Abstract #3748

BOLD Representation of Canonical EEG Microstates

Obada Al Zoubi^1,2, Ahmad Mayeli^1,2, Masaya Misaki¹, Vadim Zotev¹, Aki Tsuchiyagaito^1,3, Jared Smith¹, Hazem Refai², Martin Paulus¹, and Jerzy Bodurka^1,4

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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