Quantitative data-driven analysis (QDA) has shown to be robust and intuitive method to extract functional connectivity information from resting-state fMRI data for group-level comparison. In this study, the QDA method is applied to patients suffering from epileptic seizures. Multiple brain regions of significant (p<0.01) differences were detected. The results are consistent with published works in temporal lobe epilepsy and frontal lobe epilepsy in literature using invasive methods. All brain regions experience down-regulation in functional connectivity in epilepsy patients compared to healthy control subjects.
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