Dynamic reconfiguration of brain functional networks in world class gymnasts: a resting-state functional MRI study
- Bolin Cao 1, Yu Guo 1, Fengguang Xia 2, Lunxiong Li 3,4, Zhanbing Ren 5, Min Lu 6, Jun Wang 7, Ruiwang Huang 1
- Bolin Cao 1, Yu Guo 1, Fengguang Xia 2
- 1School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou 510631, China.
- 2Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China.
- 3Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, China.
- 4Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China.
- 5Department of Physical Education, Shenzhen University, Shenzhen 518060, China.
- 6Institute of Psychology, Chinese Academy of Sciences (Key Laboratory of Mental Health, Chinese Academy of Sciences), Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China.
- 7Faculty of Psychology, State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
- 0School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou 510631, China.
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View abstract on PubMed
Summary
This summary is machine-generated.World-class gymnasts exhibit reduced brain network flexibility due to intensive training. This neuroplasticity, observed in motor and cognitive networks, suggests altered brain dynamics in highly skilled athletes.
Area Of Science
- Neuroscience
- Sports Science
- Network Science
Background
- Intensive training induces neuroplasticity and optimized brain modularity in elite athletes.
- Previous research often assumes static brain networks, overlooking dynamic changes over time.
Purpose Of The Study
- To investigate the impact of long-term intensive training on dynamic functional brain network properties in gymnasts.
- To analyze changes in brain modularity and temporal dynamics using a multilayer network model.
Main Methods
- Collected resting-state functional MRI data from 13 gymnasts and 14 controls.
- Constructed dynamic functional connectivity matrices and applied multilayer community detection.
- Calculated graph theoretical parameters (flexibility, cohesion, etc.) to characterize network dynamics.
Main Results
- Gymnasts displayed significantly lower global flexibility, cohesion, and disjointedness compared to controls.
- Reduced flexibility and cohesion were observed in auditory, sensorimotor, and default mode networks in gymnasts.
- Decreased flexibility and cohesion were prominent in motor function-associated brain regions for gymnasts.
Conclusions
- Long-term intensive training in gymnasts is associated with decreased brain functional dynamics flexibility.
- This neuroplasticity indicates significant brain reorganization related to motor skill acquisition and learning.
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