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Testing for significance of phase synchronisation dynamics in the EEG.

Daly, Ian and Sweeney-Reed, Catherine M and Nasuto, Slawomir J (2013) 'Testing for significance of phase synchronisation dynamics in the EEG.' Journal of Computational Neuroscience, 34 (3). 411 - 432. ISSN 0929-5313

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Abstract

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
Uncontrolled Keywords: Brain, Humans, Electroencephalography, Markov Chains, ROC Curve, Psychomotor Performance, Nonlinear Dynamics, Models, Neurological, Time Factors, Computer Simulation, Functional Laterality, Electroencephalography Phase Synchronization
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 27 May 2021 13:35
Last Modified: 27 May 2021 14:15
URI: http://repository.essex.ac.uk/id/eprint/25472

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