Department of Physical Education, Shanghai Maritime University, Shanghai, China.
School of Physical Education, Shaanxi Normal University, Xian, China.
PeerJ. 2024 Jun 28;12:e17623. doi: 10.7717/peerj.17623. eCollection 2024.
Although exercise training has been shown to enhance neurological function, there is a shortage of research on how exercise training affects the temporal-spatial synchronization properties of functional networks, which are crucial to the neurological system. This study recruited 23 professional and 24 amateur dragon boat racers to perform simulated paddling on ergometers while recording EEG. The spatiotemporal dynamics of the brain were analyzed using microstates and omega complexity. Temporal dynamics results showed that microstate D, which is associated with attentional networks, appeared significantly altered, with significantly higher duration, occurrence, and coverage in the professional group than in the amateur group. The transition probabilities of microstate D exhibited a similar pattern. The spatial dynamics results showed the professional group had lower brain complexity than the amateur group, with a significant decrease in omega complexity in the α (8-12 Hz) and β (13-30 Hz) bands. Dragon boat training may strengthen the attentive network and reduce the complexity of the brain. This study provides evidence that dragon boat exercise improves the efficiency of the cerebral functional networks on a spatiotemporal scale.
虽然运动训练已被证明可以增强神经功能,但关于运动训练如何影响对神经系统至关重要的功能网络的时空同步特性的研究还很缺乏。本研究招募了 23 名专业和 24 名业余龙舟运动员在测功仪上模拟划桨,同时记录脑电图。使用微状态和 omega 复杂度分析大脑的时空动力学。时间动力学结果表明,与注意网络相关的微状态 D 出现明显改变,专业组的持续时间、出现率和覆盖率明显高于业余组。微状态 D 的转移概率也呈现出类似的模式。空间动力学结果表明,专业组的大脑复杂性低于业余组,α(8-12 Hz)和β(13-30 Hz)频段的 omega 复杂度显著降低。龙舟训练可能会增强注意力网络并降低大脑的复杂性。本研究提供了证据,证明龙舟运动可以提高大脑功能网络在时空尺度上的效率。