conductance Response among Smartphone Users Who are Prohibited from Using Their Smartphone

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