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Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress

(2019) ENTROPY. 21(5).
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Abstract
Heart rate variability (HRV; variability of the RR interval of the electrocardiogram) results from the activity of several coexisting control mechanisms, which involve the influence of respiration (RESP) and systolic blood pressure (SBP) oscillations operating across multiple temporal scales and changing in different physiological states. In this study, multiscale information decomposition is used to dissect the physiological mechanisms related to the genesis of HRV in 78 young volunteers monitored at rest and during postural and mental stress evoked by head-up tilt (HUT) and mental arithmetics (MA). After representing RR, RESP and SBP at different time scales through a recently proposed method based on multivariate state space models, the joint information transfer TRESP,SBPRR is decomposed into unique, redundant and synergistic components, describing the strength of baroreflex modulation independent of respiration (USBPRR), nonbaroreflex (URESPRR) and baroreflex-mediated (RRESP,SBPRR) respiratory influences, and simultaneous presence of baroreflex and nonbaroreflex respiratory influences (SRESP,SBPRR), respectively. We find that fast (short time scale) HRV oscillationsrespiratory sinus arrhythmiaoriginate from the coexistence of baroreflex and nonbaroreflex (central) mechanisms at rest, with a stronger baroreflex involvement during HUT. Focusing on slower HRV oscillations, the baroreflex origin is dominant and MA leads to its higher involvement. Respiration influences independent on baroreflex are present at long time scales, and are enhanced during HUT.
Keywords
heart rate variability, information theory, time series analysis, entropy, redundancy, synergy, RESPIRATORY SINUS ARRHYTHMIA, ARTERIAL-PRESSURE, BAROREFLEX, CARDIOPULMONARY, PERIOD

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MLA
Krohova, Jana, et al. “Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and during Physiological Stress.” ENTROPY, vol. 21, no. 5, 2019.
APA
Krohova, J., Faes, L., Czippelova, B., Turianikova, Z., Mazgutova, N., Pernice, R., … Javorka, M. (2019). Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress. ENTROPY, 21(5).
Chicago author-date
Krohova, Jana, Luca Faes, Barbora Czippelova, Zuzana Turianikova, Nikoleta Mazgutova, Riccardo Pernice, Alessandro Busacca, Daniele Marinazzo, Sebastiano Stramaglia, and Michal Javorka. 2019. “Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and during Physiological Stress.” ENTROPY 21 (5).
Chicago author-date (all authors)
Krohova, Jana, Luca Faes, Barbora Czippelova, Zuzana Turianikova, Nikoleta Mazgutova, Riccardo Pernice, Alessandro Busacca, Daniele Marinazzo, Sebastiano Stramaglia, and Michal Javorka. 2019. “Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and during Physiological Stress.” ENTROPY 21 (5).
Vancouver
1.
Krohova J, Faes L, Czippelova B, Turianikova Z, Mazgutova N, Pernice R, et al. Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress. ENTROPY. 2019;21(5).
IEEE
[1]
J. Krohova et al., “Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress,” ENTROPY, vol. 21, no. 5, 2019.
@article{8617126,
  abstract     = {Heart rate variability (HRV; variability of the RR interval of the electrocardiogram) results from the activity of several coexisting control mechanisms, which involve the influence of respiration (RESP) and systolic blood pressure (SBP) oscillations operating across multiple temporal scales and changing in different physiological states. In this study, multiscale information decomposition is used to dissect the physiological mechanisms related to the genesis of HRV in 78 young volunteers monitored at rest and during postural and mental stress evoked by head-up tilt (HUT) and mental arithmetics (MA). After representing RR, RESP and SBP at different time scales through a recently proposed method based on multivariate state space models, the joint information transfer TRESP,SBPRR is decomposed into unique, redundant and synergistic components, describing the strength of baroreflex modulation independent of respiration (USBPRR), nonbaroreflex (URESPRR) and baroreflex-mediated (RRESP,SBPRR) respiratory influences, and simultaneous presence of baroreflex and nonbaroreflex respiratory influences (SRESP,SBPRR), respectively. We find that fast (short time scale) HRV oscillationsrespiratory sinus arrhythmiaoriginate from the coexistence of baroreflex and nonbaroreflex (central) mechanisms at rest, with a stronger baroreflex involvement during HUT. Focusing on slower HRV oscillations, the baroreflex origin is dominant and MA leads to its higher involvement. Respiration influences independent on baroreflex are present at long time scales, and are enhanced during HUT.},
  articleno    = {526},
  author       = {Krohova, Jana and Faes, Luca and Czippelova, Barbora and Turianikova, Zuzana and Mazgutova, Nikoleta and Pernice, Riccardo and Busacca, Alessandro and Marinazzo, Daniele and Stramaglia, Sebastiano and Javorka, Michal},
  issn         = {1099-4300},
  journal      = {ENTROPY},
  keywords     = {heart rate variability,information theory,time series analysis,entropy,redundancy,synergy,RESPIRATORY SINUS ARRHYTHMIA,ARTERIAL-PRESSURE,BAROREFLEX,CARDIOPULMONARY,PERIOD},
  language     = {eng},
  number       = {5},
  title        = {Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress},
  url          = {http://dx.doi.org/10.3390/e21050526},
  volume       = {21},
  year         = {2019},
}

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