Statistical Parametric Mapping of EEG correlated fMRI data to detect Epileptic foci Ashish Gupta∗ , N.Sivakumaran∗ , Ashalatha R.† , C.Kesavadas† Sujesh S.† Mini M.S† Anakha G.L.† Jija James† Bejoy Thomas† ∗ Department
of Instrumentation and Control Engineering National Institute of Technology, Tiruchirappalli, 620015,Tamil nadu, India Email:
[email protected] † Sree Chitra Institute of Medical Science and Technology, Trivandrum, Kerala, India Email:
[email protected] Abstract—The non-invasive methods such as electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) have been widely used in clinical research for analysis of brain region involved in cognitive, motor and sensory tasks. The multimodal integration of EEG and fMRI provides several advantages over use of individual techniques. In case of epilepsy, the Blood Oxygenated Level Dependent (BOLD) signal change is hypothesized to occur due to interictal spike. In this study, we focus on Statistical Parametric Mapping (SPM) processing of EEG correlated fMRI data. The EEG spikes are used as labelling tool for the General Linear Model (GLM) in fMRI data processing. The statistical tests (t-test or F-test) are applied after estimating the parameters of GLM in SPM toolbox in MATLAB. A number of regions gave BOLD activity as expected in the model with a statistical significance of p
