This research aims to take full advantage of connectivity analysis, where the method can be used to reveal and extract the hidden features presented in neurological disorders. The study would improve the fundamental understanding of the disease and enhance the diagnosis significantly. Functional connectivity extracted from epileptic patients will be explored in different frequency bands and compared with the control population to generate distinct patterns that can be used as a key parameters of classification algorithm. The comparison of connectivity patterns for different stages of seizure will be investigated as well.
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