Resting state networks analysis using simultaneous EEG-fMRI for epilepsy patient

Abstract

The resting state EEG-fMRI has opened a new avenue in not only neuro cognitive studies but it has also found practical utility in clinical applications. We studied the Resting State Networks on Epilepsy Patient to understand the neuronal substrates involved in epilepsy. Five epilepsy patients were undertaken for simultaneous EEG-fMRI study. EEG microstates was computed and was considered as explanatory variables in the GLM design for the analysis of fMRI data in an event related design. z-stats and independent component was examined for simultaneous EEG-fMRI. We hypothesized that it's possible to analyze the affected brain areas for epileptiform discharges in epileptic patients at resting state. Microstates convolved functional image and its independent components using hybrid technique including both the neuronal and hemodynamic information was demonstrated on patients structural image. From this result we conclude that using EEG microstate and Independent Component Analysis (ICA) of resting fMRI we may examine the brain areas involved in resting state brain discharge. Also it will be useful for the analysis of EEG-fMRI data in which electrical epileptic discharge are not apparent on scalp EEG at the time of data acquisition. © 2013 Springer.