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Proceedings Paper

Time-frequency analysis for the study of phase synchrony in the brain
Author(s): Selin Aviyente; Westley Evans
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Paper Abstract

The quantification of synchrony is important for the study of large-scale interactions in the brain. Current synchrony measures depend on the energy of the signals rather than the phase, and cannot be reliably used as measures of neural synchrony. Moreover, the current methods are insufficient since they are limited to pairs of signals. These approaches cannot quantify the synchrony across a group of electrodes and over time-varying frequency regions. In this paper, we propose two new measures for quantifying the synchrony between both pairs and groups of electrodes using time-frequency analysis. The proposed measures are applied to electroencephalogram (EEG) data to quantify neural synchrony.

Paper Details

Date Published: 3 September 2008
PDF: 12 pages
Proc. SPIE 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII, 70740Q (3 September 2008); doi: 10.1117/12.795298
Show Author Affiliations
Selin Aviyente, Michigan State Univ. (United States)
Westley Evans, Michigan State Univ. (United States)

Published in SPIE Proceedings Vol. 7074:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII
Franklin T. Luk, Editor(s)

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