基于因子分析方法的相位同步脑电源的时-空动力学分析

李凌; 金贞兰; 李斌

doi:10.7498/aps.60.048703

摘要

头皮脑电时间序列的相关性是大脑皮层源的相位同步性的一种体现,因此对相位同步源进行定位,同时找到源对应的时间序列在脑成像研究领域具有重要意义.基于Rössler 模型提出仿真相位同步偶极子源的时间序列的方法,利用时间序列进行同心四层球头模型正演,获得仿真头皮脑电数据.提出了基于最大似然因子分析的相位同步脑电源的时-空动力学分析方法,对仿真和真实头皮脑电数据进行了验证,并与主成分分析法进行对比.仿真实验结果表明:最大似然因子分析法估计的时间序列与仿真源的时间序列具有更高的相关系数,同时估计源与仿真源

关键词:

Abstract

Correlations in time courses of scalp electroencephalogram(EEG) may be represented by the phase synchronization in cerebral cortex sources to a certain some degree. Therefore, it is very important to localize the sources of phase synchronization and find corresponding time courses in the brain imaging study. Based on coupled Rössler oscillators with different coupling strengths, we propose a new method of simulating phase synchronized dipole sources and use a concentric 4-sphere head model to obtain simulation forward scalp EEG data. In addition, we propose the spatiotemporal dynamic analysis of phase synchronized sources based on the maximum likelihood factor analysis, verify the simulated and real scalp EEG data, and further compare the results with those of principal component analysis. Simulation results demonstrate that time courses estimated by maximum likelihood factor analysis have higher correlation with simulated sources, and less locational error between estimated sources and simulated sources. Factor analysis shows a better robust to the spatial resolution and the noise than principal component analysis. Furthermore, real data from spatial attention experiments show that factor analysis is capable of obtaining time courses and spatial distribution under the physiological base.

Keywords:

作者及机构信息

(1)电子科技大学生命科学与技术学院,神经信息教育部重点实验室,成都 610054; (2)电子科技大学物理电子学院,成都 610054

基金项目: 国家自然科学基金青年科学基金(批准号: 30800242) 资助的课题.

Authors and contacts

(1)Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China; (2)School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu 610054, China

参考文献

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[4]	Yao D 2002 Clin. Neurophysol. 113 956
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[7]	Yao D 2001 Phys. Med. Biol. 46 3177
[8]	Mosher J C, Leahy R M 1998 IEEE Trans. Biomed. Eng. 45 1342
[9]	Stam C J, van Dijk B W 2002 Phys. D 163 236
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施引文献

[1]	Gevins A 1998 Electroenceph. Clin. Neurophysiol. 106 165
[2]	Michel C M, Murray M M, Lantz G, Gonzalez S, Spinelli L, Rolando Grave de Peralta 2004 Clin. Neurophysiol. 115 2195
[3]	Nunez P L, Silibertein R B, Cdush P J, Wijesinghe R S, Westdrop A F, Srinivasan R 1994 Electroenceph. Clin. Neurophysiol. 90 40
[4]	Yao D 2002 Clin. Neurophysol. 113 956
[5]	Pascual-Marqui R D, Michel C M, Lehmann D 1994 Int. J. Psychophysiol. 18 49
[6]	Yao D, He B 2001 Ann. Biomed. Eng. 29 1019
[7]	Yao D 2001 Phys. Med. Biol. 46 3177
[8]	Mosher J C, Leahy R M 1998 IEEE Trans. Biomed. Eng. 45 1342
[9]	Stam C J, van Dijk B W 2002 Phys. D 163 236
[10]	Fang X L, Jiang Z L 2007 Acta. Phys. Sin. 56 7330 (in Chinese) [方小玲、姜宗来 2007 56 7330]
[11]	Meng Q F, Zhou W D, Chen Y H, Peng Y H 2010 Acta. Phys. Sin. 59 123 (in Chinese) [孟庆芳、周卫东、陈月辉、彭玉华 2010 59 123] 〖12] Xie Y, Xu J X, Yang H J, Hu S J 2002 Acta. Phys. Sin. 51 205 [谢勇、徐健学、杨红军、胡三觉 2002 51 205]
[12]	Benjamin L, Jurgen S, Andreas S 2006 J. Physiol. 99 66
[13]	Van Boxtel G J M 1998 Behav. Res. Methods. Instrum. Comput. 30 87
[14]	Kayser J, Tenke C E 2003 Clin. Neurophysiol. 114 2307
[15]	Wood C C, McCarthy G 1984 Electroencephalogr. Clin. Neurophysiol. 59 249
[16]	Rosenblum M G, Pikovsky A S, Kurths J 1996 Phys. Rev. Lett. 76 1804
[17]	Cuffin B N, Cohen D 1997 IEEE Trans. Biomed. Eng. 24 372
[18]	Yao D 2003 Phys. Med. Biol. 48 1997
[19]	Li L, Yao D, Yin G 2009 Brain Res. 1282 84
[20]	Jöreskog K G 1967 Psychometrika. 32 443
[21]	Rubin D B, Thayer D T 1982 Psychometrika. 47 69
[22]	Clark V, Hillyard S A 1996 J. Cogn. Neurosci. 8 387

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