[en] The Social Responsiveness Scale (SRS) is an established tool for screening autism. An increasing number of studies have utilized the SRS in the general population as an outcome measure to gain insight into the etiology of autism spectrum disorder (ASD). However, SRS scores have not been well characterized in large pediatric cohorts, particularly in relation to their demographic, genetic, neuroimaging, and comorbidity profiles, or how these patterns compare to those observed in clinically diagnosed ASD. This study included 9788 non-ASD children and 182 autistic children aged 9-11 years from the Adolescent Brain Cognitive Development Study. Generalized linear mixed-effect models were applied to evaluate the associations of short social responsiveness scale (SSRS) with a spectrum of demographic, genetic, neuroimaging, and behavioral characteristics. We estimated the heritability of SSRS using a subsample of twin and sibling data. Our finding revealed that children with higher SSRS exhibited a higher male-to-female ratio. SSRS had a high heritability of 0.52 (95% CI, 0.45-0.63), and higher SSRS scores were correlated with increased polygenic risk for ASD (P < 0.001). Neuroimaging analyses identified both overlapping and unique neurobiological underpinnings, with sex-specific variations in structural and functional connectivity similar to those observed in ASD. Higher SSRS scores were linked to lower fluid intelligence, more behavioral problems, more sleep problems, and more psychotic-like symptoms. These findings highlight both the overlap and distinction between patterns reflected in SSRS scores and those observed in clinical ASD, highlighting the need for caution when interpreting findings only utilizing SRS as the outcome for autistic-like trait.
Disciplines :
Psychiatry Pediatrics
Author, co-author :
Huang, Like ; Department of Developmental and Behavioural Paediatric and Child Primary Care & Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
Huang, Runqi; Department of Developmental and Behavioural Paediatric and Child Primary Care & Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
Sui, Guanghui; Department of Child Health and Care, Huaibei maternal and Child Health Care Hospital, Huaibei, Anhui, China
Du, Wenchong ; NTU Psychology, School of Social Sciences, Nottingham Trent University, Nottingham, UK
Zhou, Li ; Université de Liège - ULiège > Psychologie et Neuroscience Cognitives (PsyNCog)
Luo, Qiang ; Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China. qluo@fudan.edu.cn
Ren, Tai; Department of Developmental and Behavioural Paediatric and Child Primary Care & Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. rt@shsmu.edu.cn
Li, Fei ; Department of Developmental and Behavioural Paediatric and Child Primary Care & Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. feili@shsmu.edu.cn
Language :
English
Title :
Demographic, genetic, neuroimaging, and behavioral correlates of short social responsiveness scale in a large pediatric cohort.
NSCF - National Natural Science Foundation of China
Funding text :
This study was supported by grants from the National Key Research and Development Program of China (No. 2023YFE0109700), the China Brain Initiative Grant (STI2030-Major Projects 2021ZD0200800), the National Natural Science Foundation of China (82125032, 81930095, 81761128035, and 82204048), the Science and Technology Commission of Shanghai Municipality (23Y21900500, 19410713500, and 2018SHZDZX01), the Shanghai Municipal Commission of Health and Family Planning (GWV-11.1\u201334, 2020CXJQ01, and 2018YJRC03), the Shanghai Clinical Key Subject Construction Project (shslczdzk02902), Innovative research team of high-level local universities in Shanghai (SHSMU-ZDCX20211100), and the Guangdong Key Project (2018B030335001).Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development (ABCD) Study ( https://abcdstudy.org ), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9\u201310 and follow them over 10 years into early adulthood. We appreciate the children and their families who have participated in the study. The ABCD Study is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041048,U01DA050989,U01DA051016,U01DA041022,U01DA051018,U01DA051037,U01DA050987,U01DA041174,U01DA041106,U01DA041117,U01DA041028,U01DA041134,U01DA050988,U01DA051039,U01DA041156,U01DA041025,U01DA041120,U01DA051038,U01DA041148,U01DA041093,U01DA041089,U24DA041123,U24DA041147.A full list of supporters is available at https://abcdstudy.org/federal-partners.html . A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/consortium_members/ . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in the analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from [NIMH Data Archive Digital Object Identifier (DOI)]. DOIs can be found at https://doi.org/10.15154/rbtk-xg97 . The computations in this paper were run on the Siyuan-1 cluster supported by the Center for High Performance Computing at Shanghai Jiao Tong University.
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