The Influence of tDCS on the Effective Brain Networks Based on Biased Partial DirectedCoherence
Jin Ronghang1, Luo Zhizeng1#*, Shi Hongfei2
1(Institute of Intelligent Control and Robot, Hangzhou DianZi University, Hangzhou 310018, China) 2(The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua 322000, Zhejiang, China)
Abstract：Using brain network to study the effects of tDCS on brain function mechanisms and cerebral cortex state is of vital significance. In this study, we constructed effective brain networks of motor imagery in the different tDCS paradigms based on partial directional coherence. Taking the inflow and outflow rate of functional brain channel information of the effective brain networks as local features, and the average clustering coefficient and global efficiency as global features, we analyzed the influence of tDCS on the brain network characteristics of motor imagery. We found out that when the subjects performed left-hand motor imagery, the information outflow rate, inflow rate, average clustering coefficient and global efficiency of C4 channels after sham and tDCS anodal C4 stimulation was 0.142±0.014, 0.193±0.013, 0.585±0.046, 0.347±0.031 and 0.223±0.025, 0.258±0.023, 0.817±0.021 and 0.491±0.091, respectively, with significant differences (P<0.05). The information outflow rate, average clustering coefficient and global efficiency of C4 channel after tDCS cathodalC4 stimulation was 0.109±0.009, 0.356±0.037 and 0.252±0.024, respectively, which were significantly different from those of sham stimulation (P<0.05). The information inflow rate of C4 channel was 0.184±0.008, which was not significantly different from that of sham stimulation (P>0.05). The results indicated that the anodal tDCS effectively activated the activity of the cerebral cortex, made the brain area information exchange more frequently, increased the aggregation degree of the brain network, and improved the connectivity of the brain network. Cathodal tDCS would inhibit the activity of the cerebral cortex, reduce the outflow of brain information, reduce the aggregation degree of the brain network, and reduce the connectivity of the brain network.
作者简介: #中国生物医学工程学会会员(Member, Chinese Society of Biomedical Engineering)
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Jin Ronghang, Luo Zhizeng, Shi Hongfei. The Influence of tDCS on the Effective Brain Networks Based on Biased Partial DirectedCoherence. Chinese Journal of Biomedical Engineering, 2022, 41(4): 385-392.
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