Abstract #2241

Simultaneous fMRI and EEG Study of Never Resting Brain: Spatial and Temporal Similarity of EEG Microstates Cortical Representation and BOLD Resting State Networks

Han Yuan¹, Lei Ding²,³, Min Zhu², Jerzy Bodurka¹,⁴

¹Laureate Institute for Brain Research, Tulsa, OK, United States; ²School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, United States; ³Bioengineering Center, University of Oklahoma, Norman, OK, United States; ⁴College of Engineering, University of Oklahoma, Norman, OK, United States

We describe a method to derive and characterize the resting state networks (RSNs) independently using EEG microstates. We combined electrophysiological source imaging and independent component analysis to obtain cortical sources of EEG microstates and compared them to the resting state networks independently derived from simultaneously measured BOLD fMRI. Our results revealed for the first time that the EEG-microstate-derived RSNs are of both high spatial similarity and temporal correlation with BOLD fMRI RSNs.