Brain Functional Network Based on Approximate Entropy of EEG under Magnetic Stimulation at Acupuncture Point
Guo Lei, Wang Yao, Yu Hongli, Yin Ning, Li Ying
Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology Tianjin 300130 China
Abstract：Acupuncture is based on the theory of the traditional Chinese medicine. Its therapeutic effectiveness has been proved by clinical practice. However, its effect mechanism is still unclear. Magnetic stimulation at acupuncture point provides a new means for studying the theory of acupuncture. Based on the graph theory, the construction and analysis method of complex network can help to investigate the topology of brain functional network and understand the working mechanism of the brain. In this study, magnetic stimulation is used to stimulate neiguan(PC6) acupoint and EEG signal is recorded; using non-linear method(approximate entropy) and complex network theory, brain functional network based on EEG signal under magnetic stimulation at PC6 acupoint is constructed and analyzed; the features of complex network are comparatively analyzed between the quiescent and stimulated states. The experimental results show the topology of the network is changed, the connection of the network is enhanced, and the efficiency of information transmission is improved and the “small-world” property is stronger through stimulating PC6 acupoint.
郭磊, 王瑶, 于洪丽, 尹宁, 李颖. 基于近似熵的磁刺激穴位脑功络构建与分析[J]. 电工技术学报, 2015, 30(10): 31-38.
Guo Lei, Wang Yao, Yu Hongli, Yin Ning, Li Ying. Brain Functional Network Based on Approximate Entropy of EEG under Magnetic Stimulation at Acupuncture Point. Transactions of China Electrotechnical Society, 2015, 30(10): 31-38.
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2015, Vol. 30 
