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Review of neuroimaging in autism spectrum disorders: what have we learned and where we go from here
Open accessAbstract
Autism spectrum disorder (ASD) refers to a syndrome of social communication deficits and repetitive behaviors or restrictive interests. It remains a behaviorally defined syndrome with no reliable biological markers. The goal of this review is to summarize the available neuroimaging data and examine their implication for our understanding of the neurobiology of ASD.Although there is variability in the literature on structural magnetic resonance literature (MRI), there is evidence of volume abnormalities in both grey and white matter, with a suggestion of some region-specific differences. Early brain overgrowth is probably the most replicated finding in a subgroup of people with ASD, and new techniques, such as cortical-thickness measurements and surface morphometry have begun to elucidate in more detail the patterns of abnormalities as they evolve with age, and are implicating specific neuroanatomical or neurodevelopmental processes. Functional MRI and diffusion tensor imaging techniques suggest that such volume abnormalities are associated with atypical functional and structural connectivity in the brain, and researchers have begun to use magnetic resonance spectroscopy (MRS) techniques to explore the neurochemical substrate of such abnormalities. The data from multiple imaging methods suggests that ASD is associated with an atypically connected brain. We now need to further clarify such atypicalities, and start interpreting them in the context of what we already know about typical neurodevelopmental processes including migration and organization of the cortex. Such an approach will allow us to relate imaging findings not only to behavior, but also to genes and their expression, which may be related to such processes, and to further our understanding of the nature of neurobiologic abnormalities in ASD.
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“ASD has been associated with neurobiological differences in brain networks responsible for these functions (for example, the prefrontal cortex, the insular cortex, and the anterior cingulate cortices) [6]”
From Functional autonomic nervous system profile in children with autism spectrum disorder (2014) · cites this paper as [6]
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Metadata
- Authors
- Anagnostou, E., & Taylor, M. J.
- Affiliations
- University of Toronto (CA)
- Corresponding author
- Anagnostou, Evdokia
- Venue
- Molecular Autism
- Published
- 2011
- Volume
- 2
- Issue
- 1
- Pages
- 4
- ISSN
- 2040-2392 (ISSN-L)
- PMC
- PMC3102613
- OpenAlex
- W2101436791
- Cited by
- 321
- References
- 111
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 10 · 2023: 20 · 2022: 19 · 2021: 18 · 2020: 30 · 2019: 15 · 2018: 23 · 2017: 24 · 2016: 27 · 2015: 32 · 2014: 20 · 2013: 30 · 2012: 27
- FWCI
- 13.65
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Molecular Autism (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- TSpace (University of Toronto) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Defense
- Canadian Institutes of Health Research (81161_1)
- 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, neuroimaging, brain structure, gray matter volume, white matter volume, brain overgrowth, cortical thickness, functional connectivity, structural connectivity, diffusion tensor imaging, magnetic resonance spectroscopy, brain development, neurobiology of autism
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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