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极端山地超长马拉松赛后大脑自发性电活动的改变。

Alterations in spontaneous electrical brain activity after an extreme mountain ultramarathon.

机构信息

Institute of Sport Sciences, University of Lausanne, Switzerland.

Institute of Psychology, Faculty of Social and Political Sciences, University of Lausanne, Switzerland.

出版信息

Biol Psychol. 2022 May;171:108348. doi: 10.1016/j.biopsycho.2022.108348. Epub 2022 May 13.

Abstract

This study aimed to investigate the impact of an extreme mountain ultramarathon (MUM) on spontaneous electrical brain activity in a group of 16 finishers. By using 4-minute high-density electroencephalographic (EEG) recordings with eyes closed before and after a 330-km race (mean duration: 125 ± 17 h; sleep duration: 7.7 ± 2.9 h), spectral power, source localization and microstate analyses were conducted. After the race, power analyses revealed a centrally localized increase in power in the delta (0.5-3.5 Hz) and theta (4.0-7.5 Hz) frequency bands and a decrease in alpha (8.0-12.0 Hz) power at the parieto-occipital sites. Higher brain activation in the alpha frequency band was observed within the left posterior cingulate cortex, left angular gyrus and visual association areas. Microstate analyses indicated a significant decrease in map C predominance and an increase in the global field power (GFP) for map D at the end of the race. These changes in power patterns and microstate parameters contrast with previously reported findings following short bouts of endurance exercises. We discuss the potential factors that explain lower alpha activity within the parieto-occipital regions and microstate changes after MUMs. In conclusion, high-density EEG resting-state analyses can be recommended to investigate brain adaptations in extreme sporting activities.

摘要

本研究旨在调查一项 330 公里极限山地超级马拉松(MUM)对 16 名完赛者自发脑电活动的影响。通过在比赛前后进行 4 分钟的闭眼高分辨率脑电图(EEG)记录(平均持续时间:125±17 小时;睡眠时间:7.7±2.9 小时),进行了频谱功率、源定位和微状态分析。赛后,功率分析显示在 delta(0.5-3.5 Hz)和 theta(4.0-7.5 Hz)频段的中央区域功率增加,以及顶枕部 alpha(8.0-12.0 Hz)频段的功率降低。在左后扣带回、左角回和视觉联合区观察到 alpha 频段的大脑活动增加。微状态分析表明,在比赛结束时,图谱 C 的优势显著降低,图谱 D 的全局场强(GFP)增加。这些功率模式和微状态参数的变化与先前报道的短时间耐力运动后的发现形成对比。我们讨论了可以解释 MUM 后顶枕区 alpha 活动降低和微状态变化的潜在因素。总之,高分辨率 EEG 静息状态分析可用于研究极端运动中的大脑适应。

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