Microstate analysis of alpha-event brain topography during chan meditation

Pei-Chen Lo*, Qiang Zhu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Machine Learning and Cybernetics
Pages717-721
Number of pages5
DOIs
StatePublished - 10 Nov 2009
Event2009 International Conference on Machine Learning and Cybernetics - Baoding, China
Duration: 12 Jul 200915 Jul 2009

Publication series

NameProceedings of the 2009 International Conference on Machine Learning and Cybernetics
Volume2

Conference

Conference2009 International Conference on Machine Learning and Cybernetics
CountryChina
CityBaoding
Period12/07/0915/07/09

Keywords

  • Brain mapping
  • Chan meditation
  • Electroencephalograph (EEG)
  • Frontal alpha
  • Mahalanobis fuzzy C-means (M-FCM)
  • Microstate analysis
  • Wavelet decomposition

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