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Cited by 721

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Network physiology reveals relations between network topology and physiological function

Open access
Bashan, Amir, Bartsch, Ronny P., Kantelhardt, Jan. W., Havlin, Shlomo, Ivanov, Plamen Ch.·2012·Nature Communications
DOI 10.1038/ncomms1705
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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.

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Metadata

Authors
Bashan, A., Bartsch, R. P., Kantelhardt, J. W., Havlin, S., & Ivanov, P. C.
Venue
Nature Communications
Publisher
Springer Science and Business Media LLC
Published
2012-02-28
Volume
3
Issue
1
Pages
702-702
ISSN
2041-1723 (ISSN-L)
DOI
10.1038/ncomms1705
OpenAlex
W2115530814
Cited by
721
References
45
FWCI
19.50
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Network physiology reveals relations between network topology and physiological function. https://app.cochat.ai/papers/10.1038/ncomms1705
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Bashan, A., Bartsch, R. P., Kantelhardt, J. W., Havlin, S., & Ivanov, P. C. (2012). Network physiology reveals relations between network topology and physiological function. Nature Communications. https://doi.org/10.1038/ncomms1705

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.