IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0344165.html

Long-term intensive golf training induces reconfiguration of brain structural covariance networks

Author

Listed:
  • Zonghan Lei
  • Yaoqi Hou
  • Xiangqin Song

Abstract

Long-term motor training is thought to reshape brain organization, yet how golf expertise influences large-scale brain networks remains unclear. Using T1-weighted MRI and an individualized structural covariance network (SCN) approach, we compared 20 expert golfers, 20 novice golfers, and 20 non-golfer controls. Experts showed higher global clustering coefficient and local efficiency than novices, indicating enhanced modular processing. At the nodal level, experts exhibited increased clustering in regions supporting visual–sensorimotor integration (e.g., right supramarginal gyrus, Heschl’s gyrus, and left middle temporal pole), alongside reduced global efficiency in the left calcarine cortex and altered path length in the right cerebellum. Importantly, the clustering coefficient mediated the association between training duration and stroke accuracy. These cross-sectional findings suggest that extensive golf training is linked to a brain network reconfiguration that favors local specialization over global integration—potentially supporting the refined sensorimotor control required in elite performance. This study advances understanding of experience-dependent neuroplasticity by integrating individualized network analysis with behavioral outcomes in motor expertise.

Suggested Citation

  • Zonghan Lei & Yaoqi Hou & Xiangqin Song, 2026. "Long-term intensive golf training induces reconfiguration of brain structural covariance networks," PLOS ONE, Public Library of Science, vol. 21(3), pages 1-12, March.
  • Handle: RePEc:plo:pone00:0344165
    DOI: 10.1371/journal.pone.0344165
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0344165
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0344165&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0344165?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:plo:pone00:0344165. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.