Abstract #5335

Quantitative data-driven analysis for resting-state fMRI data reveals functional connectivity differences in epilepsy patients

Yanlu Wang^1,2, Ivanka Savic Berglund³, Martin Uppman², and Tie-Qiang Li^1,2

¹Medical Radiation and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden, ²Department of Clinical Sciences, Intervention and Technology, Karolinska Institute, Stockholm, Sweden, ³Department of Women's and Children's Health, Karolinska University Hospital, Stockholm, Sweden

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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