Abstract：The aim of this study was to investigate the changes of resting state EEG network structure caused by mental fatigue, and the influence of physical fatigue on the mental fatigue-related EEG network. Two-back task and cycling were used to induce mental fatigue and physical fatigue, respectively. Twenty channels of resting state EEG of 10 subjects were collected under 4 different fatigue conditions. EEG networks were obtained by calculating the partial directed coherence (PDC) causality between two arbitrary nodes and refined by comparing to a threshold. Only those links significantly higher than the threshold would be reserved, while others dismissed. After a comparison among the four EEG networks, a mental fatigue-related specific EEG network structure in N-back experiments was identified, in which FP2 was the hub while almost other channels had a link with it. The network structure was very stable, and its corresponding linking strength 4.0603 and 4.1421 in two fatigue state, which would not be influenced by physical fatigue. Therefore, this study identified an independent and stable functional network related to mental fatigue. The result provided a new perspective on the neural mechanism of mental fatigue and the relationship between mental fatigue and physical fatigue.
孟桂芳, 许敏鹏, 张春翠, 何 峰, 綦宏志, 明 东. 一种与N-Back诱发脑力疲劳相关的特异性脑电网络结构[J]. 中国生物医学工程学报, 2017, 36(2): 143-149.
Meng Guifang, Xu Minpeng, Zhang Chuncui, He Feng, Qi Hongzhi, Ming Dong. A Specific EEG Network Structure Related to Mental Fatigue Induced by N-back. Chinese Journal of Biomedical Engineering, 2017, 36(2): 143-149.
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