ArticleScientific reports2020
Atypical age-related changes in cortical thickness in autism spectrum disorder.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Atypical local brain connectivity in pediatric autism spectrum disorder? A coordinate-based meta-analysis of regional homogeneity studies.European archives of psychiatry and clinical neuroscience · 2024Pooled it
- Linking Brain Morphometry to Psychometric Measures and Energy-Metabolic Biomarkers in Adults With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026Article
- Autism and Cortical Thickness Deviation From Neurotypical Controls: Evidence for a Spatial Association With Serotonin Receptors.Autism research : official journal of the International Society for Autism Research · 2026Article
- Atypical development of white matter structural networks in children and adolescents with autism spectrum disorder: a graph theory study.Frontiers in neuroscience · 2026Article
- Age-stratified multimodal MRI and machine learning to explore autism-related brain characteristics in youth.Frontiers in psychiatry · 2026Article
- Neuroanatomical patterns of dementia risk in autism spectrum disorder.Frontiers in aging neuroscience · 2026Article
- Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations With Developmental Outcomes.Autism research : official journal of the International Society for Autism Research · 2025Review
- Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood.Molecular autism · 2025Article
- Cortical Thickness Differences in Autistic Children With and Without Intellectual Disability.Autism research : official journal of the International Society for Autism Research · 2025Article
- Sex differences in trajectories of cortical development in autistic children from 2-13 years of age.Molecular psychiatry · 2024Article
- Volume-based and Surface-Based Methods in Autism Compared with Healthy Controls Are Free surfer and CAT12 in Agreement?Iranian journal of child neurology · 2024Article
- A personalized classification of behavioral severity of autism spectrum disorder using a comprehensive machine learning framework.Scientific reports · 2023Article
- Application of Multimodal MRI in the Early Diagnosis of Autism Spectrum Disorders: A Review.Diagnostics (Basel, Switzerland) · 2023Review
- Diagnosis of autism spectrum disorder based on functional brain networks and machine learning.Scientific reports · 2023Article
- Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder.Scientific reports · 2023Article
- The genetics of autism and steroid-related traits in prenatal and postnatal life.Frontiers in endocrinology · 2023Article
- Developmental abnormalities of structural covariance networks of cortical thickness and surface area in autistic infants within the first 2 years.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging.PLoS biology · 2022Article
- The Role of Structure MRI in Diagnosing Autism.Diagnostics (Basel, Switzerland) · 2022Article
- Autism spectrum disorders pathogenesis: Toward a comprehensive model based on neuroanatomic and neurodevelopment considerations.Frontiers in neuroscience · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Recent longitudinal neuroimaging and neurophysiological studies have shown that tracking relative age-related changes in neural signals, rather than a static snapshot of a neural measure, could offer higher sensitivity for discriminating typically developing (TD) individuals from those with autism spectrum disorder (ASD). It is not clear, however, which aspects of age-related changes (trajectories) would be optimal for identifying atypical brain development in ASD. Using a large cross-sectional data set (Autism Brain Imaging Data Exchange [ABIDE] repository; releases I and II), we aimed to explore age-related changes in cortical thickness (CT) in TD and ASD populations (age range 6-30 years old). Cortical thickness was estimated from T1-weighted MRI images at three scales of spatial coarseness (three parcellations with different numbers of regions of interest). For each parcellation, three polynomial models of age-related changes in CT were tested. Specifically, to characterize alterations in CT trajectories, we compared the linear slope, curvature, and aberrancy of CT trajectories across experimental groups, which was estimated using linear, quadratic, and cubic polynomial models, respectively. Also, we explored associations between age-related changes with ASD symptomatology quantified as the Autism Diagnostic Observation Schedule (ADOS) scores. While no overall group differences in cortical thickness were observed across the entire age range, ASD and TD populations were different in terms of age-related changes, which were located primarily in frontal and tempo-parietal areas. These atypical age-related changes were also associated with ADOS scores in the ASD group and used to predict ASD from TD development. These results indicate that the curvature is the most reliable feature for localizing brain areas developmentally atypical in ASD with a more pronounced effect with symptomatology and is the most sensitive in predicting ASD development.
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