Johanna Inhyang Kim, Sungkyu Bang, Jin-Ju Yang, Heejin Kwon, Soomin Jang, Sungwon Roh, Seok Hyeon Kim, Mi Jung Kim, Hyun Ju Lee, Jong-Min Lee, Bung-Nyun Kim
Multimodal imaging studies targeting preschoolers and low-functioning autism spectrum disorder (ASD) patients are scarce. We applied machine learning classifiers to parameters from T1-weighted MRI and DTI data of 58 children with ASD (age 3-6 years) and 48 typically developing controls (TDC). Classification performance reached an accuracy, sensitivity, and specificity of 88.8%, 93.0%, and 83.8%, respectively. The most prominent features were the cortical thickness of the right inferior occipital gyrus, mean diffusivity of the middle cerebellar peduncle, and nodal efficiency of the left posterior cingulate gyrus...
January 4, 2022: Journal of Autism and Developmental Disorders