Advanced neuroimaging is one of our lab’s core strengths. We develop computational methods to detect and quantify subtle structural brain abnormalities that are often invisible on routine clinical inspection, with a particular focus on epilepsy.
Our work has shown that removing tissue identified as abnormal on diffusion MRI is associated with improved seizure outcomes, and that combining MRI with intracranial EEG can enhance localisation of epileptogenic tissue. We also develop and apply advanced imaging biomarkers, machine learning approaches, and multimodal analyses to better understand brain network abnormalities and support clinical decision-making.
To accelerate research across the field, we created and openly released the Imaging Database for Epilepsy and Surgery (IDEAS), which contains MRI and detailed surgical outcome data from hundreds of patients, alongside a large-scale diffusion MRI and brain connectivity dataset (IDEAS II).