Paced breathing increases the redundancy of cardiorespiratory control in healthy individuals and chronic heart failure patients

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Abstract

Synergy and redundancy are concepts that suggest, respectively, adaptability and fault tolerance of systems with complex behavior. This study computes redundancy/synergy in bivariate systems formed by a target X and a driver Y according to the predictive information decomposition approach and partial information decomposition framework based on the minimal mutual information principle. The two approaches assess the redundancy/synergy of past of X and Y in reducing the uncertainty of the current state of X. The methods were applied to evaluate the interactions between heart and respiration in healthy young subjects (n = 19) during controlled breathing at 10, 15 and 20 breaths/minute and in two groups of chronic heart failure patients during paced respiration at 6 (n = 9) and 15 (n = 20) breaths/minutes from spontaneous beat-to-beat fluctuations of heart period and respiratory signal. Both methods suggested that slowing respiratory rate below the spontaneous frequency increases redundancy of cardiorespiratory control in both healthy and pathological groups, thus possibly improving fault tolerance of the cardiorespiratory control. The two methods provide markers complementary to respiratory sinus arrhythmia and the strength of the linear coupling between heart period variability and respiration in describing the physiology of the cardiorespiratory reflex suitable to be exploited in various pathophysiological settings.

Original languageEnglish
Article number949
JournalEntropy
Volume20
Issue number12
DOIs
Publication statusPublished - Dec 1 2018

Fingerprint

redundancy
breathing
respiration
fault tolerance
synchronism
respiratory rate
arrhythmia
decomposition
sinuses
reflexes
physiology
markers
interactions

Keywords

  • Autonomic nervous system
  • Bivariate dynamical stochastic system
  • Cardiorespiratory coupling
  • Generalized mutual information
  • Heart rate variability
  • Interaction self-information
  • Linear regression model
  • Partial information decomposition
  • Synergy

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

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abstract = "Synergy and redundancy are concepts that suggest, respectively, adaptability and fault tolerance of systems with complex behavior. This study computes redundancy/synergy in bivariate systems formed by a target X and a driver Y according to the predictive information decomposition approach and partial information decomposition framework based on the minimal mutual information principle. The two approaches assess the redundancy/synergy of past of X and Y in reducing the uncertainty of the current state of X. The methods were applied to evaluate the interactions between heart and respiration in healthy young subjects (n = 19) during controlled breathing at 10, 15 and 20 breaths/minute and in two groups of chronic heart failure patients during paced respiration at 6 (n = 9) and 15 (n = 20) breaths/minutes from spontaneous beat-to-beat fluctuations of heart period and respiratory signal. Both methods suggested that slowing respiratory rate below the spontaneous frequency increases redundancy of cardiorespiratory control in both healthy and pathological groups, thus possibly improving fault tolerance of the cardiorespiratory control. The two methods provide markers complementary to respiratory sinus arrhythmia and the strength of the linear coupling between heart period variability and respiration in describing the physiology of the cardiorespiratory reflex suitable to be exploited in various pathophysiological settings.",
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author = "Alberto Porta and Roberto Maestri and Vlasta Bari and {De Maria}, Beatrice and Beatrice Cairo and Emanuele Vaini and {La Rovere}, {Maria Teresa} and Pinna, {Gian Domenico}",
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AU - Porta, Alberto

AU - Maestri, Roberto

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AU - De Maria, Beatrice

AU - Cairo, Beatrice

AU - Vaini, Emanuele

AU - La Rovere, Maria Teresa

AU - Pinna, Gian Domenico

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