| Summary: | 碩士 === 國立交通大學 === 電控工程研究所 === 106 === Brain dynamics in Zen-meditation state has aroused the researchers’ attention for decades. In this thesis, we attempted to explore the difference of microstate of nonlinear interdependence and the corresponding focal-source characteristics between Zen-meditation EEG (electroencephalograph) and resting EEG. Nonlinear-interdependence analysis based on phase space reconstruction may provide a feasible way to access brain dynamical interactions among regional neural networks. The analysis mainly involves the construction of similarity-index matrix (SIM), classification of microstate SIMs, and long-term EEG interpretation based on the classification results of microstate SIMs. Our previous study proposed the systematic approach for determining appropriate implementing parameters to evaluate the SI coefficient between two EEG channels and then to construct the complete 30-by-30 microstate SIM (miSIM) for the 5-millisecond, 30-channel EEG epoch. This thesis is mainly focused on1)theclassification of microstatesof spatially nonlinear interdependence of more Zen-meditation and resting EEG data, and 2) analysis of the corresponding focalized-source (dipole) characteristics based on the four-shell concentric spherical head model. The microstate SIMs are classified by Fuzzy c-means clustering. The results of
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classification can be adopted for long-term EEG interpretation. The cluster centers of all the clusters are most representative for characterizing the nonlinear brain dynamics
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