Machine Learning Techniques Implemented ON Structural MRI Features at Different Spatial Scales for Preschoolers with Autism Spectrum Disorders

Introduction: In the present study we aim to explore the predictive power of structural brain magnetic resonance imaging (sMRI) data of autism spectrum disorders (ASD) on preschoolers. We highlighted the neuroanatomical alterations that account for two-class separation in a case-control study through a support vector machine (SVM) classification.