MICROSTATE ANALYSIS OF ALPHA-EVENT BRAIN TOPOGRAPHY DURING CHAN MEDITATION

Abstract

This paper reports our preliminary result of microstate analysis for the spatiotemporal characteristics of Chan-meditation brain wave (electroencephalograph, EEG) based on time-varying dipolar-vector model of the alpha-map. Microstate behavior reveals subtle transience of focalized event. Multi-channel alpha-event epochs were identified by Wavelet decomposition and feature extraction. Global field power was adopted as the criterion to choose alpha-map candidates (normalized alpha-power vectors), that were further classified by Mahalanobis Fuzzy C-means into different region-focalization states. Transition between various alpha-event focalization states was ready to be explored via microstate analysis. Our findings reveal that Chan-meditation practitioners exhibit longer duration of frontal alpha-event microstate, reflecting sustained stability of the brain generators.