Abstract:Objective To investigate the prevalence and type of abnormal brain structure in preschool and school-aged children with autism spectrum disorder (ASD). Methods A total of 74 252 preschool and school-aged children aged 3-12 years in Shanghai were enrolled as subjects. A questionnaire survey was performed to collect basic information, and their parents and teachers completed the Social Communication Questionnaire (SCQ) based on the children's conditions. ASD was diagnosed by specialist physicians according to the DSM-5 criteria. Brain magnetic resonance imaging (MRI) was performed according to their parents' desires. Results The overall prevalence rate of ASD was 2.59‰ (192/74 252) in the preschool and school-aged children. Brain MRI data were collected from 73 children with ASD and 185 healthy children. Among the 73 children with ASD, 40 (55%) had abnormal brain structure, and the most common types were unilateral or bilateral ventriculomegaly in 32 children (80%) and unilateral or bilateral deep frontotemporal sulci in 12 children (30%). Children with ASD showed lower white matter signal in bilateral ventricular and unilateral or bilateral deep frontotemporal sulci, compared to their normal peers (P < 0.05). Conclusions There is a high prevalence rate of abnormal brain structure in preschool and school-aged children with ASD, with major types of unilateral or bilateral ventriculomegaly and unilateral or bilateral deep frontotemporal sulci. It is speculated that abnormal brain structure might be associated with the pathogenesis of ASD, and further studies are needed to clarify the association between abnormal brain structure and symptoms in children with ASD.
ZHANG An-Yi,JIN Xing-Ming,MA Jun. Abnormal brain structure in preschool and school-aged children with autism spectrum disorder[J]. CJCP, 2019, 21(8): 749-753.
Lai MC, Lombardo MV, Baron-Cohen S. Autism[J]. Lancet, 2014, 383(9920):896-910.
[2]
Autism and Developmental Disabilities Monitoring Network Surveillance Year 2000 Principal Investigators, Centers for Disease Control and Prevention. Prevalence of autism spectrum disorders -autism and developmental disabilities monitoring network, six sites, United States, 2000[J]. MMWR Surveill Summ, 2007, 56(1):1-11.
[3]
Autism and Developmental Disabilities Monitoring Network Surveillance Year 2008 Principal Investigators, Centers for Disease Control and Prevention. Prevalence of autism spectrum disorders -autism and developmental disabilities monitoring network, 14 Sites, United States, 2008[J]. MMWR Surveill Summ, 2012, 61(3):1-19.
[4]
Li D, Karnath HO, Xu X. Candidate biomarkers in children with autism spectrum disorder:a review of MRI studies[J]. Neurosci Bull, 2017, 33(2):219-237.
[5]
Goldani AA, Downs SR, Widjaja F, et al. Biomarkers in autism[J]. Front Psychiatry, 2014, 5:100.
[6]
Gori I, Giuliano A, Muratori F, et al. Gray matter alterations in young children with autism spectrum disorders:comparing morphometry at the voxel and regional level[J]. J Neuroimaging, 2015, 25(6):866-874.
[7]
Wang SS, Kloth AD, Badura A. The cerebellum, sensitive periods, and autism[J]. Neuron, 2014, 83(3):518-532.
[8]
Weir RK, Bauman MD, Jacobs B, et al. Protracted dendritic growth in the typically developing human amygdala and increased spine density in young ASD brains[J]. J Comp Neurol, 2018, 526(2):262-274.
[9]
Hanaie R, Mohri I, Kagitani-Shimono K, et al. Abnormal corpus callosum connectivity, socio-communicative deficits, and motor deficits in children with autism spectrum disorder:a diffusion tensor imaging study[J]. J Autism Dev Disord, 2014, 44(9):2209-2220.
[10]
Chaddad A, Desrosiers C, Hassan L, et al. Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder[J]. BMC Neurosci, 2017, 18(1):52.
[11]
Chen C, Jin Z, Yang Y, et al. Prevalence of grade 1, 2 and 3 thinness is associated with lower socio-economic status in children in Shanghai, China[J]. Public Health Nutr, 2016, 19(11):2002-2010.
[12]
Marvin AR, Marvin DJ, Lipkin PH, et al. Analysis of Social Communication Questionnaire (SCQ) screening for children less than age 4[J]. Curr Dev Disord Rep, 2017, 4(4):137-144.
[13]
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders-fifth edition[M]. Arlington, VA:American Psychiatric Publishing, 2013:50-59.
[14]
Sun X, Allison C, Wei L, et al. Autism prevalence in China in comparable to Western prevalence[J]. Mol Autism, 2019, 10:7.
[15]
Heys M, Gibbons F, Haworth E, et al. The estimated prevalence of autism in school-aged children living in rural Nepal using a population-based screening tool[J]. J Autism Dev Disord, 2018, 48(10):3483-3498.
[16]
Durkin MS, Maenner MJ, Baio J, et al. Autism spectrum disorder among US children (2002-2010):socioeconomic, racial, and ethnic disparities[J]. Am J Public Health, 2017, 107(11):1818-1826.
Laihart JE. Brain imaging research in autism spectrum disorders:in search of neuropathology and health across the lifespan[J]. Curr Opin Psychiatry, 2015, 28(2):76-82.
[20]
Nordahl CW, Scholz R, Yang X, et al. Increased rate of amygdala growth in children aged 2 to 4 years with autism spectrum disorders:a longitudinal study[J]. Arch Gen Psychiatry, 2012, 69(1):53-61.
[21]
Turner AH, Greenspan KS, van Erp TGM. Pallidum and lateral ventricle volume enlargement in autism spectrum disorder[J]. Psychiarty Res Neuroimaging, 2016, 252:40-45.
[22]
Auzias G, Viellard M, Takerkart S, et al. Atypical sulcal anatomy in young children with autism spectrum disorder[J]. Neuroimage Clin, 2014, 4:593-603.
[23]
Blanken LME, Muetzel RL, Jaddoe VWV, et al. White matter microstructure in children with autistic traits[J]. Psychiatry Res Neuroimaging, 2017, 263:127-134.
[24]
Ameis SH, Catani M. Altered white matter connectivity as a neural substrate for social impairment in autism spectrum disorder[J]. Cortex, 2015, 62:158-181.
[25]
Atad-Rapoport M, Schweiger A, Lev D, et al. Neuropsy-chological follow-up at school age of children with asymmetric ventricles or unilateral ventriculomegaly identified in utero[J]. BJOG, 2015, 122(7):932-938.
[26]
Yoshimura Y, Kikuchi M, Hayashi N, et al. Altered human voice processing in the frontal cortex and a developmental language delay in 3-to 5-year-old children with autism spectrum disorder[J]. Sci Rep, 2017, 7(1):17116.
[27]
Wolff JJ, Jacob S, Elison JT. The journey to autism:insights from neuroimaging studies of infants and toddlers[J]. Dev Psychopathol, 2018, 30(2):479-495.
[28]
Valvo G, Baldini S, Retico A, et al. Temporal lobe connects regression and macrocephaly to autism spectrum disorders[J]. Eur Child Adolesc Psychiatry, 2016, 25(4):421-429.
[29]
Cardon GJ, Hepburn S, Rojas DC. Structural covariance of sensory networks, the cerebellum, and amygdala in autism spectrum disorder[J]. Front Neurol, 2017, 8:615.
[30]
Varghese M, Keshav N, Jacot-Descombes S, et al. Autism spectrum disorder:neuropathology and animal models[J]. Acta Neuropathol, 2017, 134(4):537-566.