The aim of this project is to develop precision digital twins of human brain function to tailor surgical intervention for focal epilepsies. This will involve: 1) development of novel geometric-deep learning technologies that simulate human brain functional dynamics in response to stimuli to 2) precisely locate the sites of epileptogenic brain lesions and 3) build in silico trials of surgical treatment. Structural abnormalities that can cause epileptic seizures can be difficult to detect from imaging, and even when they can, removing them by performing a surgical resection does not always stop seizures. This project seeks to model whether we can characterise alterations in brain dynamics – measured with functional imaging, such as EEG and fMRI – to improve localisation of focal epilepsies and ultimately predict how individual patients will respond to treatment.
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Neurological digital twins: precision surgical planning of epilepsy treatment
