Liu Mengmeng, Xu Guizhi, Yu Hongli, Wang Chunfang, Sun Changcheng, Guo Lei
State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, P. R. China.
Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2021 Jun 25;38(3):498-506. doi: 10.7507/1001-5515.202010037.
Transcranial direct current stimulation (tDCS) is an emerging non-invasive brain stimulation technique. However, the rehabilitation effect of tDCS on stroke disease is unclear. In this paper, based on electroencephalogram (EEG) and complex network analysis methods, the effect of tDCS on brain function network of stroke patients during rehabilitation was investigated. The resting state EEG signals of 31 stroke rehabilitation patients were collected and divided into stimulation group (16 cases) and control group (15 cases). The Pearson correlation coefficients were calculated between the channels, brain functional network of two groups were constructed before and after stimulation, and five characteristic parameters were analyzed and compared such as node degree, clustering coefficient, characteristic path length, global efficiency, and small world attribute. The results showed that node degree, clustering coefficient, global efficiency, and small world attributes of brain functional network in the tDCS group were significantly increased, characteristic path length was significantly reduced, and the difference was statistically significant ( < 0.05). It indicates that tDCS can improve the brain function network of stroke patients in rehabilitation period, and may provide theory and experimental basis for the application of tDCS in stroke rehabilitation treatment.
经颅直流电刺激(tDCS)是一种新兴的非侵入性脑刺激技术。然而,tDCS对中风疾病的康复效果尚不清楚。本文基于脑电图(EEG)和复杂网络分析方法,研究了tDCS在中风患者康复过程中对脑功能网络的影响。收集了31例中风康复患者的静息态EEG信号,并将其分为刺激组(16例)和对照组(15例)。计算通道间的皮尔逊相关系数,构建两组刺激前后的脑功能网络,并分析比较节点度、聚类系数、特征路径长度、全局效率和小世界属性等五个特征参数。结果显示,tDCS组脑功能网络的节点度、聚类系数、全局效率和小世界属性显著增加,特征路径长度显著缩短,差异具有统计学意义(<0.05)。这表明tDCS可改善中风康复期患者的脑功能网络,可能为tDCS在中风康复治疗中的应用提供理论和实验依据。