Cortical thickness change in autism during early childhood: CT in Early Childhood ASD
Open accessAbstract
Structural magnetic resonance imaging (MRI) scans at high spatial resolution can detect potential foci of early brain dysmaturation in children with autism spectrum disorders (ASD). In addition, comparison between MRI and behavior measures over time can identify patterns of brain change accompanying specific outcomes. We report structural MRI data from two time points for a total of 84 scans in children with ASD and 30 scans in typical controls (mean age time one = 4.1 years, mean age at time two = 6.6 years). Surface-based cortical morphometry and linear mixed effects models were used to link changes in cortical anatomy to both diagnostic status and individual differences in changes in language and autism severity. Compared with controls, children with ASD showed accelerated gray matter volume gain with age, which was driven by a lack of typical age-related cortical thickness (CT) decrease within 10 cortical regions involved in language, social cognition, and behavioral control. Greater expressive communication gains with age in children with ASD were associated with greater CT gains in a set of right hemisphere homologues to dominant language cortices, potentially identifying a compensatory system for closer translational study. Hum Brain Mapp 37:2616-2629, 2016. © 2016 Wiley Periodicals, Inc.
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Longitudinal imaging and associating neuroimaging data with longitudinal behavioural outcomes can address some limitations by characterizing differences within participants.
“Longitudinal imaging 77 as well as associating neuroimaging data with longitudinal behavioural outcomes 78 can address some of these limitations characterizing differences within participants.”
From Autism spectrum disorder (2020) · cites this paper as [77]
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Additional file 1 of Cortical and subcortical morphological alteration in Angelman syndrome
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- Authors
- Smith, E., Thurm, A., Greenstein, D., Farmer, C., Swedo, S., Giedd, J., & Raznahan, A.
- Affiliations
- National Institutes of Health (US)
- National Institute of Mental Health (US)
- University of California San Diego (US)
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2016-04-07
- Volume
- 37
- Issue
- 7
- Pages
- 2616-2629
- ISSN
- 1065-9471 (ISSN-L)
- PMC
- PMC4905793
- OpenAlex
- W2341875655
- Cited by
- 53
- References
- 82
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 10 · 2023: 3 · 2022: 5 · 2021: 4 · 2020: 7 · 2019: 6 · 2018: 6 · 2017: 5 · 2016: 2
- FWCI
- 4.02
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- ZIA (MH002914)
- Intramural Program of the National Institute of Mental Health of the National Institute of Health (Protocols 06-M-0102, NCT00298246)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Keywords
- autism spectrum disorder, cortical thickness, early childhood brain development, language development, autism severity, social cognition, behavioral control
- MeSH terms
- Autistic Disorder, Cerebral Cortex, Child, Child, Preschool, Female, Humans, Individuality, Language, Magnetic Resonance Imaging, Male, Organ Size, Severity of Illness Index, Cohort Studies, Linear Models, Gray Matter
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