Abstract

Modelling the brain as a time-varying network of interacting parts has enabled us to study how mental processes are not solely determined by the activity within individual brain regions, but also by cooperations between different brain regions. This data-heavy and graph-based approach intersects the field of neuroscience with ideas in physics and computer science. I will describe a computational approach to decomposing a dynamic brain network into smaller subparts, a process which reveals groups of closely interacting regions in the brain that govern cognitive processes. This approach allows us to study how these neural subsystems change in activity over a few minutes and evolve over a decade of adolescent development.