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Heart Rate Variability Biofeedback and Mental Stress Myocardial Flow Reserve

2025· article· en· W4415401797 on OpenAlexafffund
Amit Shah, Paolo Raggi, Hua She, Arshed A. Quyyumi, Oleksiy Levantsevych, Maggie Johnson, Ernest Garcia, Marina Piccinelli, Rami Abdulbaki, Naser Abdelhadi, Belal Kaseer, J. P. Ginsberg, Viola Vaccarino, J. Douglas Bremner

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsCanadian VIGOUR CentreUniversity of Alberta
FundersNational Institutes of HealthUniversity of Alberta
KeywordsHeart rate variabilityBiofeedbackMental stressHeart rateAutonomic nervous system

Abstract

fetched live from OpenAlex

Importance: Heart rate variability biofeedback (HRVB) is a self-regulation intervention that targets autonomic nervous system activity through guided breathing and visualization. Investigating its effects on cardiovascular responses to psychological stress may clarify its therapeutic potential for patients with coronary artery disease (CAD). Objective: To examine the effects of HRVB on myocardial blood flow (MBF) changes during a mental stress challenge in individuals with CAD. Design, Setting, and Participants: This single-center pilot randomized clinical trial included participants aged 30 to 79 years with CAD recruited in a university hospital setting and enrolled from March 30 to November 9, 2016 (data were analyzed from January to August 2025 for final reporting). Participants were followed up for 2 months. Intervention: Six weeks of HRVB training and prescribed daily practice vs usual care (standard medical care with the intervention received after study completion). Main Outcomes and Measures: Myocardial blood flow changes after an arithmetic mental stress challenge, as measured by rubidium-82 positron emission tomography at baseline and again after 8 weeks. Linear mixed models examined the effects of HRVB on mental stress myocardial flow reserve (MFR), which is the ratio of MBF with mental stress to MBF at rest, while adjusting for baseline flow levels. Results: Data were analyzed from 21 participants (12 HRVB, 9 usual care) with mean (SD) age of 65 (6) years; 13 (61.9%) were male. In the HRVB group, the mean MFR with mental stress at baseline was 1.07 (95% CI, 0.94-1.22) and after the intervention was 1.16 (95% CI, 1.06-1.26). In the usual care group, the mean MFR with mental stress at baseline was 1.20 (95% CI, 1.05-1.38) and at the follow-up visit was 1.15 (95% CI, 0.94-1.40). While the within-group changes were not statistically significant, between-group difference in change from baseline to follow-up was significant. Specifically, the change in MFR in the HRVB group was 0.10 (95% CI, 0.01-0.19) units greater than the change in the usual care group (P = .03). Conclusions and Relevance: In this randomized clinical trial of participants with CAD, HRVB resulted in an increased MFR with mental stress compared with usual care. These results suggest potential benefits of HRVB during periods of mental stress and support the need for larger clinical trials to further investigate the efficacy of HRVB in cardiovascular disease prevention. Trial Registration: ClinicalTrials.gov Identifier: NCT02657382.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.289
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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