In Vivo Evidence of Reduced Integrity of the Gray-White Matter Boundary in Autism Spectrum Disorder
- PMID: 28057721
- PMCID: PMC6093436
- DOI: 10.1093/cercor/bhw404
In Vivo Evidence of Reduced Integrity of the Gray-White Matter Boundary in Autism Spectrum Disorder
Abstract
Atypical cortical organization and reduced integrity of the gray-white matter boundary have been reported by postmortem studies in individuals with autism spectrum disorder (ASD). However, there are no in vivo studies that examine these particular features of cortical organization in ASD. Hence, we used structural magnetic resonance imaging to examine differences in tissue contrast between gray and white matter in 98 adults with ASD and 98 typically developing controls, to test the hypothesis that individuals with ASD have significantly reduced tissue contrast. More specifically, we examined contrast as a percentage between gray and white matter tissue signal intensities (GWPC) sampled at the gray-white matter boundary, and across different cortical layers. We found that individuals with ASD had significantly reduced GWPC in several clusters throughout the cortex (cluster, P < 0.05). As expected, these reductions were greatest when tissue intensities were sampled close to gray-white matter interface, which indicates a less distinct gray-white matter boundary in ASD. Our in vivo findings of reduced GWPC in ASD are therefore consistent with prior postmortem findings of a less well-defined gray-white matter boundary in ASD. Taken together, these results indicate that GWPC might be utilized as an in vivo proxy measure of atypical cortical microstructural organization in future studies.
Keywords: ASD; FreeSurfer; MRI; imaging; lamination.
© The Author 2017. Published by Oxford University Press.
Figures



Similar articles
-
Examining the Boundary Sharpness Coefficient as an Index of Cortical Microstructure in Autism Spectrum Disorder.Cereb Cortex. 2021 Jun 10;31(7):3338-3352. doi: 10.1093/cercor/bhab015. Cereb Cortex. 2021. PMID: 33693614 Free PMC article.
-
The effect of age on vertex-based measures of the grey-white matter tissue contrast in autism spectrum disorder.Mol Autism. 2018 Oct 1;9:49. doi: 10.1186/s13229-018-0232-6. eCollection 2018. Mol Autism. 2018. PMID: 30302187 Free PMC article.
-
Atypical measures of diffusion at the gray-white matter boundary in autism spectrum disorder in adulthood.Hum Brain Mapp. 2021 Feb 1;42(2):467-484. doi: 10.1002/hbm.25237. Epub 2020 Oct 23. Hum Brain Mapp. 2021. PMID: 33094897 Free PMC article.
-
The atypical social brain network in autism: advances in structural and functional MRI studies.Curr Opin Neurol. 2019 Aug;32(4):617-621. doi: 10.1097/WCO.0000000000000713. Curr Opin Neurol. 2019. PMID: 31135458 Review.
-
Neurodevelopmental sequelae associated with gray and white matter changes and their cellular basis: A comparison between Autism Spectrum Disorder, ADHD and dyslexia.Int J Dev Neurosci. 2015 Nov;46:132-43. doi: 10.1016/j.ijdevneu.2015.02.007. Epub 2015 Aug 11. Int J Dev Neurosci. 2015. PMID: 26456538 Review.
Cited by
-
Cortical gray-white matter contrast abnormalities in male children with attention deficit hyperactivity disorder.Front Hum Neurosci. 2023 Dec 21;17:1303230. doi: 10.3389/fnhum.2023.1303230. eCollection 2023. Front Hum Neurosci. 2023. PMID: 38188507 Free PMC article.
-
Cortical myelination in toddlers and preschoolers with autism spectrum disorder.Dev Neurobiol. 2022 Apr;82(3):261-274. doi: 10.1002/dneu.22874. Epub 2022 Apr 7. Dev Neurobiol. 2022. PMID: 35348301 Free PMC article.
-
Sex differences in trajectories of cortical development in autistic children from 2-13 years of age.Mol Psychiatry. 2024 Nov;29(11):3440-3451. doi: 10.1038/s41380-024-02592-8. Epub 2024 May 16. Mol Psychiatry. 2024. PMID: 38755243 Free PMC article.
-
Automation and standardization of subject-specific region-of-interest segmentation for investigation of diffusion imaging in clinical populations.PLoS One. 2022 Dec 8;17(12):e0268233. doi: 10.1371/journal.pone.0268233. eCollection 2022. PLoS One. 2022. PMID: 36480567 Free PMC article.
-
Learning to detect boundary information for brain image segmentation.BMC Bioinformatics. 2022 Aug 11;23(1):332. doi: 10.1186/s12859-022-04882-w. BMC Bioinformatics. 2022. PMID: 35953776 Free PMC article.
References
-
- Amaral DG, Schumann CM, Nordahl CW. 2008. Neuroanatomy of autism. Trends Neurosci. 31:137–145. - PubMed
-
- Andres M, Andre V, Nguyen S, Salamon N, Cepeda C, Levine MS, Leite JP, Neder L, Vinters HV, Mathern GW. 2005. Human cortical dysplasia and epilepsy: an ontogenetic hypothesis based on volumetric MRI and NeuN neuronal density and size measurements. Cereb cortex. 15:194–210. - PubMed
-
- Avino TA, Hutsler JJ. 2010. Abnormal cell patterning at the cortical gray–white matter boundary in autism spectrum disorders. Brain Res. 1360:138–146. - PubMed
-
- Balardin JB, Comfort WE, Daly E, Murphy C, Andrews D, Murphy DG, Ecker C, MRC AIMS Consortium, Sata J. 2015. Decreased centrality of cortical volume covariance networks in autism spectrum disorders. J Psychiatr Res. 69:142–149. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials