| 脑疲劳状态下脑功能网络研究与分析 |
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| 引用本文： | 杨硕,艾娜,王磊,尹宁,徐桂芝.脑疲劳状态下脑功能网络研究与分析[J].北京理工大学学报,2017,37(S1):67-71. |
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| 作者姓名： | 杨硕 艾娜 王磊 尹宁 徐桂芝 |
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| 作者单位： | 河北工业大学 电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 电磁场与电器可靠性省部共建重点实验室, 天津 300130 |
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| 基金项目： | 国家自然科学基金资助项目（31300818，51377045）；河北省高等学校自然科学基金资助项目（QN2016097） |
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| 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.
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| 关 键 词： | 脑疲劳 脑电 脑功能网络 互相关 |
| 收稿时间： | 2017/3/20 0:00:00 |
Researchon Brain Functional Network During Mental Fatigue |
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| YANG Shuo,AI N,WANG Lei,YIN Ning and XU Gui-zhi.Researchon Brain Functional Network During Mental Fatigue[J].Journal of Beijing Institute of Technology(Natural Science Edition),2017,37(S1):67-71. |
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| Authors: | YANG Shuo AI N WANG Lei YIN Ning and XU Gui-zhi |
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| Institution: | Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China,Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China,Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China,Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China and Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China |
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| 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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| Keywords: | mental fatigue electroencephalogram brain functional network mutual correlation |
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