Network Physiology: How Organ Systems Dynamically Interact.
We systematically study how diverse physiologic systems in the human organism dynamically interact and collectively behave to produce distinct physiologic states and functions. This is a fundamental question in the new interdisciplinary field of Network Physiology, and has not been previously explor...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4640580?pdf=render |
| _version_ | 1818058876306587648 |
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| author | Ronny P Bartsch Kang K L Liu Amir Bashan Plamen Ch Ivanov |
| author_facet | Ronny P Bartsch Kang K L Liu Amir Bashan Plamen Ch Ivanov |
| author_sort | Ronny P Bartsch |
| collection | DOAJ |
| description | We systematically study how diverse physiologic systems in the human organism dynamically interact and collectively behave to produce distinct physiologic states and functions. This is a fundamental question in the new interdisciplinary field of Network Physiology, and has not been previously explored. Introducing the novel concept of Time Delay Stability (TDS), we develop a computational approach to identify and quantify networks of physiologic interactions from long-term continuous, multi-channel physiological recordings. We also develop a physiologically-motivated visualization framework to map networks of dynamical organ interactions to graphical objects encoded with information about the coupling strength of network links quantified using the TDS measure. Applying a system-wide integrative approach, we identify distinct patterns in the network structure of organ interactions, as well as the frequency bands through which these interactions are mediated. We establish first maps representing physiologic organ network interactions and discover basic rules underlying the complex hierarchical reorganization in physiologic networks with transitions across physiologic states. Our findings demonstrate a direct association between network topology and physiologic function, and provide new insights into understanding how health and distinct physiologic states emerge from networked interactions among nonlinear multi-component complex systems. The presented here investigations are initial steps in building a first atlas of dynamic interactions among organ systems. |
| first_indexed | 2024-12-10T13:07:36Z |
| format | Article |
| id | doaj.art-27bafa91f46d4633b22b73f15af1f61c |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T13:07:36Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-27bafa91f46d4633b22b73f15af1f61c2022-12-22T01:47:46ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011011e014214310.1371/journal.pone.0142143Network Physiology: How Organ Systems Dynamically Interact.Ronny P BartschKang K L LiuAmir BashanPlamen Ch IvanovWe systematically study how diverse physiologic systems in the human organism dynamically interact and collectively behave to produce distinct physiologic states and functions. This is a fundamental question in the new interdisciplinary field of Network Physiology, and has not been previously explored. Introducing the novel concept of Time Delay Stability (TDS), we develop a computational approach to identify and quantify networks of physiologic interactions from long-term continuous, multi-channel physiological recordings. We also develop a physiologically-motivated visualization framework to map networks of dynamical organ interactions to graphical objects encoded with information about the coupling strength of network links quantified using the TDS measure. Applying a system-wide integrative approach, we identify distinct patterns in the network structure of organ interactions, as well as the frequency bands through which these interactions are mediated. We establish first maps representing physiologic organ network interactions and discover basic rules underlying the complex hierarchical reorganization in physiologic networks with transitions across physiologic states. Our findings demonstrate a direct association between network topology and physiologic function, and provide new insights into understanding how health and distinct physiologic states emerge from networked interactions among nonlinear multi-component complex systems. The presented here investigations are initial steps in building a first atlas of dynamic interactions among organ systems.http://europepmc.org/articles/PMC4640580?pdf=render |
| spellingShingle | Ronny P Bartsch Kang K L Liu Amir Bashan Plamen Ch Ivanov Network Physiology: How Organ Systems Dynamically Interact. PLoS ONE |
| title | Network Physiology: How Organ Systems Dynamically Interact. |
| title_full | Network Physiology: How Organ Systems Dynamically Interact. |
| title_fullStr | Network Physiology: How Organ Systems Dynamically Interact. |
| title_full_unstemmed | Network Physiology: How Organ Systems Dynamically Interact. |
| title_short | Network Physiology: How Organ Systems Dynamically Interact. |
| title_sort | network physiology how organ systems dynamically interact |
| url | http://europepmc.org/articles/PMC4640580?pdf=render |
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