Literature DB >> 22691492

Phase transitions in physiologic coupling.

Ronny P Bartsch1, Aicko Y Schumann, Jan W Kantelhardt, Thomas Penzel, Plamen Ch Ivanov.   

Abstract

Integrated physiological systems, such as the cardiac and the respiratory system, exhibit complex dynamics that are further influenced by intrinsic feedback mechanisms controlling their interaction. To probe how the cardiac and the respiratory system adjust their rhythms, despite continuous fluctuations in their dynamics, we study the phase synchronization of heartbeat intervals and respiratory cycles. The nature of this interaction, its physiological and clinical relevance, and its relation to mechanisms of neural control is not well understood. We investigate whether and how cardiorespiratory phase synchronization (CRPS) responds to changes in physiological states and conditions. We find that the degree of CRPS in healthy subjects dramatically changes with sleep-stage transitions and exhibits a pronounced stratification pattern with a 400% increase from rapid eye movement sleep and wake, to light and deep sleep, indicating that sympatho-vagal balance strongly influences CRPS. For elderly subjects, we find that the overall degree of CRPS is reduced by approximately 40%, which has important clinical implications. However, the sleep-stage stratification pattern we uncover in CRPS does not break down with advanced age, and surprisingly, remains stable across subjects. Our results show that the difference in CRPS between sleep stages exceeds the difference between young and elderly, suggesting that sleep regulation has a significantly stronger effect on cardiorespiratory coupling than healthy aging. We demonstrate that CRPS and the traditionally studied respiratory sinus arrhythmia represent different aspects of the cardiorespiratory interaction, and that key physiologic variables, related to regulatory mechanisms of the cardiac and respiratory systems, which influence respiratory sinus arrhythmia, do not affect CRPS.

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Year:  2012        PMID: 22691492      PMCID: PMC3387128          DOI: 10.1073/pnas.1204568109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  29 in total

1.  Behavioral-independent features of complex heartbeat dynamics.

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Journal:  Phys Rev Lett       Date:  2001-06-25       Impact factor: 9.161

2.  Sleep-wake differences in scaling behavior of the human heartbeat: analysis of terrestrial and long-term space flight data.

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Journal:  Europhys Lett       Date:  1999-12-01       Impact factor: 1.947

3.  The effects of specific respiratory rates on heart rate and heart rate variability.

Authors:  Hye-Sue Song; Paul M Lehrer
Journal:  Appl Psychophysiol Biofeedback       Date:  2003-03

4.  Experimental evidence for phase synchronization transitions in the human cardiorespiratory system.

Authors:  Ronny Bartsch; Jan W Kantelhardt; Thomas Penzel; Shlomo Havlin
Journal:  Phys Rev Lett       Date:  2007-02-01       Impact factor: 9.161

5.  Fractal scale-invariant and nonlinear properties of cardiac dynamics remain stable with advanced age: a new mechanistic picture of cardiac control in healthy elderly.

Authors:  Daniel T Schmitt; Plamen Ch Ivanov
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2007-08-01       Impact factor: 3.619

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Journal:  Nature       Date:  1998-03-19       Impact factor: 49.962

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Journal:  Sleep       Date:  1993-01       Impact factor: 5.849

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Journal:  N Engl J Med       Date:  1993-02-04       Impact factor: 91.245

9.  Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study.

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Journal:  Circulation       Date:  1994-08       Impact factor: 29.690

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Authors:  P Bernaola-Galván; P C Ivanov; L A Nunes Amaral; H E Stanley
Journal:  Phys Rev Lett       Date:  2001-10-02       Impact factor: 9.161

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  52 in total

1.  Effect of Closed-Loop Vibration Stimulation on Heart Rhythm during Naps.

Authors:  Sang Ho Choi; Heenam Yoon; Hyung Won Jin; Hyun Bin Kwon; Seong Min Oh; Yu Jin Lee; Kwang Suk Park
Journal:  Sensors (Basel)       Date:  2019-09-24       Impact factor: 3.576

2.  Detecting phase-amplitude coupling with high frequency resolution using adaptive decompositions.

Authors:  Benjamin Pittman-Polletta; Wan-Hsin Hsieh; Satvinder Kaur; Men-Tzung Lo; Kun Hu
Journal:  J Neurosci Methods       Date:  2014-01-19       Impact factor: 2.390

3.  Testing pattern synchronization in coupled systems through different entropy-based measures.

Authors:  Peng Li; Chengyu Liu; Xinpei Wang; Liping Li; Lei Yang; Yongcai Chen; Changchun Liu
Journal:  Med Biol Eng Comput       Date:  2013-01-22       Impact factor: 2.602

4.  Synchronization of time-delayed chemically coupled burst-spiking neurons with correlated noises.

Authors:  X Zhang; J Yang; F P Wu; W J Wu; M Jiang; L Chen; H J Wang; G X Qi; H B Huang
Journal:  Eur Phys J E Soft Matter       Date:  2014-06-26       Impact factor: 1.890

5.  Delay-correlation landscape reveals characteristic time delays of brain rhythms and heart interactions.

Authors:  Aijing Lin; Kang K L Liu; Ronny P Bartsch; Plamen Ch Ivanov
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-05-13       Impact factor: 4.226

6.  Spurious cross-frequency amplitude-amplitude coupling in nonstationary, nonlinear signals.

Authors:  Chien-Hung Yeh; Men-Tzung Lo; Kun Hu
Journal:  Physica A       Date:  2016-07-15       Impact factor: 3.263

7.  Cardiovascular and cardiorespiratory phase synchronization in normovolemic and hypovolemic humans.

Authors:  Qingguang Zhang; Abhijit R Patwardhan; Charles F Knapp; Joyce M Evans
Journal:  Eur J Appl Physiol       Date:  2014-10-26       Impact factor: 3.078

8.  Effects of slow and regular breathing exercise on cardiopulmonary coupling and blood pressure.

Authors:  Zhengbo Zhang; Buqing Wang; Hao Wu; Xiaoke Chai; Weidong Wang; Chung-Kang Peng
Journal:  Med Biol Eng Comput       Date:  2016-05-18       Impact factor: 2.602

9.  Bupropion response on sleep quality in patients with depression: implications for increased cardiovascular disease risk.

Authors:  Preetam J Schramm; Russell E Poland; Uma Rao
Journal:  Eur Neuropsychopharmacol       Date:  2013-10-11       Impact factor: 4.600

10.  An electrocardiogram-based analysis evaluating sleep quality in patients with obstructive sleep apnea.

Authors:  John Harrington; Preetam J Schramm; Charles R Davies; Teofilo L Lee-Chiong
Journal:  Sleep Breath       Date:  2013-01-25       Impact factor: 2.816

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