ArticleAmerican journal of physiology. Heart and circulatory physiology2014
A computational physiology approach to personalized treatment models: the beneficial effects of slow breathing on the human cardiovascular system.
Article in American journal of physiology. Heart and circulatory physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- Effects of arousal modulation via resonance breathing on craving and affect in women with substance use disorder.Addictive behaviors · 2022Trial
- Autonomic Non-Responsiveness in HRV Biofeedback: A Narrative Conceptual Review and Future Directions for AI-Guided Closed-Loop Adaptive Systems.Medicina (Kaunas, Lithuania) · 2026Review
- Functional Connectivity Within the Central Autonomic Network Increases During Resonance Paced Breathing at 0.1 Hz.Psychophysiology · 2026Article
- Sensitivity analysis of closed-loop one-chamber and four-chamber models with baroreflex.PLoS computational biology · 2024Article
- Computational modelling of cardiovascular pathophysiology to risk stratify commercial spaceflight.Nature reviews. Cardiology · 2024Review
- Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024Review
- A Novel Strategy to Fit and Validate Physiological Models: A Case Study of a Cardiorespiratory Model for Simulation of Incremental Aerobic Exercise.Diagnostics (Basel, Switzerland) · 2023Article
- Cardiorespiratory dynamics during respiratory maneuver in athletes.Frontiers in network physiology · 2023Article
- The Process of Heart Rate Variability, Resonance at 0.1 hz, and the Three Baroreflex Loops: A Tribute to Evgeny Vaschillo.Applied psychophysiology and biofeedback · 2022Article
- Heart Rate Variability Biofeedback for Substance Use Disorder: Health Policy Implications.Policy insights from the behavioral and brain sciences · 2022Article
- Can Heart Rate Variability Biofeedback Improve Athletic Performance? A Systematic Review.Journal of human kinetics · 2020Article
- Theoretical implications and clinical support for heart rate variability biofeedback for substance use disorders.Current opinion in psychology · 2019Review
- Impact of slow breathing on the blood pressure and subarachnoid space width oscillations in humans.Scientific reports · 2019Article
- Sex differences in stress-related alcohol use.Neurobiology of stress · 2019Review
- Current Evidence on Heart Rate Variability Biofeedback as a Complementary Anticraving Intervention.Journal of alternative and complementary medicine (New York, N.Y.) · 2018Review
- The Translational Value of Psychophysiology Methods and Mechanisms: Multilevel, Dynamic, Personalized.Journal of studies on alcohol and drugs · 2018Article
- Do the deceleration/acceleration capacities of heart rate reflect cardiac sympathetic or vagal activity? A model study.Medical & biological engineering & computing · 2016Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Heart rate variability biofeedback intervention involves slow breathing at a rate of ∼6 breaths/min (resonance breathing) to maximize respiratory and baroreflex effects on heart period oscillations. This intervention has wide-ranging clinical benefits and is gaining empirical support as an adjunct therapy for biobehavioral disorders, including asthma and depression. Yet, little is known about the system-level cardiovascular changes that occur during resonance breathing or the extent to which individuals differ in cardiovascular benefit. This study used a computational physiology approach to dynamically model the human cardiovascular system at rest and during resonance breathing. Noninvasive measurements of heart period, beat-to-beat systolic and diastolic blood pressure, and respiration period were obtained from 24 healthy young men and women. A model with respiration as input was parameterized to better understand how the cardiovascular processes that control variability in heart period and blood pressure change from rest to resonance breathing. The cost function used in model calibration corresponded to the difference between the experimental data and model outputs. A good match was observed between the data and model outputs (heart period, blood pressure, and corresponding power spectral densities). Significant improvements in several modeled cardiovascular functions (e.g., blood flow to internal organs, sensitivity of the sympathetic component of the baroreflex, ventricular elastance) were observed during resonance breathing. Individual differences in the magnitude and nature of these dynamic responses suggest that computational physiology may be clinically useful for tailoring heart rate variability biofeedback interventions for the needs of individual patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.