Gyujoon Hwang, Junhao Wen, Susan Sotardi, Edward S Brodkin, Ganesh B Chand, Dominic B Dwyer, Guray Erus, Jimit Doshi, Pankhuri Singhal, Dhivya Srinivasan, Erdem Varol, Aristeidis Sotiras, Paola Dazzan, Rene S Kahn, Hugo G Schnack, Marcus V Zanetti, Eva Meisenzahl, Geraldo F Busatto, Benedicto Crespo-Facorro, Christos Pantelis, Stephen J Wood, Chuanjun Zhuo, Russell T Shinohara, Haochang Shou, Yong Fan, Adriana Di Martino, Nikolaos Koutsouleris, Raquel E Gur, Ruben C Gur, Theodore D Satterthwaite, Daniel H Wolf, Christos Davatzikos
IMPORTANCE: Autism spectrum disorder (ASD) is associated with significant clinical, neuroanatomical, and genetic heterogeneity that limits precision diagnostics and treatment. OBJECTIVE: To assess distinct neuroanatomical dimensions of ASD using novel semisupervised machine learning methods and to test whether the dimensions can serve as endophenotypes also in non-ASD populations. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used imaging data from the publicly available Autism Brain Imaging Data Exchange (ABIDE) repositories as the discovery cohort...
May 1, 2023: JAMA Psychiatry