文章基本信息

标题：Macrostate and Microstate of EEG Spatio-Temporal Nonlinear Dynamics in Zen Meditation
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作者：Pei-Chen Lo ; Pei-Chen Lo ; Wu Jue Miao Tian 等
期刊名称：Journal of Behavioral and Brain Science
印刷版ISSN：2160-5866
电子版ISSN：2160-5874
出版年度：2017
卷号：7
期号：13
页码：705-721
DOI：10.4236/jbbs.2017.713046
语种：English
出版社：Scientific Research Pub
摘要：Macrostate and microstate characteristics of interregional nonlinear interdependence of brain dynamics are investigated for Zen-meditation and normal resting EEG. Evaluation of nonlinear interdependence based on nonlinear dynamic theory and phase space reconstruction is employed in the 30-channel electroencephalographic (EEG) signals to characterize the functioning interactions among different local neuronal networks. This paper presents a new scheme for exploring the microstate and macrostate of interregional brain neural network interactivity. Nonlinear interdependence quantified by similarity index is applied to the phase trajectory reconstructed from multi-channel EEG. The microstate similarity-index matrix (miSIM) is evaluated every 5 millisecond. The miSIMs are classified by K-means clustering. The cluster center corresponds to the macrostate SIM (maSIM) evaluated by conventional scheme. Zen-meditation EEG exhibits rather stationary and stronger interconnectivity among frontal midline regional neural oscillators, whereas resting EEG appears to drift away more often from the midline and extend to the inferior brain regions.
关键词：Electroencephalograph (EEG);Nonlinear Interconnectivity;Microstate;Macrostate;Zen Meditation