標題: Spatially Nonlinear Interdependence of Alpha-Oscillatory Neural Networks under Chan Meditation
作者: Lo, Pei-Chen
Chang, Chih-Hao
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2013
摘要: This paper reports the results of our investigation of the effects of Chan meditation on brain electrophysiological behaviors from the viewpoint of spatially nonlinear interdependence among regional neural networks. Particular emphasis is laid on the alpha-dominated EEG (electroencephalograph). Continuous-time wavelet transform was adopted to detect the epochs containing substantial alpha activities. Nonlinear interdependence quantified by similarity index S(X vertical bar Y), the influence of source signal Y on sink signal X, was applied to the nonlinear dynamical model in phase space reconstructed from multichannel EEG. Experimental group involved ten experienced Chan-Meditation practitioners, while control group included ten healthy subjects within the same age range, yet, without any meditation experience. Nonlinear interdependence among various cortical regions was explored for five local neural-network regions, frontal, posterior, right-temporal, left-temporal, and central regions. In the experimental group, the inter-regional interaction was evaluated for the brain dynamics under three different stages, at rest (stage R, pre-meditation background recording), in Chan meditation (stage M), and the unique Chakra-focusing practice (stage C). Experimental group exhibits stronger interactions among various local neural networks at stages M and C compared with those at stage R. The intergroup comparison demonstrates that Chan-meditation brain possesses better cortical inter-regional interactions than the resting brain of control group.
URI: http://hdl.handle.net/11536/23486
http://dx.doi.org/10.1155/2013/360371
ISSN: 1741-427X
DOI: 10.1155/2013/360371
期刊: EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
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