Dileep R Nair

sEEG-Suite provides a semi-automated pipeline for sEEG contact localization and anatomical labeling within Brainstorm, improving accuracy and efficiency in epileptic network mapping.

The paper revisits the anatomical localization of the frontal eye field and eyelid motor area using electrical cortical stimulation and MRI co-registration in epilepsy patients.

This study uses MRI-based features and machine learning to predict post-traumatic epilepsy, achieving 0.78 AUC accuracy with a kernel support vector machine.

The paper presents a high-resolution MRI atlas with two parcellation schemes, using structural and functional data to improve cortical sub-parcellation.