Zhao, Shanguang and Lin, Hao and Chi, Aiping and Gao, Yuanyuan (2023) Effects of acute exercise fatigue on the spatiotemporal dynamics of resting-state large-scale brain networks. Frontiers in Neuroscience, 17. ISSN 1662-453X, DOI https://doi.org/10.3389/fnins.2023.986368.
Full text not available from this repository.Abstract
IntroductionVarious approaches have been used to explore different aspects of the regulation of brain activity by acute exercise, but few studies have been conducted on the effects of acute exercise fatigue on large-scale brain functional networks. Therefore, the present study aimed to explore the effects of acute exercise fatigue on resting-state electroencephalogram (EEG) microstates and large-scale brain network rhythm energy. MethodsThe Bruce protocol was used as the experimental exercise model with a self-controlled experimental design. Thirty males performed incremental load exercise tests on treadmill until exhaustion. EEG signal acquisition was completed before and after exercise. EEG microstates and resting-state cortical rhythm techniques were used to analyze the EEG signal. ResultsThe microstate results showed that the duration, occurrence, and contribution of Microstate C were significantly higher after exhaustive exercise (p's < 0.01). There was a significantly lower contribution of Microstate D (p < 0.05), a significant increase in transition probabilities between Microstate A and C (p < 0.05), and a significant decrease in transition probabilities between Microstate B and D (p < 0.05). The results of EEG rhythm energy on the large-scale brain network showed that the energy in the high-frequency beta band was significantly higher in the visual network (p < 0.05). DiscussionOur results suggest that frequently Microstate C associated with the convexity network are important for the organism to respond to internal and external information stimuli and thus regulate motor behavior in time to protect organism integrity. The decreases in Microstate D parameters, associated with the attentional network, are an important neural mechanism explaining the decrease in attention-related cognitive or behavioral performance due to acute exercise fatigue. The high energy in the high-frequency beta band on the visual network can be explained in the sense of the neural efficiency hypothesis, which indicates a decrease in neural efficiency.
| Item Type: | Article |
|---|---|
| Funders: | Signature Achievement Project of Sports School in Shaanxi Normal University (Grant No: 2022AA002) |
| Uncontrolled Keywords: | Acute exercise fatigue; Resting-state EEG; Microstates; Large-scale brain networks; Energy |
| Subjects: | R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry R Medicine > RC Internal medicine > RC1200 Sports Medicine |
| Divisions: | Faculty of Sports and Exercise Science (formerly known as Centre for Sports & Exercise Sciences) |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 30 Nov 2023 09:09 |
| Last Modified: | 30 Nov 2023 09:09 |
| URI: | http://eprints.um.edu.my/id/eprint/38792 |
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