ArticleTranslational psychiatry2018
Developmental changes of cortical white-gray contrast as predictors of autism diagnosis and severity.
Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Reduced Gray-White Matter Contrast in Chronic Posttraumatic Stress Disorder in World Trade Center Responders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Exploring the Autistic Brain: A Systematic Review of Diffusion Tensor Imaging Studies on Neural Connectivity in Autism Spectrum Disorder.Brain sciences · 2025Review
- Predictors of Outcome in Autism Spectrum Disorders: A Perspective for Clinicians and Therapists.Indian journal of psychological medicine · 2025Article
- Molecular architecture of the altered cortical complexity in autism.Molecular autism · 2025Article
- Prenatal Tobacco Exposure, Brain Subcortical Volumes, and Gray-White Matter Contrast.JAMA network open · 2024Article
- Atypical co-development of the thalamus and cortex in autism: Evidence from age-related white-gray contrast change.Human brain mapping · 2024Article
- A critical role of brain network architecture in a continuum model of autism spectrum disorders spanning from healthy individuals with genetic liability to individuals with ASD.Molecular psychiatry · 2023Article
- Cortical thickness systematically varies with curvature and depth in healthy human brains.Human brain mapping · 2022Article
- Article
- Examining the Boundary Sharpness Coefficient as an Index of Cortical Microstructure in Autism Spectrum Disorder.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Grey-Matter Thickness of the Left But Not the Right Primary Visual Area Correlates with Autism Traits in Typically Developing Adults.Journal of autism and developmental disorders · 2021Article
- Atypical measures of diffusion at the gray-white matter boundary in autism spectrum disorder in adulthood.Human brain mapping · 2021Article
- Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses.GigaScience · 2021Article
- Atypical age-related changes in cortical thickness in autism spectrum disorder.Scientific reports · 2020Article
- Large-scale analyses of the relationship between sex, age and intelligence quotient heterogeneity and cortical morphometry in autism spectrum disorder.Molecular psychiatry · 2020Article
- Structural Associations of Cortical Contrast and Thickness in First Episode Psychosis.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Gender Related Changes in Gene Expression Induced by Valproic Acid in A Mouse Model of Autism and the Correction by S-adenosyl Methionine. Does It Explain the Gender Differences in Autistic Like Behavior?International journal of molecular sciences · 2019Article
- Quantifying individual differences in brain morphometry underlying symptom severity in Autism Spectrum Disorders.Scientific reports · 2019Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Recent studies suggest that both cortical gray and white-matter microstructural characteristics are distinct for subjects with autism. There is a lack of evidence regarding how these characteristics change in a developmental context. We analysed a longitudinal/cross-sectional dataset of 402 magnetic resonance imaging (MRI) scans (171 subjects with autism and 231 with typical development) from the Autism Brain Imaging Data Exchange, cohorts I-II (ABIDE-I-II). In the longitudinal sample, we computed the rate of change in the white-gray contrast, a measure which has been related to age and cognitive performance, at the boundary of the cerebral cortex. Then, we devised an analogous metric for the cross-sectional sample of the ABIDE dataset to measure age-related differences in cortical contrast. Further, we developed a probabilistic model to predict the diagnostic group in the longitudinal sample of the cortical contrast change data, using results obtained from the cross-sectional sample. In both subsets, we observed a similar overall pattern of greater decrease within the autistic population in intensity contrast for most cortical regions (81%), with occasional increases, mostly in primary sensory regions. This pattern correlated well with raw and calibrated behavioural scores. The prediction results show 76% accuracy for the whole-cortex diagnostic prediction and 86% accuracy in prediction using the motor system alone. Our results support a contrast change analysis strategy that appears sensitive in predicting diagnostic outcome and symptom severity in autism spectrum disorder, and is readily extensible to other MRI-based studies of neurodevelopmental cohorts.
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