Annual Research Review: Understudied populations within the autism spectrum – current trends and future directions in neuroimaging research
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Background: Autism spectrum disorders ( ASD s) are a heterogeneous group of neurodevelopmental conditions that vary in both etiology and phenotypic expression. Expressions of ASD characterized by a more severe phenotype, including autism with intellectual disability ( ASD + ID ), autism with a history of developmental regression ( ASD + R), and minimally verbal autism ( ASD + MV ) are understudied generally, and especially in the domain of neuroimaging. However, neuroimaging methods are a potentially powerful tool for understanding the etiology of these ASD subtypes. Scope and methodology: This review evaluates existing neuroimaging research on ASD + MV , ASD + ID , and ASD + R, identified by a search of the literature using the PubMed database, and discusses methodological, theoretical, and practical considerations for future research involving neuroimaging assessment of these populations. Findings: There is a paucity of neuroimaging research on ASD + ID , ASD + MV , and ASD + R, and what findings do exist are often contradictory, or so sparse as to be ungeneralizable. We suggest that while greater sample sizes and more studies are necessary, more important would be a paradigm shift toward multimodal (e.g. imaging genetics) approaches that allow for the characterization of heterogeneity within etiologically diverse samples.
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Another limitation concerns potential heterogeneity in the ASD group.
“Another limitation of our work concerns potential heterogeneity in the ASD group57.”
From Brain network dynamics in high-functioning individuals with autism (2017) · cites this paper as [57]
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- Heung K Is autistic regression too narrowly defined? 2008 (Doctoral dissertation). Available from ProQuest Dissertations and Theses database. (UMI No. 3317935)
- Westphal A The Place of Childhood Disintegrative Disorder on the Autism Spectrum 2013 (Doctoral dissertation). Available from ProQuest Dissertations and Theses database. (UMI No. 3578470)
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A systematic review of statistical learning in autism spectrum disorder
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Language Level Predicts Perceptual Categorization of Complex Reversible Events in Children
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Different brain networks underlying intelligence in Autism Spectrum DisordersPreprint
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The latent structure of the Delis–Kaplan system for autism
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- Authors
- Jack, A., & A. Pelphrey, K.
- Affiliations
- George Washington University (US)
- Autism and Neurodevelopmental Disorders Institute The George Washington University Ashburn VA USA
- Corresponding author
- Jack, Allison
- ORCID
- Jack, Allison
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 2017-01-19
- Volume
- 58
- Issue
- 4
- Pages
- 411-435
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- PMC
- PMC5367938
- OpenAlex
- W2577978291
- Cited by
- 159
- References
- 129
- Citations by year
- 2026: 16 · 2025: 26 · 2024: 16 · 2023: 7 · 2022: 33 · 2021: 19 · 2020: 15 · 2019: 12 · 2018: 11 · 2017: 4
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Child Psychology and Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (T32 MH018268)
- 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 › Child Nutrition and Feeding Issues
- Keywords
- autism spectrum disorder, minimally verbal autism, neuroimaging, ASD subtypes, ASD etiology, multimodal neuroimaging, imaging genetics
- MeSH terms
- Autism Spectrum Disorder, Adolescent, Child, Child, Preschool, Humans, Biomedical Research, Neuroimaging
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