Synchronization of EEG: bivariate and multivariate measures.

Details

Serval ID
serval:BIB_322D079D0245
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Synchronization of EEG: bivariate and multivariate measures.
Journal
Ieee Transactions On Neural Systems and Rehabilitation Engineering
Author(s)
Jalili M., Barzegaran E., Knyazeva M.G.
ISSN
1558-0210 (Electronic)
ISSN-L
1534-4320
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
22
Number
2
Pages
212-221
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Abstract
Synchronization behavior of electroencephalographic (EEG) signals is important for decoding information processing in the human brain. Modern multichannel EEG allows a transition from traditional measurements of synchronization in pairs of EEG signals to whole-brain synchronization maps. The latter can be based on bivariate measures (BM) via averaging over pair-wise values or, alternatively, on multivariate measures (MM), which directly ascribe a single value to the synchronization in a group. In order to compare BM versus MM, we applied nine different estimators to simulated multivariate time series with known parameters and to real EEGs.We found widespread correlations between BM and MM, which were almost frequency-independent for all the measures except coherence. The analysis of the behavior of synchronization measures in simulated settings with variable coupling strength, connection probability, and parameter mismatch showed that some of them, including S-estimator, S-Renyi, omega, and coherence, aremore sensitive to linear interdependences,while others, like mutual information and phase locking value, are more responsive to nonlinear effects. Onemust consider these properties together with the fact thatMM are computationally less expensive and, therefore, more efficient for the large-scale data sets than BM while choosing a synchronization measure for EEG analysis.
Pubmed
Web of science
Create date
18/10/2014 15:27
Last modification date
20/08/2019 14:17
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