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Testing for significance of phase synchronisation dynamics in the EEG

Daly, I., Sweeney-Reed, C. M. and Nasuto, S. J. (2013) Testing for significance of phase synchronisation dynamics in the EEG. Journal of Computational Neuroscience, 34 (3). pp. 411-432. ISSN 1573-6873

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To link to this item DOI: 10.1007/s10827-012-0428-2

Abstract/Summary

A number of tests exist to check for statistical significance of phase synchronisation within the Electroencephalogram (EEG); however, the majority suffer from a lack of generality and applicability. They may also fail to account for temporal dynamics in the phase synchronisation, regarding synchronisation as a constant state instead of a dynamical process. Therefore, a novel test is developed for identifying the statistical significance of phase synchronisation based upon a combination of work characterising temporal dynamics of multivariate time-series and Markov modelling. We show how this method is better able to assess the significance of phase synchronisation than a range of commonly used significance tests. We also show how the method may be applied to identify and classify significantly different phase synchronisation dynamics in both univariate and multivariate datasets.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:31743
Uncontrolled Keywords:Phase synchronisation Statistical significance testing EEG HMM SMM
Publisher:Springer

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