Author(s)

Pei-Chen Lo¹, Wu Jue Miao Tian², Fang-Ling Liu¹

¹Institute of Electrical and Control Engineering, National Chiao Tung University, Hsinchu.
²Shakyamuni Buddhist Foundation, Taipei city.

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.

Electroencephalograph (EEG), Nonlinear Interconnectivity, Microstate, Macrostate, Zen Meditation

Lo, P. , Tian, W. and Liu, F. (2017) Macrostate and Microstate of EEG Spatio-Temporal Nonlinear Dynamics in Zen Meditation. Journal of Behavioral and Brain Science, 7, 705-721. doi: 10.4236/jbbs.2017.713046.