Robust Graph Analysis of Brain Connectivity


A broad range of neurological diseases and disorders have been linked with pathological alterations in the connectivity of the brain. However, robust methods for identifying and characterising abnormalities in connectivity, their evolution over time and response to treatments, are lacking; and addressing this omission represents a pressing clinical need. To establish a clear baseline, we will characterise the typical “normal” connectivity network, and model statistically its variability in a healthy population. We will use magnetic resonance imaging (MRI) and electroencephalography (EEG) to obtain in vivo connectivity information. This work will provide major novel tools for graph analysis of brain connectivity, thereby driving connectivity network methods towards reliable and routine clinical application.