Multidimensional Neuroanatomical Subtyping of Autism Spectrum Disorder. (14th September 2017)

• Record Type: Journal Article
• Authors: Hong, Seok-Jun; Valk, Sofie L; Di Martino, Adriana; Milham, Michael P; Bernhardt, Boris C
• Is Part Of: Cerebral cortex. Volume 28:Number 10(2018)
• Page Start: 3578
• Page End: 3588
• Publication Date: 2017-09-14
• Subjects: autism -- biomarker -- biotype -- computational neuroanatomy -- magnetic resonance imaging -- subtype; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhx229
• Languages: English
• ISSNs: 1047-3211

Abstract

Abstract: Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders with multiple biological etiologies and highly variable symptoms. Using a novel analytical framework that integrates cortex-wide MRI markers of vertical (i.e., thickness, tissue contrast) and horizontal (i.e., surface area, geodesic distance) cortical organization, we could show that a large multi-centric cohort of individuals with ASD falls into 3 distinctive anatomical subtypes ( ASD-I : cortical thickening, increased surface area, tissue blurring; ASD-II : cortical thinning, decreased distance; ASD-III : increased distance). Bootstrap analysis indicated a high consistency of these biotypes across thousands of simulations, while analysis of behavioral phenotypes and resting-state fMRI showed differential symptom load (i.e., Autism Diagnostic Observation Schedule; ADOS) and instrinsic connectivity anomalies in communication and social-cognition networks. Notably, subtyping improved supervised learning approaches predicting ADOS score in single subjects, with significantly increased performance compared to a subtype-blind approach. The existence of different subtypes may reconcile previous results so far not converging on a consistent pattern of anatomical anomalies in autism, and possibly relate the presence of diverging corticogenic and maturational anomalies. The high accuracy for symptom severity prediction indicates benefits of MRI biotyping for personalized diagnostics and may guide the development of targeted therapeutic strategies.