Physiologic systems dynamics, coupling and network interactions across the sleep-wake cycle

Plamen Ch Ivanov, Ronny P. Bartsch

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

We review recent progress in understanding fundamental aspects of physiologic regulation during wake and sleep based on modern data-driven, analytic, and computational approaches with focus on the complex dynamics of individual physiological systems, their transient forms of coupling, and the role of network interactions among physiological systems in generating states and functions at the integrated organism level. The presented empirical findings indicate that sleep-wake and circadian cycles do not simply modulate basic physiologic functions by generating rhythms with a fixed periodicity but influence physiological systems dynamics simultaneously over a broad range of time scales. Furthermore, transitions across physiologic states are characterized by modulation in the strength of physiologic coupling and by hierarchical reorganization in the network of interactions among physiological systems, indicating high-network flexibility in response to change in physiologic regulation. We underscore the importance of novel, integrative approaches to investigate physiological dynamics of individual systems across multiple scales and to quantify emergent global behaviors of networks of physiologic interactions to comprehensively understand physiologic state and function.

Original languageEnglish
Title of host publicationMethodological Approaches for Sleep and Vigilance Research
PublisherElsevier
Pages59-100
Number of pages42
ISBN (Electronic)9780323852357
ISBN (Print)9780323903349
DOIs
StatePublished - 1 Jan 2021

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Inc. All rights reserved.

Keywords

  • Cardiac dynamics
  • Cardiorespiratory coupling
  • Complexity
  • Network physiology
  • Nonlinearity
  • Phase synchronization
  • Respiration
  • Scaling
  • Temporal correlations
  • Time delay

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