静息态脑电信号动态功能连接分析

杨剑; 陈书燊; 皇甫浩然; 梁佩鹏; 钟宁

doi:10.7498/aps.64.058701

摘要

静息态脑功能连接分析是近年来脑研究的一个热点问题, 对于某些脑疾病的诊断及成因理解具有重要意义. 已有的脑功能连接研究基本上都假设功能连接网络在一段时间内是稳定不变的, 但越来越多的证据表明它应该是随时间动态变化的. 对25名被试睁眼和闭眼状态的64电极脑电生理信号, 采用独立成分分析、滑动时间窗、低分辨率脑电断层溯源、图论等方法和技术进行动态功能连接分析, 展现了睁眼和闭眼两种基线状态下视觉网络、默认网络等功能连接网络随时间的动态变化, 并对动态连接矩阵进行主成分分析得到了在整个时间段内具有代表意义的功能连接模式. 该结论支持和补充了传统稳态脑功能连接的研究, 也将为相关实验设计以及脑电信号临床研究提供基线选择依据.

关键词:

Abstract

Assessment of resting-state functional connectivity (FC) has become an important tool in studying brain disease mechanisms. Conclusions from previous resting-state investigations were based upon the hypothesis which assumed that the FC was constant throughout a period of task-free time. However, emerging evidence suggests that it may change over time. Here we investigate the dynamic FC based on the 64 electrodes EEG (electroencephalogram) of 25 healthy subjects in eyes closed (EC) and eyes open (EO) resting-state. A data-driven approach based on independent component analysis, standardized low-resolution tomography analysis, sliding time window, and graph theory are employed. Dynamic changes of FC over time with EC and EO in the visual network, the default mode network etc. are discovered. And the principal component analysis is used to the concatenated dynamic FC matrixes for finding meaningful FC patterns. Our results have complemental the traditional stationary analyses, and revealed novel insights in choosing the type of resting condition in experimental design and EEG clinical research.

Keywords:

作者及机构信息

1.
北京工业大学, 国际WIC研究院, 北京 100124;

2.
磁共振成像脑信息学北京市重点实验室, 北京 100124;

3.
脑信息智慧服务北京市国际科技合作基地, 北京 100124;

4.
首都医科大学宣武医院放射科, 北京 100053

基金项目: 北京市自然科学基金(批准号: 4132023)、国家重点基础研究发展计划(批准号: 2014CB744600)、国家自然科学基金(批准号: 61272345, 61105118)和国家国际科技合作专项(批准号: 2013DFA32180)资助的课题.

Authors and contacts

1.
Institute of International WIC, Beijing University of Technology, Beijing 100124, China;

2.
Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100124, China;

3.
Beijing International Collaboration Base on Brain Informatics, Wisdom, and Services Beijing 100124, China;

4.
Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China

Funds: Project supported by the Beijing Natural Science Foundation, Chian (Grant No. 4132023), the State Key Development Program for Basic Research of China (Grant No. 2014CB744600), the National Natural Science Foundation of China (Grant Nos. 61272345, 61105118), and the International Science and Technology Cooperation Program of China ( Grant No. 2013DFA32180).

参考文献

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[14]	Yi G S, Wang J, Hang C X, Deng B, Wei X L, Li N 2013 Chin. Phys. B 22 028702
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[16]	Hou F Z, Dai J F, Liu X F, Huang X L 2014 Acta Phys. Sin. 63 040506 (in Chinese) [侯凤贞, 戴加飞, 刘新峰, 黄晓林 2014 63 040506]
[17]	Yin N, Xu G Z, Zhou Q 2013 Acta Phys. Sin. 62 118704 (in Chinese) [尹宁, 徐桂芝, 周茜 2013 62 118704]
[18]	Calhoun V D, Adali T, Pekar J J 2004 Magn. Reson. Imaging 22 1181
[19]	Chen J L, Ros T, Gruzelier J H 2013 Hum. Brain Mapp. 34 852
[20]	Roth J K, Johnson M K, Tokoglu F, Murphy I, Constable R T 2014 PLoS ONE 9 90672
[21]	Hutchison R M, Womelsdorf T, Allen E A, Bandettini P A, Calhoun V D, Corbetta M, Penna S D, Duyn J H, Glover G H, Gonzalez-Castillo J, Handwerker D A, Keilholz S, Kiviniemi V, Leopold D A, Pasquale F, Sporns O, Walter M, Chang C 2013 NeuroImage 80 360
[22]	Sakoglu , Pearlson G D, Kiehl K A, Wang Y M, Michael A M, Calhoun V D 2010 Magn. Reson. Mater. Phy. 23 351
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施引文献

[1]	Gusnard D A, Raichle M E 2001 Nat. Rev. Neurosci. 2 685
[2]	Morcom A M, Fletcher P C 2007 NeuroImage 37 1073
[3]	Castellanos F X, Margulies D S, Kelly A M C, Uddin L Q, Ghaffari M, Kirsch A, Shaw D, Shehzad Z, Martino A D, Biswal B, Sonuga-Barke E J S, Rotrosen J, Adler L A, Milham M P 2008 Biol. Psychiatry 63 332
[4]	Tian L X, Jiang T Z, Liang M, Zang Y F, He Y, Sui M Q, Wang Y F 2008 Brain & Dev. 30 342
[5]	Boytsova Y A, Danko S G 2010 Human Physiology 36 367
[6]	Marx E, Deutschländer A, Stephan T, Dieterich M, Wiesmann M, Brandt T 2004 NeuroImage 21 1818
[7]	Liu T B, Yao W P, Ning X B, Ni H J, Wang J 2013 Acta Phys. Sin. 62 218704 (in Chinese) [刘铁兵, 姚文坡, 宁新宝, 倪黄晶, 王俊 2013 62 218704]
[8]	Bai F, Zhang Z J, Yu H, Shi Y M, Yuan Y G, Zhu W L, Zhang X R, Qian Y 2008 Neuroscience Letters 438 111
[9]	Raichle M E, MacLeod A M, Snyder A Z, Powers W J, Gusnard D A, Shulman G L 2001 Proc. Natl. Acad. Sci. U. S. A. 98 676
[10]	Zeng L L, Shen H, Liu L, Wang L B, Li B J, Fang P, Zhou Z T, Li Y M, Hu D W 2012 Brain 135 1498
[11]	Leonardi N, Richiardi J, Gschwind M, Simioni S, Annoni J M, Schluep M, Vuilleumier P, Ville D V D 2013 NeuroImage 83 937
[12]	Greicius M D, Supekar K, Menon V, Dougherty R F 2009 Cereb. Cortex 19 72
[13]	Li L, Jin Z L, Li B 2011 Chin. Phys. B 20 038701
[14]	Yi G S, Wang J, Hang C X, Deng B, Wei X L, Li N 2013 Chin. Phys. B 22 028702
[15]	Fang X L, Jiang Z L 2007 Acta Phys. Sin. 56 7330 (in Chinese) [方小玲, 姜宗来 2007 56 7330]
[16]	Hou F Z, Dai J F, Liu X F, Huang X L 2014 Acta Phys. Sin. 63 040506 (in Chinese) [侯凤贞, 戴加飞, 刘新峰, 黄晓林 2014 63 040506]
[17]	Yin N, Xu G Z, Zhou Q 2013 Acta Phys. Sin. 62 118704 (in Chinese) [尹宁, 徐桂芝, 周茜 2013 62 118704]
[18]	Calhoun V D, Adali T, Pekar J J 2004 Magn. Reson. Imaging 22 1181
[19]	Chen J L, Ros T, Gruzelier J H 2013 Hum. Brain Mapp. 34 852
[20]	Roth J K, Johnson M K, Tokoglu F, Murphy I, Constable R T 2014 PLoS ONE 9 90672
[21]	Hutchison R M, Womelsdorf T, Allen E A, Bandettini P A, Calhoun V D, Corbetta M, Penna S D, Duyn J H, Glover G H, Gonzalez-Castillo J, Handwerker D A, Keilholz S, Kiviniemi V, Leopold D A, Pasquale F, Sporns O, Walter M, Chang C 2013 NeuroImage 80 360
[22]	Sakoglu , Pearlson G D, Kiehl K A, Wang Y M, Michael A M, Calhoun V D 2010 Magn. Reson. Mater. Phy. 23 351
[23]	Allen E A, Damaraju E, Plis S M, Erhardt E B, Eichele T, Calhoun V D 2014 Cereb. Cortex 24 663
[24]	Bell A J, Sejnowski T J 1995 Neural Comput. 7 1129
[25]	Jones D T, Vemuri P, Murphy M C, Gunter J L, Senjem M L, Machulda M M, Przybelski S A, Gregg B E, Kantarci K, Knopman D S, Boeve B F, Petersen R C, Jack Jr C R 2012 PLoS ONE 7 39731

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