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

**Authors:** Zonghan Lei, Yaoqi Hou, Xiangqin Song, Cory James Coehoorn, Cory James Coehoorn, Cory James Coehoorn, Cory James Coehoorn, Cory James Coehoorn

PMC · DOI: 10.1371/journal.pone.0344165 · PLOS One · 2026-03-09

## TL;DR

Long-term golf training changes brain networks to support better sensorimotor control and performance.

## Contribution

This study reveals how golf expertise reconfigures brain networks, linking training duration to stroke accuracy via structural changes.

## Key findings

- Expert golfers show enhanced modular processing with higher local efficiency in brain regions related to sensorimotor integration.
- Training duration is associated with stroke accuracy through changes in the clustering coefficient of brain networks.
- Brain reconfiguration in experts favors local specialization over global integration, supporting elite performance.

## 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.

## Full-text entities

- **Genes:** NODAL (nodal growth differentiation factor) [NCBI Gene 4838] {aka HTX5}, CP (ceruloplasmin) [NCBI Gene 1356] {aka AB073614, CP-2}
- **Diseases:** neurological or psychiatric disorders (MESH:D001523), ORCID iD (MESH:C535742), SCN (MESH:D020914), stroke (MESH:D020521)
- **Chemicals:** Coehoorn (-), W (MESH:D014414)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12970903/full.md

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Source: https://tomesphere.com/paper/PMC12970903