Towards Optimal Methods for Functional Network Analysis in the Clinic
Functional connectivity, characterising coordinated activity across the brain, has shown great promise as a clinical tool. There has also been a lot of recent interest in applying graph theory to functional connectivity analysis. However, there has been little effort to refine such methods for best sensitivity to the connectivity features relevant to particular diseases: epilepsy, for example, is characterised by excessive synchronous activity during seizures. The aim of this project is to develop methods for optimally detecting important functional connectivity features in individual patients, based on clinical cohorts of children scanned at Great Ormond Street Hospital.