Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD

► Diffusion based pattern classifier that creates a quantifiable marker of pathology. ► Supports diagnosis and gives a potential biomarker of neuropsychiatric disorders. ► Produces ranking of atlas-based regions providing physiological insight. ► Abnormality scores can be correlated with population specific clinical scores. ► Applied to an example population of autism with a high classification accuracy.