Macrostate and Microstate of EEG Spatio-Temporal Nonlinear Dynamics in Zen Meditation
Journal of Behavioral and Brain Science January 1, 2017 Pei-Chen Lo, Tian Wu, Fang-Ling Liu 4 citations
During Zen meditation, the brain's frontal midline regions show more stable and stronger neural interconnectivity compared to normal resting states. Using 30-channel EEG recordings, the study analyzed nonlinear interdependence between brain regions by reconstructing phase trajectories and computing similarity-index matrices every 5 milliseconds. These microstate matrices were classified into macrostates via K-means clustering. Zen-meditation EEG exhibited stationary and robust coupling among frontal midline neural oscillators, while resting EEG showed connectivity that drifted more frequently from the midline and extended to inferior brain regions.