Linking Structure to Function in Sensory Networks of Autism Spectrum Disorder

Our proposal combines structural and functional information about brain networks and how they change in the context of autism spectrum disorder (ASD). The goals are to collect high-resolution whole-brain datasets using hard X-ray nano-tomography, and to combine these data with our whole-brain functional datasets. Our initial data collection successfully generated structural data from seven individual animals, which we have linked to the corresponding brain-wide activity in these animals' brains. In this continuation, we aim to complete our dataset with additional animals and developmental ages. This will allow the confirmation and further characterisation of the phenotype that we have observed, and will produce the necessary data for using Generative Adversarial Networks (GAN) to detect subtle structural phenotypes in our models of ASD.