Epilepsy surgery

Epilepsy surgery aims to remove brain tissue responsible for generating seizures, but many patients continue to experience seizures after treatment. One of the main challenges is accurately identifying the epileptogenic tissue before surgery.

Our research develops computational and data-driven methods to improve localisation and predict surgical outcomes. We have shown that interictal functional brain networks, combined with computational models, can predict outcomes and identify potential alternative surgical targets. 

We have also used diffusion MRI and machine learning to uncover white matter connections associated with postoperative seizure freedom.

In addition, we use scalp EEG, intracranial EEG, MEG, and MRI to study epileptogenic networks and improve localisation. Many of our projects combine multiple imaging and electrophysiological modalities to support more precise and personalised epilepsy surgery.