Multivariate Phase Synchronization Analysis of EEG Data

Carsten ALLEFELD  Jurgen KURTHS  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E86-A   No.9   pp.2218-2221
Publication Date: 2003/09/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
Category: Nonlinear Signal Processing and Coding
Keyword: 
synchronization,  EEG,  multivariate analysis,  

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Summary: 
A method for a genuinely multivariate analysis of statistical phase synchronization phenomena in empirical data is presented. It is applied to EEG data from a psychological experiment, obtaining results which indicate a possible relevance of this method in the context of cognitive science as well as in other fields.