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Abstract #1907

Structural and functional evolution of temporal lobe epilepsy using linear regression modeling

Victoria L Morgan 1 , Alexander S. Dagley 1 , Hakmook Kang 2 , Bassel Abou-Khalil 3 , and Baxter P. Rogers 1

1 Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States, 2 Biostatistics, Vanderbilt University, Tennessee, United States, 3 Neurology, Vanderbilt University, Tennessee, United States

We used elastic net linear regression to identify regional structural and functional parameters that predict duration of temporal lobe epilepsy to quantify the evolution of the disease. We found that the volume of regions including the thalamus, putamen, entorhinal cortex and the hippocampus decrease linearly as duration increases. Functional connectivity between many regions including the left hippocampus and the right insula, left and right insula, and the right hippocampus and the left thalamus also vary linearly as duration of disease increases. The identification of this network can inform decisions on surgical treatment and prediction of surgical outcome.

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