Quantitative analysis of brain activity is another major strength of our lab. We develop methods to extract clinically meaningful information from complex neurophysiological recordings, including EEG, intracranial EEG (iEEG), and MEG.
Our work has revealed that seizure dynamics vary substantially within individual patients, with seizure network pathways evolving across circadian and longer timescales. We have also shown that anti-seizure medications influence seizures through distinct mechanisms, either selectively suppressing specific seizure patterns or shortening their duration.
A major focus of our research is identifying pathological brain tissue from electrophysiological recordings. We developed large-scale normative maps of interictal iEEG activity, including a multi-centre atlas spanning 502 subjects across 15 centres that accounts for demographic and recording-related variability. Combining these normative approaches with advanced MRI analyses, we have demonstrated that multimodal integration can improve localisation of epileptogenic tissue and prediction of surgical outcomes.
More broadly, we use quantitative neurophysiology to challenge and refine long-standing clinical assumptions, providing new insights into epilepsy networks and their implications for treatment.