Structural MRI in Autism Spectrum Disorder
Open accessAbstract
Magnetic resonance (MR) examination provides a powerful tool for investigating brain structural changes in children with autism spectrum disorder (ASD). We review recent advances in the understanding of structural MR correlates of ASD. We summarize findings from studies based on voxel-based morphometry, surface-based morphometry, tensor-based morphometry, and diffusion-tensor imaging. Finally, we discuss diagnostic models of ASD based on MR-derived features.
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Structural MRI studies in ASD have reported a wide range of putative biomarkers across independent studies.
“Reviews of structural MRI findings in ASD have found a wide range of putative biomarkers across independent studies 40–42.”
From Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm (2018) · cites this paper as [40]
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The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Schumann, C. M., Bloss, C. S., Barnes, C. C., Wideman, G. M., Carper, R. A., Akshoomoff, N., Pierce, K., Hagler, D., Schork, N., Lord, C., et al. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5714-09.2010 · Cited by 554 · see citing works
Rapin, I. (1997) · New England Journal of Medicine · doi:10.1056/nejm199707103370206 · Cited by 319 · see citing works
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Identification, Evaluation, and Management of Children With Autism Spectrum Disorder
Hyman, S. L., Levy, S. E., Myers, S. M., COUNCIL ON CHILDREN WITH DISABILITIES, S. O. D. A. B. P., Kuo, D. Z., Apkon, S., Davidson, L. F., Ellerbeck, K. A., Foster, J. E. A., Noritz, G. H., et al. (2020) · Pediatrics · doi:10.1542/peds.2019-3447 · Cited by 1,548 · see citing works
The neuroscience of socioeconomic status: Correlates, causes, and consequences
Farah, M. J. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.034 · Cited by 653 · see citing works
Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm
Feczko, E., Balba, N. M., Miranda-Dominguez, O., Cordova, M., Karalunas, S. L., Irwin, L., Demeter, D. V., Hill, A. P., Langhorst, B. H., Grieser Painter, J., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.044 · Cited by 173 · see citing works
Veenstra-VanderWeele, J., & Blakely, R. D. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.185 · Cited by 128 · see citing works
Libero, L. E., DeRamus, T. P., Deshpande, H. D., & Kana, R. K. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.001 · Cited by 95 · see citing works
Cortical thickness change in autism during early childhood: CT in Early Childhood ASD
Smith, E., Thurm, A., Greenstein, D., Farmer, C., Swedo, S., Giedd, J., & Raznahan, A. (2016) · Human Brain Mapping · doi:10.1002/hbm.23195 · Cited by 53 · see citing works
Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry
Katuwal, G. J., Baum, S. A., Cahill, N. D., & Michael, A. M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0153331 · Cited by 49 · see citing works
Analysis of cortical shape in children with simplex autism
Dierker, D. L., Feczko, E., Pruett, J. R., Petersen, S. E., Schlaggar, B. L., Constantino, J. N., Harwell, J. W., Coalson, T. S., & Van Essen, D. C. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht294 · Cited by 50 · see citing works
- Authors
- CHEN, R., JIAO, Y., & HERSKOVITS, E. H.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- CHEN, RONG
- Venue
- Pediatric Research
- Published
- 2011-05
- Volume
- 69
- Issue
- 5 Part 2
- Pages
- 63R-68R
- ISSN
- 0031-3998 (ISSN-L)
- PMC
- PMC3081653
- OpenAlex
- W2014806273
- Cited by
- 154
- References
- 3
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 13 · 2023: 9 · 2022: 16 · 2021: 11 · 2020: 12 · 2019: 9 · 2018: 7 · 2017: 10 · 2016: 13 · 2015: 9 · 2014: 12 · 2013: 9 · 2012: 9
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Pediatric Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- University of Pennsylvania
- National Natural Science Foundation of China (30570655)
- China Scholarship Council (2008101370)
- Southeast University
- National Institutes of Health (NIH R03)
- National Institute on Aging (R01AG013743, R01 AG 13743)
- National Institute of Mental Health
- National Cancer Institute
- National Institute of Biomedical Imaging and Bioengineering (R03EB009310)
- 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 › Pediatrics, Perinatology and Child Health › Fetal and Pediatric Neurological Disorders
- Keywords
- autism spectrum disorder, brain structural changes, structural MRI, voxel-based morphometry, surface-based morphometry, tensor-based morphometry, diffusion tensor imaging, neuroimaging biomarkers
- MeSH terms
- Adolescent, Adult, Child, Child Development Disorders, Pervasive, Female, Humans, Magnetic Resonance Imaging, Male
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