Structural and functional magnetic resonance imaging of autism spectrum disorders
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The neurobiology of autism spectrum disorders (ASDs) has become increasingly understood since the advent of magnetic resonance imaging (MRI). Initial observations of an above-average head circumference were supported by structural MRI studies that found evidence of increased total brain volume and early rapid brain overgrowth in affected individuals. Subsequent research revealed consistent abnormalities in cortical gray and white matter volume in ASDs. The structural integrity and orientation of white matter have been further elucidated via diffusion tensor imaging methods. The emergence of functional MRI techniques led to an enhanced understanding of the neural circuitry of ASDs, demonstrating areas of dysfunctional cortical activation and atypical cortical specialization. These studies have provided evidence of underconnectivity in distributed cortical networks integral to the core impairments associated with ASDs. Abnormalities in the default-mode network during the resting state have also been identified. Overall, structural and functional MRI research has generated important insights into the neurobiology of ASDs. Additional research is needed to further delineate the underlying brain basis of this constellation of disorders.
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The fronto-cerebellar dysregulation deficits in ASD may be associated with structural brain abnormalities in ASD in cerebellar vermis and left frontal regions, as well as with evidence for abnormal functional and structural fronto-cerebellar connectivity.
“The fronto–cerebellar dysregulation deficits in ASD may be associated with structural brain abnormalities in ASD in cerebellar vermis and left frontal regions,54, 55, 56, 57, 58 as well as with evidence for abnormal functional and structural fronto–cerebellar connectivity.59”
From Disorder-specific functional abnormalities during sustained attention in youth with Attention Deficit Hyperactivity Disorder (ADHD) and with Autism (2013) · cites this paper as [54]
More consistent evidence indicates frontal dysfunctions in ADHD than ASD.
“parallels more consistent evidence for frontal dysfunctions in ADHD7 than ASD54”
From Disorder-specific functional abnormalities during sustained attention in youth with Attention Deficit Hyperactivity Disorder (ADHD) and with Autism (2013) · cites this paper as [54]
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- Authors
- Stigler, K. A., McDonald, B. C., Anand, A., Saykin, A. J., & McDougle, C. J.
- Affiliations
- Riley Hospital for Children (US)
- Indiana University School of Medicine (US)
- Corresponding author
- Stigler, Kimberly A.
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 1380
- Pages
- 146-161
- ISSN
- 0006-8993 (ISSN-L)
- PMC
- PMC3465665
- OpenAlex
- W2025895794
- Cited by
- 197
- References
- 210
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 7 · 2023: 6 · 2022: 13 · 2021: 11 · 2020: 8 · 2019: 10 · 2018: 13 · 2017: 17 · 2016: 14 · 2015: 19 · 2014: 20 · 2013: 17 · 2012: 23
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- Funders
- National Institute of Mental Health (RO1 MH072964)
- Daniel X. and Mary Freedman Foundation (MH082119)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- autism spectrum disorder, neurobiology of autism, brain overgrowth, gray matter volume, white matter integrity, diffusion tensor imaging, cortical activation, cortical specialization, neural circuits, default mode network, resting-state functional connectivity
- MeSH terms
- Brain, Child, Child Development Disorders, Pervasive, Child, Preschool, Humans, Infant, Magnetic Resonance Imaging, Models, Neurological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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