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基于样本熵的磁刺激穴位加权脑功能网络研究
引用本文:郭磊,王大珅,张伟,于洪丽,YIN Ning,徐桂芝.基于样本熵的磁刺激穴位加权脑功能网络研究[J].北京理工大学学报,2017,37(S1):124-129.
作者姓名:郭磊  王大珅  张伟  于洪丽  YIN Ning  徐桂芝
作者单位:河北工业大学 河北省电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 河北省电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 河北省电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 河北省电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 河北省电磁场与电器可靠性省部共建重点实验室, 天津 300130,河北工业大学 河北省电磁场与电器可靠性省部共建重点实验室, 天津 300130
基金项目:国家自然科学基金资助项目(61571180,31400844);河北省自然科学基金资助项目(E2016202128)
摘    要:脑功能网络的构建与分析可帮助探究大脑工作机制。本研究旨在构建并分析磁刺激内关穴脑功能网络,为探索针灸学作用机理提供理论依据。目前,为简化网络计算的复杂性,很多相关研究集中于二值脑功能网络,忽略了节点间连接强度。本研究采集磁刺激内关穴前、中、后3种状态的脑电信号并基于样本熵和互信息方法构建3种状态下反映节点间真实连接程度的加权脑功能网络;利用复杂网络理论对3种状态下加权脑功能网络拓扑性质进行对比性分析。实验结果表明,刺激状态与刺激前状态相比,网络的平均度、平均聚类系数、全局效率均有提高;刺激状态与刺激后状态相比,网络的平均度、平均聚类系数、全局效率整体也呈增强趋势;刺激后状态与刺激前状态相比,除少数被试的网络拓扑特征基本保持不变或小幅度减少外,其余均呈增长趋势,且增长程度不同,考虑与刺激的累积效应和个体差异有关。研究结果表明,磁刺激内关穴使网络各通道间连接强度提高,集群化程度加强,信息传递效率提高。

关 键 词:磁刺激  内关穴  脑电信号  加权脑功能网络
收稿时间:2017/3/20 0:00:00

Study of the Weighted Brain Functional Network Based on the Sample Entropy under Magnetic Stimulation at Neiguan Acupoint
GUO Lei,WANG Da-shen,ZHANG Wei,YU Hong-li,YIN Ning and XU Gui-zhi.Study of the Weighted Brain Functional Network Based on the Sample Entropy under Magnetic Stimulation at Neiguan Acupoint[J].Journal of Beijing Institute of Technology(Natural Science Edition),2017,37(S1):124-129.
Authors:GUO Lei  WANG Da-shen  ZHANG Wei  YU Hong-li  YIN Ning and XU Gui-zhi
Institution:Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China,Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China,Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China,Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China,Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China and Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China
Abstract:The construction and analysis of brain functional network can help to explore the working mechanism of brain.The therapeutic effectiveness of acupuncture was explored through the construction and analysis of brain functional network under magnetic stimulation at Neiguan(PC6)acupoint in this study.At present,a lot of related studies are devoted to the research of un-weighted network regardless the strength of connections among nodes to simplify the complexity of network computing.In this study,three kinds of Electroencephalograph(EEG)signal were recorded under pre-stimulated state,stimulated state and post-stimulated state at PC6 acupoint;weighted brain functional network was constructed by using sample entropy and mutual information theory;the topological features of weighted brain functional network for the three states were comparatively analyzed by using complex network theory.The experimental results show that the average degree,average clustering coefficient and global efficiency of the weighted brain functional network at stimulated states are increased compared to the pre-stimulated states;these topological features of network at stimulated states also show an increased trend compared to the pro-stimulated states;except that the topological feathers of the network for few subjects remain unchanged or decreased slightly,these topological features of the network for most subjects at pro-stimulated states show an increased trend compared to the pre-stimulated states and the increase rates of different subjects are different considering the cumulative effect of stimulation and individual differences.These results indicate that the connection strength of the network is enhanced,clustering of the network is increased,efficiency of information transmission is improved through stimulating PC6 acupoint
Keywords:magnetic stimulation  PC6 acupoint  EEG signal  weighted brain functional network
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