The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges

The field of Network Physiology aims to advance our understanding of how physiological systems and sub-systems interact to generate a variety of behaviors and distinct physiological states, to optimize the organism's functioning, and to maintain health. Within this framework, which considers th...

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Main Authors: Klaus Lehnertz, Timo Bröhl, Thorsten Rings
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2020.598694/full
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author Klaus Lehnertz
Klaus Lehnertz
Klaus Lehnertz
Timo Bröhl
Timo Bröhl
Thorsten Rings
Thorsten Rings
author_facet Klaus Lehnertz
Klaus Lehnertz
Klaus Lehnertz
Timo Bröhl
Timo Bröhl
Thorsten Rings
Thorsten Rings
author_sort Klaus Lehnertz
collection DOAJ
description The field of Network Physiology aims to advance our understanding of how physiological systems and sub-systems interact to generate a variety of behaviors and distinct physiological states, to optimize the organism's functioning, and to maintain health. Within this framework, which considers the human organism as an integrated network, vertices are associated with organs while edges represent time-varying interactions between vertices. Likewise, vertices may represent networks on smaller spatial scales leading to a complex mixture of interacting homogeneous and inhomogeneous networks of networks. Lacking adequate analytic tools and a theoretical framework to probe interactions within and among diverse physiological systems, current approaches focus on inferring properties of time-varying interactions—namely strength, direction, and functional form—from time-locked recordings of physiological observables. To this end, a variety of bivariate or, in general, multivariate time-series-analysis techniques, which are derived from diverse mathematical and physical concepts, are employed and the resulting time-dependent networks can then be further characterized with methods from network theory. Despite the many promising new developments, there are still problems that evade from a satisfactory solution. Here we address several important challenges that could aid in finding new perspectives and inspire the development of theoretic and analytical concepts to deal with these challenges and in studying the complex interactions between physiological systems.
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spelling doaj.art-b705f05dcc5a48058cac272f525ef59d2022-12-21T23:17:18ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2020-12-011110.3389/fphys.2020.598694598694The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological ChallengesKlaus Lehnertz0Klaus Lehnertz1Klaus Lehnertz2Timo Bröhl3Timo Bröhl4Thorsten Rings5Thorsten Rings6Department of Epileptology, University of Bonn Medical Centre, Bonn, GermanyHelmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Bonn, GermanyInterdisciplinary Center for Complex Systems, University of Bonn, Bonn, GermanyDepartment of Epileptology, University of Bonn Medical Centre, Bonn, GermanyHelmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Bonn, GermanyDepartment of Epileptology, University of Bonn Medical Centre, Bonn, GermanyHelmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Bonn, GermanyThe field of Network Physiology aims to advance our understanding of how physiological systems and sub-systems interact to generate a variety of behaviors and distinct physiological states, to optimize the organism's functioning, and to maintain health. Within this framework, which considers the human organism as an integrated network, vertices are associated with organs while edges represent time-varying interactions between vertices. Likewise, vertices may represent networks on smaller spatial scales leading to a complex mixture of interacting homogeneous and inhomogeneous networks of networks. Lacking adequate analytic tools and a theoretical framework to probe interactions within and among diverse physiological systems, current approaches focus on inferring properties of time-varying interactions—namely strength, direction, and functional form—from time-locked recordings of physiological observables. To this end, a variety of bivariate or, in general, multivariate time-series-analysis techniques, which are derived from diverse mathematical and physical concepts, are employed and the resulting time-dependent networks can then be further characterized with methods from network theory. Despite the many promising new developments, there are still problems that evade from a satisfactory solution. Here we address several important challenges that could aid in finding new perspectives and inspire the development of theoretic and analytical concepts to deal with these challenges and in studying the complex interactions between physiological systems.https://www.frontiersin.org/articles/10.3389/fphys.2020.598694/fullcomplex networkstime-series-analysis techniquessurrogate conceptsinverse problemphysiological systemsorgan communications
spellingShingle Klaus Lehnertz
Klaus Lehnertz
Klaus Lehnertz
Timo Bröhl
Timo Bröhl
Thorsten Rings
Thorsten Rings
The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges
Frontiers in Physiology
complex networks
time-series-analysis techniques
surrogate concepts
inverse problem
physiological systems
organ communications
title The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges
title_full The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges
title_fullStr The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges
title_full_unstemmed The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges
title_short The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges
title_sort human organism as an integrated interaction network recent conceptual and methodological challenges
topic complex networks
time-series-analysis techniques
surrogate concepts
inverse problem
physiological systems
organ communications
url https://www.frontiersin.org/articles/10.3389/fphys.2020.598694/full
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