@inproceedings{029a8ae18b0e436cbb00501b3bf840e8,
title = "Microstate analysis of alpha-event brain topography during chan meditation",
abstract = "This paper reports our preliminary result of micro state analysis for the spatiotemporal characteristics of Chan-meditation brain wave (electroencephalograph, EEG) based on time-varying dipolar-vector model of the OUnap. Microstate behavior reveals subtle transience of focalized event. Multi-channel a-event epochs were identified by Wavelet decomposition and feature extraction. Global field power was adopted as the criterion to choose a-map candidates (normalized a-power vectors), that were further classified by Mahalanobis Fuzzy C-means into different region-focalization states. Transition between various a-event focalization states was ready to be explored via microstate analysis. Our findings reveal that Chan-meditation practitioners exhibit longer duration of frontal Ct-event microstate, reflecting sustained stability of the brain generators.",
keywords = "Brain mapping, Chan meditation, Electroencephalograph (EEG), Frontal alpha, Mahalanobis fuzzy C-means (M-FCM), Microstate analysis, Wavelet decomposition",
author = "Pei-Chen Lo and Qiang Zhu",
year = "2009",
month = nov,
day = "10",
doi = "10.1109/ICMLC.2009.5212377",
language = "English",
isbn = "9781424437030",
series = "Proceedings of the 2009 International Conference on Machine Learning and Cybernetics",
pages = "717--721",
booktitle = "Proceedings of the 2009 International Conference on Machine Learning and Cybernetics",
note = "null ; Conference date: 12-07-2009 Through 15-07-2009",
}