By as early as age 2, autistic children appear to have a smaller salience network and a larger default mode network, among other differences, than children without the condition.
A novel spatiotemporal deep neural network (stDNN) based on functional magnetic resonance imaging data can use brain features to differentiate between females and males with autism spectrum disorder (ASD).