Efficient testing of treatment scenarios for brain disorders through large-scale computer simulations

There are several approaches on how to improve brain function for brain disorders, ranging from drug application or behavioural therapies to surgery and brain stimulation. There are also several options within each approach, e.g. what drug to give or which part of the brain to surgically remove. In this project, we will develop a computational framework for informing the decision on the right approach and target in individual patients. Our hypothesis is that testing only a subset of all possible approaches is sufficient to discover treatment solutions which are near-optimal by maximising treatment effects and minimising side effects.