Chapter

Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)

Volume 222 of the series Lecture Notes in Electrical Engineering pp 607-617

Date:

Resting State Networks Analysis Using Simultaneous EEG-fMRI for Epilepsy Patient

  • Rajanikant PandaAffiliated withCognitive Neuroscience Center, National Institute of Mental health and Neuroscience
  • , Rose Dawn BharathAffiliated withCognitive Neuroscience Center, National Institute of Mental health and Neuroscience Email author 
  • , Sandhya MangaloreAffiliated withCognitive Neuroscience Center, National Institute of Mental health and Neuroscience
  • , Neeraj UpadhyayAffiliated withCognitive Neuroscience Center, National Institute of Mental health and Neuroscience
  • , A. ThamodharanAffiliated withCognitive Neuroscience Center, National Institute of Mental health and Neuroscience
  • , Silpa KanungoAffiliated withCognitive Neuroscience Center, National Institute of Mental health and Neuroscience

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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.

Keywords

EEG fMRI GLM Resting State Network EEG-microstate ICA