ArticleMolecular autism2013
Comparison of white matter integrity between autism spectrum disorder subjects and typically developing individuals: a meta-analysis of diffusion tensor imaging tractography studies.
Article in Molecular autism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 8 of them syntheses that pooled it.
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Who cites it
104 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Presymptomatic Biological, Structural, and Functional Diagnostic Biomarkers of Autism Spectrum Disorder.Journal of neurochemistry · 2025Pooled it
- Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies.Autism research : official journal of the International Society for Autism Research · 2022Pooled it
- Emerging behavioral and neuroimaging biomarkers for early and accurate characterization of autism spectrum disorders: a systematic review.Translational psychiatry · 2021Pooled it
- White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals.Molecular psychiatry · 2020Pooled it
- Autism spectrum disorders: a meta-analysis of executive function.Molecular psychiatry · 2018Pooled it
- Disrupted focal white matter integrity in autism spectrum disorder: A voxel-based meta-analysis of diffusion tensor imaging studies.Progress in neuro-psychopharmacology & biological psychiatry · 2018Pooled it
- White-matter tract abnormalities and antisocial behavior: A systematic review of diffusion tensor imaging studies across development.NeuroImage. Clinical · 2017Pooled it
- Mitochondrial Aspartate/Glutamate Carrier SLC25A12 and Autism Spectrum Disorder: a Meta-Analysis.Molecular neurobiology · 2016Pooled it
- Specific tractography differences in autism compared to developmental coordination disorder.Scientific reports · 2022Trial
- Environmental Enrichment Therapy for Autism: Outcomes with Increased Access.Neural plasticity · 2016Trial
- Brain morphology network profiles in male and female youth with autism.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Dynamic Functional Synchronization Profiles in Autism Differ by Spatial Scale and Along Hierarchical Cortical Gradients.Biological psychiatry global open science · 2026Article
- Widespread alterations in white matter microstructure in autism: A multilevel meta-analysis.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Comparative study of ERP habituation to tones and fearful vocalizations in autism spectrum disorders: a translational biomarker for sensory hypersensitivity.Molecular psychiatry · 2026Article
- Mapping along-tract commissural and association white matter microstructural differences in autistic children and young adults.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations With Developmental Outcomes.Autism research : official journal of the International Society for Autism Research · 2025Review
- Widespread alterations in white matter microstructure in autism: A multilevel meta-analysis.Research square · 2025Article
- Transcallosal white matter and cortical gray matter variations in autistic adults aged 30-73 years.Molecular autism · 2025Article
- Accelerated Infant Brain Rhythm Maturation in Autism.Developmental science · 2025Article
- Structure of subcortico-cortical tracts in middle-aged and older adults with autism spectrum disorder.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAberrant brain connectivity, especially with long-distance underconnectivity, has been recognized as a candidate pathophysiology of autism spectrum disorders. However, a number of diffusion tensor imaging studies investigating people with autism spectrum disorders have yielded inconsistent results.
methodsTo test the long-distance underconnectivity hypothesis, we performed a systematic review and meta-analysis of diffusion tensor imaging studies in subjects with autism spectrum disorder. Diffusion tensor imaging studies comparing individuals with autism spectrum disorders with typically developing individuals were searched using MEDLINE, Web of Science and EMBASE from 1980 through 1 August 2012. Standardized mean differences were calculated as an effect size of the tracts.
resultsA comprehensive literature search identified 25 relevant diffusion tensor imaging studies comparing autism spectrum disorders and typical development with regions-of-interest methods. Among these, 14 studies examining regions of interest with suprathreshold sample sizes were included in the meta-analysis. A random-effects model demonstrated significant fractional anisotropy reductions in the corpus callosum (P = 0.023, n = 387 (autism spectrum disorders/typically developing individuals: 208/179)), left uncinate fasciculus (P = 0.011, n = 242 (117/125)), and left superior longitudinal fasciculus (P = 0.016, n = 182 (96/86)), and significant increases of mean diffusivity in the corpus callosum (P = 0.006, n = 254 (129/125)) and superior longitudinal fasciculus bilaterally (P = 0.031 and 0.011, left and right, respectively, n = 109 (51/58)), in subjects with autism spectrum disorders compared with typically developing individuals with no significant publication bias.
conclusionThe current meta-analysis of diffusion tensor imaging studies in subjects with autism spectrum disorders emphasizes important roles of the superior longitudinal fasciculus, uncinate fasciculus, and corpus callosum in the pathophysiology of autism spectrum disorders and supports the long-distance underconnectivity hypothesis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.