Brain local stability and network flexibility of table tennis players: a 7T MRI study

Author:

Liu Wenming12,Ye Shuqin3456,Cao Yuting3456,Li Yuyang56,Gao Yanyan78,Zhao Mengqi78910,Wang Yadan1112,Yun Bing1314,Luo Le15,Zheng Chanying3456ORCID,Jia Xize78

Affiliation:

1. Department of Sport Science , College of Education, , 310029 Hangzhou , China

2. Zhejiang University , College of Education, , 310029 Hangzhou , China

3. Key Laboratory for Biomedical Engineering of Ministry of Education , College of Biomedical Engineering and Instrument Science, , 310029 Hangzhou , China

4. Zhejiang University , College of Biomedical Engineering and Instrument Science, , 310029 Hangzhou , China

5. Interdisciplinary Institute of Neuroscience and Technology , Key Laboratory of Medical Neurobiology of Zhejiang Province, , 310029 Hangzhou , China

6. School of Medicine, Zhejiang University , Key Laboratory of Medical Neurobiology of Zhejiang Province, , 310029 Hangzhou , China

7. School of Psychology , , 321000 Jinhua , China

8. Zhejiang Normal University , , 321000 Jinhua , China

9. Key Laboratory of Intelligent , Education Technology and Application of Zhejiang Province, , 321000 Jinhua , China

10. Zhejiang Normal University , Education Technology and Application of Zhejiang Province, , 321000 Jinhua , China

11. School of Information and Electronics Technology , , 154007 Jiamusi , China

12. Jiamusi University , , 154007 Jiamusi , China

13. Department of Public Physical and Art Education , , 310029 Hangzhou , China

14. Zhejiang University , , 310029 Hangzhou , China

15. Hangzhou Wuyunshan Hospital , 310018 Hangzhou , China

Abstract

Abstract Table tennis players have adaptive visual and sensorimotor networks, which are the key brain regions to acquire environmental information and generate motor output. This study examined 20 table tennis players and 21 control subjects through ultrahigh field 7 Tesla magnetic resonance imaging. First, we measured percentage amplitude of fluctuation across five different frequency bands and found that table tennis players had significantly lower percentage amplitude of fluctuation values than control subjects in 18 brain regions, suggesting enhanced stability of spontaneous brain fluctuation amplitudes in visual and sensorimotor networks. Functional connectional analyses revealed increased static functional connectivity between two sensorimotor nodes and other frontal-parietal regions among table tennis players. Additionally, these players displayed enhanced dynamic functional connectivity coupled with reduced static connectivity between five nodes processing visual and sensory information input, and other large-scale cross-regional areas. These findings highlight that table tennis players undergo neural adaptability through a dual mechanism, characterized by global stability in spontaneous brain fluctuation amplitudes and heightened flexibility in visual sensory networks. Our study offers novel insights into the mechanisms of neural adaptability in athletes, providing a foundation for future efforts to enhance cognitive functions in diverse populations, such as athletes, older adults, and individuals with cognitive impairments.

Funder

Scientific and Technological Innovation 2030—Major Projects

National Natural Science Foundation of China

Zhejiang Province Commonweal Projects

Fundamental Research Funds for the Central Universities

Interdisciplinary Preresearch Project of Zhejiang University

Publisher

Oxford University Press (OUP)

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