Brain stimulation is an increasingly important treatment for people with drug-resistant epilepsy, but it does not work for everyone, and the reasons are not well understood. Our early work used computational models to predict the response to single-pulse stimulation, to find optimal stimulation protocols for aborting seizures, and to review computational modelling in brain stimulation.
More recently, we have analysed real stimulation data, showing that the effect of intracranial stimulation on brain activity is often inconsistent across sessions and frequently hard to distinguish from natural fluctuations, which is an important consideration for therapy design.
We are also working to predict who will benefit from neuromodulation: we have reviewed factors predictive of vagus nerve stimulation (VNS) response and shown that hippocampal abnormality on MRI relates to VNS response.