基于近似熵的磁刺激穴位脑功络构建与分析

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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.

Key words： EEG signal magnetic stimulation neiguan acupuncture point brain functional network approximate entropy

Received: 10 October 2013 Published: 29 June 2015

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	Guo Lei
	Wang Yao
	Yu Hongli
	Yin Ning
	Li Ying

Cite this article:

Guo Lei,Wang Yao,Yu Hongli等. Brain Functional Network Based on Approximate Entropy of EEG under Magnetic Stimulation at Acupuncture Point[J]. Transactions of China Electrotechnical Society, 2015, 30(10): 31-38.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I10/31

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