The screening tools for ASD depend upon behavioural measures which are somewhat discriminatory from 18 months of age. While children with neonatal and obstetric insults have been known to be at a higher risk for ASD in general, it is also suspected that brain changes have long preceded the identifiable behavioural signs even in those without such known brain insults. However, at this point in time, reliable and clinically valid measures of neural activity that help with early identification of ASD are not available.
This centre will develop computational models of brain development trajectories using neuroimaging and physiological signals using advancements in machine and deep learning technologies.