Chen, Di, Jia, Tianye, Zhang, Yuning, Cao, Miao, Loth, Eva, Lo, Chun-Yi Zac, Cheng, Wei, Liu, Zhaowen, Gong, Weikang, Sahakian, Barbara Jacquelyn and Feng, Jianfeng (2021) Neural biomarkers distinguish severe from mild autism spectrum disorder among high-functioning individuals. Frontiers in Human Neuroscience, 15 . 657857. doi:10.3389/fnhum.2021.657857 ISSN 1662-5161.

Preview

PDF fnhum-15-657857.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (3219Kb) | Preview

Request Changes to record.

Abstract

Several previous studies have reported atypicality in resting-state functional connectivity (FC) in autism spectrum disorder (ASD), yet the relatively small effect sizes prevent us from using these characteristics for diagnostic purposes. Here, canonical correlation analysis (CCA) and hierarchical clustering were used to partition the high-functioning ASD group (i.e., the ASD discovery group) into subgroups. A support vector machine (SVM) model was trained through the 10-fold strategy to predict Autism Diagnostic Observation Schedule (ADOS) scores within the ASD discovery group ( = 0.30, < 0.001, = 260), which was further validated in an independent sample (i.e., the ASD validation group) ( = 0.35, = 0.031, = 29). The neuroimage-based partition derived two subgroups representing severe versus mild autistic patients. We identified FCs that show graded changes in strength from ASD-severe, through ASD-mild, to controls, while the same pattern cannot be observed in partitions based on ADOS score. We also identified FCs that are specific for ASD-mild, similar to a partition based on ADOS score. The current study provided multiple pieces of evidence with replication to show that resting-state functional magnetic resonance imaging (rsfMRI) FCs could serve as neural biomarkers in partitioning high-functioning autistic individuals based on their symptom severity and showing advantages over traditional partition based on ADOS score. Our results also indicate a compensatory role for a frontocortical network in patients with mild ASD, indicating potential targets for future clinical treatments.

Item Type:	Journal Article
Subjects:	Q Science > QP Physiology R Medicine > RC Internal medicine
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
SWORD Depositor:	Library Publications Router
Library of Congress Subject Headings (LCSH):	Autism spectrum disorders, Biochemical markers -- Diagnostic use, Brain -- Magnetic resonance imaging, Asperger's syndrome
Journal or Publication Title:	Frontiers in Human Neuroscience
Publisher:	Frontiers Research Foundation
ISSN:	1662-5161
Official Date:	6 May 2021
Dates:	Date Event 6 May 2021 Published 11 March 2021 Accepted
Volume:	15
Article Number:	657857
DOI:	10.3389/fnhum.2021.657857
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	18 February 2022
Date of first compliant Open Access:	23 February 2022
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID 2019YFA0709501 National Key R&D Program of China UNSPECIFIED 2018YFC1312900 National Key R&D Program of China UNSPECIFIED 2019YFA0709502 National Key R&D Program of China UNSPECIFIED 91630314 [NSFC] National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809 81801773 [NSFC] National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809 16JC1420402 Shanghai Science & Technology UNSPECIFIED 2018SHZDZX01 Shanghai Municipal Science & Technology UNSPECIFIED 18PJ1400900 Shanghai Pujiang Project UNSPECIFIED
Is Part Of:	1

Request changes or add full text files to a record

Repository staff actions (login required)

View Item

Downloads