脑疲劳状态下脑功能网络研究与分析

Researchon Brain Functional Network During Mental Fatigue

  • 摘要: 旨在研究连续长时间脑力活动引发的脑疲劳对大脑连接性的影响,探索大脑疲劳评价的客观指标.通过持续认知任务实验诱发脑疲劳,选用互相关方法对采集到的脑电信号进行了不同导联间时域关联特性分析,构建并比较分析了正常态和脑疲劳态的脑功能网络.最后基于复杂网络理论对脑功能网络的特征参数进行了统计分析.结果表明,持续认知任务后,主观感觉疲劳程度显著增加,脑功能网络的平均度、平均聚类系数和网络密度与正常态相比均显著降低,而平均路径长度显著增大.脑功能网络参数可以很好地反映脑疲劳后大脑的连接性变化情况.

     

    Abstract: This study is aimed to research the effects of mental fatigue caused by long-term mental activity on brain functional connectivity,and investigate objective indicators of mental fatigue evaluation.Mental fatigue was induced by a sustained cognitive task.Using mutual correlation in time domain,the correlation properties of electroencephalogram (EEG) data recorded in two states (normal state and mental fatigue state) were analyzed.The brain functional networks were constructed.The characteristic parameters were statistically analyzed based on the complex network theory.The results showed that the scales of subjective perceived fatigue were increased after the sustained cognitive task.The average degree,average clustering coefficient and network density were significantly decreased during mental fatigue,while average path length was significantly increased.The characteristic parameters of brain functional network could reflect changes of brain functional connectivity during mental fatigue.

     

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