A transdiagnostic approach to neurodevelopment

Human brain development takes a long time and results in highly variable outcomes, including neurodevelopmental and child psychiatric conditions. This variability in brain development is important for understanding differences in cognition, mental health and learning. But measuring and mapping that variability is extremely challenging. This talk showcases the application of different computational frameworks that address three crucial developmental challenges. Firstly, how do we capture the incredible cognitive heterogeneity that exists across childhood and adolescence, and do these differences map to established diagnostic categories? Secondly, can we build developmental models that formalise simple biological principles in order to capture complex developmental phenomena? Thirdly, can we use these models to bridge scales and species to establish fundamental and causal mechanisms that shape development?