Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification

Abstract Sensory processing and motor coordination atypicalities are not commonly identified as primary characteristics of autism spectrum disorder (ASD), nor are they well captured in the NIMH’s original Research Domain Criteria (RDoC) framework. Here, motor and sensory features performed similarly...

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Autores principales:	Laura A. Harrison, Anastasiya Kats, Emily Kilroy, Christiana Butera, Aditya Jayashankar, Umit Keles, Lisa Aziz-Zadeh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6c42f08ecff84f54b291ca431f3fc93b
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spelling	oai:doaj.org-article:6c42f08ecff84f54b291ca431f3fc93b2021-12-02T14:37:46ZMotor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification10.1038/s41598-021-87455-w2045-2322https://doaj.org/article/6c42f08ecff84f54b291ca431f3fc93b2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87455-whttps://doaj.org/toc/2045-2322Abstract Sensory processing and motor coordination atypicalities are not commonly identified as primary characteristics of autism spectrum disorder (ASD), nor are they well captured in the NIMH’s original Research Domain Criteria (RDoC) framework. Here, motor and sensory features performed similarly to RDoC features in support vector classification of 30 ASD youth against 33 typically developing controls. Combining sensory with RDoC features boosted classification performance, achieving a Matthews Correlation Coefficient (MCC) of 0.949 and balanced accuracy (BAcc) of 0.971 (p = 0.00020, calculated against a permuted null distribution). Sensory features alone successfully classified ASD (MCC = 0.565, BAcc = 0.773, p = 0.0222) against a clinically relevant control group of 26 youth with Developmental Coordination Disorder (DCD) and were in fact required to decode against DCD above chance. These findings highlight the importance of sensory and motor features to the ASD phenotype and their relevance to the RDoC framework.Laura A. HarrisonAnastasiya KatsEmily KilroyChristiana ButeraAditya JayashankarUmit KelesLisa Aziz-ZadehNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Laura A. Harrison Anastasiya Kats Emily Kilroy Christiana Butera Aditya Jayashankar Umit Keles Lisa Aziz-Zadeh Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification
description	Abstract Sensory processing and motor coordination atypicalities are not commonly identified as primary characteristics of autism spectrum disorder (ASD), nor are they well captured in the NIMH’s original Research Domain Criteria (RDoC) framework. Here, motor and sensory features performed similarly to RDoC features in support vector classification of 30 ASD youth against 33 typically developing controls. Combining sensory with RDoC features boosted classification performance, achieving a Matthews Correlation Coefficient (MCC) of 0.949 and balanced accuracy (BAcc) of 0.971 (p = 0.00020, calculated against a permuted null distribution). Sensory features alone successfully classified ASD (MCC = 0.565, BAcc = 0.773, p = 0.0222) against a clinically relevant control group of 26 youth with Developmental Coordination Disorder (DCD) and were in fact required to decode against DCD above chance. These findings highlight the importance of sensory and motor features to the ASD phenotype and their relevance to the RDoC framework.
format	article
author	Laura A. Harrison Anastasiya Kats Emily Kilroy Christiana Butera Aditya Jayashankar Umit Keles Lisa Aziz-Zadeh
author_facet	Laura A. Harrison Anastasiya Kats Emily Kilroy Christiana Butera Aditya Jayashankar Umit Keles Lisa Aziz-Zadeh
author_sort	Laura A. Harrison
title	Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification
title_short	Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification
title_full	Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification
title_fullStr	Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification
title_full_unstemmed	Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification
title_sort	motor and sensory features successfully decode autism spectrum disorder and combine with the original rdoc framework to boost diagnostic classification
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6c42f08ecff84f54b291ca431f3fc93b
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Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification

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