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.