Resting-state functional connectivity in autism spectrum disorders: a review
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Ongoing debate exists within the resting-state functional MRI (fMRI) literature over how intrinsic connectivity is altered in the autistic brain, with reports of general over-connectivity, under-connectivity, and/or a combination of both. Classifying autism using brain connectivity is complicated by the heterogeneous nature of the condition, allowing for the possibility of widely variable connectivity patterns among individuals with the disorder. Further differences in reported results may be attributable to the age and sex of participants included, designs of the resting-state scan, and to the analysis technique used to evaluate the data. This review systematically examines the resting-state fMRI autism literature to date and compares studies in an attempt to draw overall conclusions that are presently challenging. We also propose future direction for rs-fMRI use to categorize individuals with autism spectrum disorder, serve as a possible diagnostic tool, and best utilize data-sharing initiatives.
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Broadly, these findings are consistent with reports in neuropsychiatric disorders of brain network dysconnectivity and failures of neural integration.
“Broadly, these findings are consistent with reports in neuropsychiatric disorders of brain network dysconnectivity and failures of neural integration [57–59]”
Case-control studies comparing functional connectivity in ASD and ADHD to TD children have produced largely inconsistent results.
“Case-control studies comparing functional connectivity in ASD and ADHD to TD children have produced largely inconsistent results (Mash et al., 2018; Hull et al., 2016)”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Hull et al., 2016
Similar trends are evident for understanding the impact of medication status on case-control neuroimaging studies.
“Similar trends are evident for understanding the impact of medication status on case-control neuroimaging studies (Hull et al., 2016; Rubia, 2018; Rubia et al., 2014).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Hull et al., 2016
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Flagged first, then by citations
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“Similar trends are evident for understanding the impact of medication status on casecontrol neuroimaging studies (Hull et al., 2016; Rubia, 2018; Rubia et al., 2014).”
Small fiber pathology in autism and clinical implications
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“…these fi ndings are consistent with reports in neuropsychiatric disorders of brain network dysconnectivity and failures of neural integration [57 – 59] insofar as many studies have indicated cortico-striatal network dysregulation is linked to psychotic symptoms [60], symptom severity [61], and…”
Result
- Authors
- Hull, J. V., Dokovna, L. B., Jacokes, Z. J., Torgerson, C. M., Irimia, A., & Van Horn, J. D.
- Affiliations
- University of Southern California (US)
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2017-01-04
- Volume
- 7
- Pages
- 205-205
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC5209637
- OpenAlex
- W2568162413
- Cited by
- 546
- References
- 124
- Citations by year
- 2026: 66 · 2025: 61 · 2024: 64 · 2023: 56 · 2022: 61 · 2021: 75 · 2020: 57 · 2019: 46 · 2018: 45 · 2017: 15
- FWCI
- 4.99
- Type
- journal article
- Language
- en
- Update notices
- corrigendum (2018-06-22)
- Open access
- gold
- doi.org
- Locations
- Frontiers in Psychiatry (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institutes of Health (1R01 MH100028)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, resting-state functional connectivity, intrinsic brain connectivity, autism heterogeneity, autism classification, autism diagnosis, sex differences, age differences
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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