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Abstract #3748

BOLD Representation of Canonical EEG Microstates

Obada Al Zoubi1,2, Ahmad Mayeli1,2, Masaya Misaki1, Vadim Zotev1, Aki Tsuchiyagaito1,3, Jared Smith1, Hazem Refai2, Martin Paulus1, and Jerzy Bodurka1,4

1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Electrical and Computer Engineering, University of Oklahoma, Norman, OK, United States, 3Japan Society for the Promotion of Science, Tokyo, Japan, 4Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States

We extracted the topographical similarity of EEG signals with four canonical EEG microstate (EEG-ms, A through D) templates from 47 healthy subjects. Then, a general linear model (GLM) examined topographical similarities using time courses convolved with hemodynamic response function (HRF) as regressors of interest for individual subjects. A one-sample t-test was applied on the regression coefficients to identify brain regions whose BOLD activity is related to EEG microstate time courses, with significant results reported using a cluster size correction.

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