A computational physiology approach to personalized treatment models

The beneficial effects of slow breathing on the human cardiovascular system

Maria Fonoberova, Igor Mezić, Jennifer F. Buckman, Vladimir A. Fonoberov, Adriana Mezić, Evgeny G. Vaschillo, Eun-Young Mun, Bronya Vaschillo, Marsha E. Bates

Research output: Contribution to journalArticleResearchpeer-review

12 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)H1073-H1091
JournalAmerican Journal of Physiology - Heart and Circulatory Physiology
Volume307
Issue number7
DOIs
StatePublished - 1 Oct 2014

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Cardiovascular System
Respiration
Blood Pressure
Baroreflex
Therapeutics
Heart Rate
Individuality
Calibration
Theoretical Models
Asthma
Depression
Costs and Cost Analysis

Keywords

  • Adaptability
  • Baroreflex
  • Heart rate variability biofeedback
  • Power spectral density
  • Respiration
  • Respiratory sinus arrhythmia

Cite this

Fonoberova, Maria ; Mezić, Igor ; Buckman, Jennifer F. ; Fonoberov, Vladimir A. ; Mezić, Adriana ; Vaschillo, Evgeny G. ; Mun, Eun-Young ; Vaschillo, Bronya ; Bates, Marsha E. / A computational physiology approach to personalized treatment models : The beneficial effects of slow breathing on the human cardiovascular system. In: American Journal of Physiology - Heart and Circulatory Physiology. 2014 ; Vol. 307, No. 7. pp. H1073-H1091.
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A computational physiology approach to personalized treatment models : The beneficial effects of slow breathing on the human cardiovascular system. / Fonoberova, Maria; Mezić, Igor; Buckman, Jennifer F.; Fonoberov, Vladimir A.; Mezić, Adriana; Vaschillo, Evgeny G.; Mun, Eun-Young; Vaschillo, Bronya; Bates, Marsha E.

In: American Journal of Physiology - Heart and Circulatory Physiology, Vol. 307, No. 7, 01.10.2014, p. H1073-H1091.

Research output: Contribution to journalArticleResearchpeer-review

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