磁刺激穴位复杂脑功能网络构建与分析

尹宁; 徐桂芝; 周茜

doi:10.7498/aps.62.118704

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摘要

本文采用互信息方法对磁刺激内关穴过程中的脑电信号进行了两两通道间非线性时域关联特性分析, 构建了不同频率刺激前、刺激中、刺激后的脑功能网络, 并基于复杂网络理论对脑功能网络的特征进行了深入研究. 结果表明, 磁刺激频率为3 Hz 时, 大脑功能网络的平均度、平均聚类系数和全局效率与刺激前相比均有显著升高, 平均路径长度显著降低, 并且相应脑功能网络的"小世界"属性有所增强, 信息在大脑各区域间的传递更加高效. 本研究首次开展了磁刺激穴位复杂脑功能网络的构建与分析, 为探索磁刺激穴位对大脑神经调节的作用和机理提供新思路和新方法.

关键词:

作者及机构信息

1.
河北工业大学, 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 (批准号: 50877023)、高等学校博士学科点专项科研基金 (批准号: 20121317110002)和河北省自然科学基金 (批准号: F2012202016) 资助的课题.

参考文献

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[2]	Kaiser-Bunbury C N, Muff S, Memmott J, Mller C B, Caflisch A 2010 Ecol. Lett. 13 442
[3]	Ouyang M, Fei Q, Yu M H 2008 Acta Phys. Sin. 57 6763 (in Chinese) [欧阳敏, 费奇, 余明晖 2008 物理学报 57 6763]
[4]	Zhou L, Gong Z Q, Zhi R, Feng G L 2008 Acta Phys. Sin. 57 7380 (in Chinese) [周磊, 龚志强, 支蓉, 封国林 2008 物理学报 57 7380]
[5]	Zhang L, Liu Y 2008 Acta Phys. Sin. 57 5419 (in Chinese) [张立, 刘云 2008 物理学报 57 5419]
[6]	Zheng X, Chen J P, Shao J L, Bie L D 2012 Acta Phys. Sin. 61 190510 (in Chinese) [郑啸, 陈建平, 邵佳丽, 别立东 2012 物理学报 61 190510]
[7]	Liu H K, Zhou T 2007 Acta Phys. Sin. 56 106 (in Chinese) [刘宏鲲, 周涛 2007 物理学报 56 106]
[8]	Colombo E, Alcalay M, Pelicci P G 2011 Oncogene 30 2595
[9]	Friston K J 1994 Hum. Brain Mapp. 2 56
[10]	Stam C J, de Haan W, Daffertshofer A, Jones B F, Manshanden I, van Cappellen van Walsum A M, Montez T, Verbunt J P A, de Munck J C, van Dijk B W, Berendse H W, Scheltens P 2009 Brain 132 213
[11]	Li L, Jin Z L, Li B 2011 Acta Phys. Sin. 60 048703 (in Chinese) [李凌, 金贞兰, 李斌 2011 物理学报 60 048703]
[12]	Smit D J A, Stam C J, Posthuma D, Boomsma D I, de Geus E J C 2008 Hum. Brain Mapp. 29 1368
[13]	Li L, Jin Z L, Li B 2011 Chin. Phys. B 20 038701
[14]	Micheloyannis S, Pachou E, Stam C J, Breakspear M, Bitsios P, Vourkas M, Erimaki S, Zervakis M 2006 Schizophr. Res. 87 60
[15]	Fang X L, Jiang Z L 2007 Acta Phys. Sin. 56 7330 (in Chinese) [方小玲, 姜宗来 2007 物理学报 56 7330]
[16]	Bian R J, Wang J, Han C X, Deng B, Wei X L, Che Y Q 2011 Acta Phys. Sin. 60 118701 (in Chinese) [边洪瑞, 王江, 韩春晓, 邓斌, 魏熙乐, 车艳秋 2011 物理学报 60 118701]
[17]	Han C X, Wang J, Che Y Q, Deng B, Guo Yi, Guo Y M, Liu Y Y 2010 Acta Phys. Sin. 59 5881 (in Chinese) [韩春晓, 王江, 车艳秋, 邓斌, 郭义, 郭永明, 刘阳阳 2010 物理学报 59 5881]
[18]	Li N, Wang J, Deng B, Wei X L, Che Y Q, Jia C H, Guo Y, Wang C 2011 Acup. Res. 36 278 (in Chinese) [李诺, 王江, 邓斌, 魏熙乐, 车艳秋, 贾晨辉, 郭义, 王超 2011 针刺研究 36 278]
[19]	Luo X L, Wang J, Han C X, Deng B, Wei X L, Bian H R 2012 Chin. Phys. B 21 028701
[20]	Xu G Z, Zhang X, Yang Q X, Yang S, Yan W L 2010 Trans. Chin. Electrotech. Soc. 25 34 (in Chinese) [徐桂芝, 张秀, 杨庆新, 杨硕, 颜威利 2010 电工技术学报 25 34]
[21]	Shannon C E 1949 Bell Syst. Tech. J. 28 656
[22]	Albert R, Barabasi A L 2002 Rev. Mod. Phys. 74 47
[23]	Latora V, Marchiori M 2001 Phys. Rev. Lett. 87 198701
[24]	Watts D J, Strogatz S H 1998 Nature 393 440
[25]	Humphries M D, Gurney K, Prescott T J 2006 Proc. R. Soc. Lond. B 273 503
[26]	Sui D N, Zhao Q B, Tang Y Y 2010 Chin. Phys. Lett. 27 018702

施引文献

[1]	Zhang F F, Zheng Z G 2012 J. Shanghai Univ. Sci. Tech. 34 138 (in Chinese) [张方风, 郑志刚 2012 上海理工大学学报 34 138]
[2]	Kaiser-Bunbury C N, Muff S, Memmott J, Mller C B, Caflisch A 2010 Ecol. Lett. 13 442
[3]	Ouyang M, Fei Q, Yu M H 2008 Acta Phys. Sin. 57 6763 (in Chinese) [欧阳敏, 费奇, 余明晖 2008 物理学报 57 6763]
[4]	Zhou L, Gong Z Q, Zhi R, Feng G L 2008 Acta Phys. Sin. 57 7380 (in Chinese) [周磊, 龚志强, 支蓉, 封国林 2008 物理学报 57 7380]
[5]	Zhang L, Liu Y 2008 Acta Phys. Sin. 57 5419 (in Chinese) [张立, 刘云 2008 物理学报 57 5419]
[6]	Zheng X, Chen J P, Shao J L, Bie L D 2012 Acta Phys. Sin. 61 190510 (in Chinese) [郑啸, 陈建平, 邵佳丽, 别立东 2012 物理学报 61 190510]
[7]	Liu H K, Zhou T 2007 Acta Phys. Sin. 56 106 (in Chinese) [刘宏鲲, 周涛 2007 物理学报 56 106]
[8]	Colombo E, Alcalay M, Pelicci P G 2011 Oncogene 30 2595
[9]	Friston K J 1994 Hum. Brain Mapp. 2 56
[10]	Stam C J, de Haan W, Daffertshofer A, Jones B F, Manshanden I, van Cappellen van Walsum A M, Montez T, Verbunt J P A, de Munck J C, van Dijk B W, Berendse H W, Scheltens P 2009 Brain 132 213
[11]	Li L, Jin Z L, Li B 2011 Acta Phys. Sin. 60 048703 (in Chinese) [李凌, 金贞兰, 李斌 2011 物理学报 60 048703]
[12]	Smit D J A, Stam C J, Posthuma D, Boomsma D I, de Geus E J C 2008 Hum. Brain Mapp. 29 1368
[13]	Li L, Jin Z L, Li B 2011 Chin. Phys. B 20 038701
[14]	Micheloyannis S, Pachou E, Stam C J, Breakspear M, Bitsios P, Vourkas M, Erimaki S, Zervakis M 2006 Schizophr. Res. 87 60
[15]	Fang X L, Jiang Z L 2007 Acta Phys. Sin. 56 7330 (in Chinese) [方小玲, 姜宗来 2007 物理学报 56 7330]
[16]	Bian R J, Wang J, Han C X, Deng B, Wei X L, Che Y Q 2011 Acta Phys. Sin. 60 118701 (in Chinese) [边洪瑞, 王江, 韩春晓, 邓斌, 魏熙乐, 车艳秋 2011 物理学报 60 118701]
[17]	Han C X, Wang J, Che Y Q, Deng B, Guo Yi, Guo Y M, Liu Y Y 2010 Acta Phys. Sin. 59 5881 (in Chinese) [韩春晓, 王江, 车艳秋, 邓斌, 郭义, 郭永明, 刘阳阳 2010 物理学报 59 5881]
[18]	Li N, Wang J, Deng B, Wei X L, Che Y Q, Jia C H, Guo Y, Wang C 2011 Acup. Res. 36 278 (in Chinese) [李诺, 王江, 邓斌, 魏熙乐, 车艳秋, 贾晨辉, 郭义, 王超 2011 针刺研究 36 278]
[19]	Luo X L, Wang J, Han C X, Deng B, Wei X L, Bian H R 2012 Chin. Phys. B 21 028701
[20]	Xu G Z, Zhang X, Yang Q X, Yang S, Yan W L 2010 Trans. Chin. Electrotech. Soc. 25 34 (in Chinese) [徐桂芝, 张秀, 杨庆新, 杨硕, 颜威利 2010 电工技术学报 25 34]
[21]	Shannon C E 1949 Bell Syst. Tech. J. 28 656
[22]	Albert R, Barabasi A L 2002 Rev. Mod. Phys. 74 47
[23]	Latora V, Marchiori M 2001 Phys. Rev. Lett. 87 198701
[24]	Watts D J, Strogatz S H 1998 Nature 393 440
[25]	Humphries M D, Gurney K, Prescott T J 2006 Proc. R. Soc. Lond. B 273 503
[26]	Sui D N, Zhao Q B, Tang Y Y 2010 Chin. Phys. Lett. 27 018702

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磁刺激穴位复杂脑功能网络构建与分析

1. 河北工业大学, 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 (批准号: 50877023)、高等学校博士学科点专项科研基金 (批准号: 20121317110002)和河北省自然科学基金 (批准号: F2012202016) 资助的课题.

收稿日期: 2012-12-13

修回日期: 2013-01-26

刊出日期: 2013-06-05

摘要: 本文采用互信息方法对磁刺激内关穴过程中的脑电信号进行了两两通道间非线性时域关联特性分析, 构建了不同频率刺激前、刺激中、刺激后的脑功能网络, 并基于复杂网络理论对脑功能网络的特征进行了深入研究. 结果表明, 磁刺激频率为3 Hz 时, 大脑功能网络的平均度、平均聚类系数和全局效率与刺激前相比均有显著升高, 平均路径长度显著降低, 并且相应脑功能网络的"小世界"属性有所增强, 信息在大脑各区域间的传递更加高效. 本研究首次开展了磁刺激穴位复杂脑功能网络的构建与分析, 为探索磁刺激穴位对大脑神经调节的作用和机理提供新思路和新方法.

关键词:

Construction and analysis of complex brain functional network under acupoint magnetic stimulation

1.
Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China

Fund Project:

Project supported by the National Natural Science Foundation of China (Grant No. 50877023), the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20121317110002), and the Natural Science Foundation of Hebei Province, China (Grant No. F2012202016).

Received Date: 13 December 2012

Accepted Date: 26 January 2013

Published Online: 05 June 2013

Abstract: Brain is a complex nonlinear dynamic system consisting of related functional regions that can be described by the complex network model. Acupoint magnetic stimulation is an equivalent external stimulus for brain, which can be used as an important technical method to study the regulation mechanism of complex nervous system. It is of great significance to research the effect of acupoint magnetic stimulation on the structure and characteristics of brain functional network. Magnetic stimulation was applied to Neiguan (PC6) and the acquired EEG data were analyzed using dual-channel nonlinear method of mutual information in time domain. The corresponding brain functional networks before, during and after a magnetic stimulation were constructed and the characteristic parameters were studied based on the complex network theory. Results show that the average degree, average clustering coefficient and global efficiency of the brain functional network were increased under magnetic stimulation frequency of 3 Hz, while the average path length was reduced. The small world attribution of the corresponding functional network was enhanced, which made the information transfer among brain regions more efficiently. The brain functional networks under acupoint magnetic stimulation is studied for the first time as far as we know, which provides a new idea and approach to investigate the effect and regulation mechanism of transcutaneous acupoint magnetic stimulation to the complex nervous system.

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