IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v3y2012i1d10.1038_ncomms1705.html
   My bibliography  Save this article

Network physiology reveals relations between network topology and physiological function

Author

Listed:
  • Amir Bashan

    (Bar-Ilan University)

  • Ronny P. Bartsch

    (Brigham and Women's Hospital)

  • Jan. W. Kantelhardt

    (Institute of Physics, Martin-Luther-Universität Halle-Wittenberg)

  • Shlomo Havlin

    (Bar-Ilan University)

  • Plamen Ch. Ivanov

    (Brigham and Women's Hospital
    Boston University
    Institute of Solid State Physics, Bulgarian Academy of Sciences)

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.

Suggested Citation

  • Amir Bashan & Ronny P. Bartsch & Jan. W. Kantelhardt & Shlomo Havlin & Plamen Ch. Ivanov, 2012. "Network physiology reveals relations between network topology and physiological function," Nature Communications, Nature, vol. 3(1), pages 1-9, January.
  • Handle: RePEc:nat:natcom:v:3:y:2012:i:1:d:10.1038_ncomms1705
    DOI: 10.1038/ncomms1705
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms1705
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms1705?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:3:y:2012:i:1:d:10.1038_ncomms1705. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.