Network physiology reveals relations between network topology and physiological function
The human organism is an integrated network where complex physiological systems, each with its own regulatory mechanisms, continuously interact, and where failure of one system can trigger a breakdown of the entire network. Identifying and quantifying dynamical networks of diverse systems with diffe...
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Veröffentlicht in: | Nature communications 2012-02, Vol.3 (1), p.702-702, Article 702 |
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description | The human organism is an integrated network where complex physiological systems, each with its own regulatory mechanisms, continuously interact, and where failure of one system can trigger a breakdown of the entire network. Identifying and quantifying dynamical networks of diverse systems with different types of interactions is a challenge. Here we develop a framework to probe interactions among diverse systems, and we identify a physiological network. We find that each physiological state is characterized by a specific network structure, demonstrating a robust interplay between network topology and function. Across physiological states, the network undergoes topological transitions associated with fast reorganization of physiological interactions on time scales of a few minutes, indicating high network flexibility in response to perturbations. The proposed system-wide integrative approach may facilitate the development of a new field, Network Physiology.
Humans are a network of complex physiological systems, but quantifying these diverse systems is a challenge. This study presents a method to show that each physiological state is characterized by a specific network structure, demonstrating a connection between network topology and function. |
doi_str_mv | 10.1038/ncomms1705 |
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W.</au><au>Havlin, Shlomo</au><au>Ivanov, Plamen Ch</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Network physiology reveals relations between network topology and physiological function</atitle><jtitle>Nature communications</jtitle><stitle>Nat Commun</stitle><addtitle>Nat Commun</addtitle><date>2012-02-28</date><risdate>2012</risdate><volume>3</volume><issue>1</issue><spage>702</spage><epage>702</epage><pages>702-702</pages><artnum>702</artnum><issn>2041-1723</issn><eissn>2041-1723</eissn><abstract>The human organism is an integrated network where complex physiological systems, each with its own regulatory mechanisms, continuously interact, and where failure of one system can trigger a breakdown of the entire network. Identifying and quantifying dynamical networks of diverse systems with different types of interactions is a challenge. Here we develop a framework to probe interactions among diverse systems, and we identify a physiological network. We find that each physiological state is characterized by a specific network structure, demonstrating a robust interplay between network topology and function. Across physiological states, the network undergoes topological transitions associated with fast reorganization of physiological interactions on time scales of a few minutes, indicating high network flexibility in response to perturbations. The proposed system-wide integrative approach may facilitate the development of a new field, Network Physiology.
Humans are a network of complex physiological systems, but quantifying these diverse systems is a challenge. This study presents a method to show that each physiological state is characterized by a specific network structure, demonstrating a connection between network topology and function.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>22426223</pmid><doi>10.1038/ncomms1705</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 631/114/2408 631/378/1385/519 631/443 631/553 Adult Female Humanities and Social Sciences Humans Male Models, Biological multidisciplinary Physiological Phenomena Science Science (multidisciplinary) Signal Transduction Sleep Stages - physiology Young Adult |
title | Network physiology reveals relations between network topology and physiological function |
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