Clinical neurology in epilepsy at the crossroad of neuroimaging, machine learning, and computational modelling

Epilepsy is a neurological disorder in which patients experience repeated unprovoked seizures. Seizures in epilepsy originate and spread via patient-specific spatial and temporal pathways comprising an abnormal brain network. Disrupting these epileptic networks can enable seizure control; therefore, it is crucial to map, quantify, and understand these networks.

In this talk, I will describe the progress we have made in quantifying the whole-brain structural network abnormalities of patients with focal and generalised epilepsy. I will show how such individualised quantification is enabling prediction of brain surgery outcomes and seizure spread. Finally, I will demonstrate that computational techniques offer a powerful approach to investigate brain function and dysfunction, and can lead to improved clinical decision making, and personalised treatments.