Research data supporting "Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy"

Data used to train neural network classifier for FCD detection in a paediatric cohort. These are surface-based cortical features derived from structural MRI data, such as cortical thickness, FLAIR intensity etc. The scripts to generate the surface based features are available through freesurfer (https://surfer.nmr.mgh.harvard.edu/) and our github (https://github.com/kwagstyl/FCDdetection).