Major component analysis of dynamic networks of physiologic organ interactions

Kang K.L. Liu, Ronny P. Bartsch, Qianli D.Y. Ma, Plamen Ch Ivanov

Research output: Contribution to journalConference articlepeer-review

39 Scopus citations

Abstract

The human organism is a complex network of interconnected organ systems, where the behavior of one system affects the dynamics of other systems. Identifying and quantifying dynamical networks of diverse physiologic systems under varied conditions is a challenge due to the complexity in the output dynamics of the individual systems and the transient and nonlinear characteristics of their coupling. We introduce a novel computational method based on the concept of time delay stability and major component analysis to investigate how organ systems interact as a network to coordinate their functions. We analyze a large database of continuously recorded multi-channel physiologic signals from healthy young subjects during night-time sleep. We identify a network of dynamic interactions between key physiologic systems in the human organism. Further, we find that each physiologic state is characterized by a distinct network structure with different relative contribution from individual organ systems to the global network dynamics. Specifically, we observe a gradual decrease in the strength of coupling of heart and respiration to the rest of the network with transition from wake to deep sleep, and in contrast, an increased relative contribution to network dynamics from chin and leg muscle tone and eye movement, demonstrating a robust association between network topology and physiologic function.

Original languageEnglish
Article number012013
JournalJournal of Physics: Conference Series
Volume640
Issue number1
DOIs
StatePublished - 28 Sep 2015
Event26th IUPAP Conference on Computational Physics, CCP 2014 - Boston, United States
Duration: 11 Aug 201414 Aug 2014

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