Mapping corpus callosum deficits in autism: An index of aberrant cortical connectivity
Abstract
Background Volumetric studies have reported reductions in the size of the corpus callosum (CC) in autism, but the callosal regions contributing to this deficit have differed among studies. In this study, a computational method was used to detect and map the spatial pattern of CC abnormalities in male patients with autism.Methods Twenty-four boys with autism (aged 10.0 +/- 3.3 years) and 26 control boys (aged 11.0 +/- 2.5 years) underwent a magnetic resonance imaging (MRI) scan at 3 Tesla. Total and regional areas of the CC were determined using traditional morphometric methods. Three-dimensional (3D) surface models of the CC were also created from the MRI scans. Statistical maps were created to visualize morphologic variability of the CC and to localize regions of callosal thinning in autism.Results Traditional morphometric methods detected a significant reduction in the total callosal area and in the anterior third of the CC in patients with autism; however, 3D maps revealed significant reductions in both the splenium and genu of the CC in patients.Conclusions Statistical maps of the CC revealed callosal deficits in autism with greater precision than traditional morphometric methods. These abnormalities suggest aberrant connections between cortical regions, which is consistent with the hypothesis of abnormal cortical connectivity in autism.
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A recent study using a 3T magnet found a large effect size (d=.73).
“Interestingly, the effect size was found to be large in a recent study using a 3T magnet (d=.73) (23), suggesting that future studies applying newer imaging methodologies (e.g., diffusion tensor imaging or related novel white matter tractography methods) and higher magnet strength are likely to yield larger differentiation of individuals with autism and healthy controls.”
From A Meta-Analysis of the Corpus Callosum in Autism (2009) · cites this paper as [23]
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- Authors
- Vidal, C. N., Nicolson, R., DeVito, T. J., Hayashi, K. M., Geaga, J. A., Drost, D. J., Williamson, P. C., Rajakumar, N., Sui, Y., Dutton, R. A., Toga, A. W., & Thompson, P. M.
- Affiliations
- University of California, Los Angeles (US)
- Western University (CA)
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2006-08
- Volume
- 60
- Issue
- 3
- Pages
- 218-225
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2092120221
- Cited by
- 244
- References
- 44
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 3 · 2022: 7 · 2021: 7 · 2020: 10 · 2019: 3 · 2018: 14 · 2017: 9 · 2016: 13 · 2015: 14 · 2014: 14 · 2013: 21 · 2012: 20
- FWCI
- 10.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P50AG016570, P50-AG 16570)
- National Institute of Mental Health (P20 MH 65166, P20MH065166)
- National Institute on Drug Abuse (P20 MH/ DA52176)
- National Institute of Biomedical Imaging and Bioengineering (R21 EB 01651)
- National Center for Research Resources (P41RR013642, R21RR19771, R21RR019771, P41 RR13642)
- 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, corpus callosum, splenium, genu, cortical connectivity, 3D surface modeling, statistical mapping
- MeSH terms
- Adolescent, Analysis of Variance, Autistic Disorder, Brain Mapping, Child, Corpus Callosum, Humans, Magnetic Resonance Imaging, Male, Reference Values, Imaging, Three-Dimensional
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