Attention demands modulate brain electrical microstates and mental fatigue induced by simulated flight tasks.

Mingxiu Han, Yuwen Wang, Xinyi Liu, Xiangxin Cheng, Haijun Niu, Tao Liu
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Abstract

Objective: Prolonged engagement in tasks with varying attention demands is thought to elicit distinct forms of mental fatigue, potentially indicating variations in neural activity. This study aimed to investigate the association between mental fatigue and changes in electroencephalogram (EEG) microstate dynamics during tasks with varying attention demands.

Approach: In the present study, we employed a 2×2 repeated measures ANOVA to analyze the temporal parameters of four distinct microstates (A, B, C, and D) across different levels of attention demands (high vs. low) and mental fatigue (high vs. low) within a controlled flight simulation task involving 17 college students.

Main results: Significant variations in mean durations were observed, with microstates A and B exhibiting shorter durations under high fatigue during low attention demands, while their durations increased under high attention demands. Microstate C showed increased occurrences with high fatigue under low attention demands and decreased occurrences under high attention demands. The duration and occurrence of the microstates exhibited different trends throughout the course of mental fatigue, potentially reflecting distinct fatigue-related processes.

Significance: These findings establish a link between different types of mental fatigue and microstate dynamics, contributing to a comprehensive understanding of the neural processing mechanisms underlying mental fatigue. .

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注意力需求调节脑电微观状态和模拟飞行任务引起的精神疲劳。
目的:长时间参与注意力要求不同的任务被认为会引起不同形式的精神疲劳,这可能表明神经活动的变化。本研究旨在探讨在完成注意力要求不同的任务时,精神疲劳与脑电图微状态动态变化之间的关联:在本研究中,我们采用了 2×2 重复测量方差分析来分析在不同的注意力需求水平(高与低)和精神疲劳度(高与低)下的四种不同微状态(A、B、C 和 D)的时间参数:主要结果:观察到平均持续时间的显著变化,微状态 A 和 B 在低注意力需求时的高疲劳度下表现出较短的持续时间,而在高注意力需求时它们的持续时间增加。微状态 C 在低注意力要求下的高疲劳状态下出现次数增加,而在高注意力要求下出现次数减少。在整个精神疲劳过程中,微状态的持续时间和发生率呈现出不同的趋势,可能反映了不同的疲劳相关过程:这些发现在不同类型的精神疲劳和微状态动态之间建立了联系,有助于全面了解精神疲劳的神经处理机制。
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