Surgical outcome prediction in TLE

We have investigated two methods for surgical outcome prediction for selective amygdalo-hippocampectomies for the treatment of temporal lobe epilepsy. In the first, data from MR spectroscopy was combined with region of interest analysis (hippocampal volume) based on anatomical MRI to predict surgical outcome. I recently developed a newer technique with my Ph.D. student Simon Duchesne based on the analysis of voxel-based morphometry analysis of the anatomical MRI alone. By combining the grey-matter density and white matter density of a few locations in the brain in the pre-operative MRI, we were able to predict post-surgical outcome with high accuracy [1]. These results could have significant impact on surgical planning in temporal lobe epilepsy. This study was supported by a CIHR operating grant.

Reference

[1] Bernasconi, N., Duchesne, S., Janke, A., Lerch, J., Collins, D. L., & Bernasconi, A. (2004). Whole-brain voxel-based statistical analysis of gray matter and white matter in temporal lobe epilepsy. Neuroimage, 23(2), 717–723.