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Abstract #5335

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

Yanlu Wang1,2, Ivanka Savic Berglund3, Martin Uppman2, and Tie-Qiang Li1,2

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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