SynthesisNeuroImage. Clinical2015
Anatomical likelihood estimation meta-analysis of grey and white matter anomalies in autism spectrum disorders.
Synthesis in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 11 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 11 syntheses or guidelines pooled it, 97 citations in OpenAlex.
- Balance Control in Children and Youth with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis.Alpha psychiatry · 2025Pooled it
- Systematic review and meta-analysis: multimodal functional and anatomical neural alterations in autism spectrum disorder.Molecular autism · 2024Pooled it
- Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort.Molecular autism · 2024Pooled it
- A meta-analytic investigation of grey matter differences in anorexia nervosa and autism spectrum disorder.European eating disorders review : the journal of the Eating Disorders Association · 2022Pooled it
- Pooled it
- An ALE Meta-Analysis of Specific Functional MRI Studies on Subcortical Vascular Cognitive Impairment.Frontiers in neurology · 2021Pooled it
- Comparative meta-analyses of brain structural and functional abnormalities during cognitive control in attention-deficit/hyperactivity disorder and autism spectrum disorder.Psychological medicine · 2020Pooled 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
- Gray matter abnormalities in pediatric autism spectrum disorder: a meta-analysis with signed differential mapping.European child & adolescent psychiatry · 2017Pooled it
- Grey matter alterations in migraine: A systematic review and meta-analysis.NeuroImage. Clinical · 2017Pooled it
- Neuroanatomical and neurofunctional markers of social cognition in autism spectrum disorder.Human brain mapping · 2016Pooled it
- BrainUMA: A Unified multi-atlas learning framework for brain disorders diagnosis.Medical & biological engineering & computing · 2026Article
- The RhoG-Binding Domain of ELMO1 Rescues the PTENopathy-like Phenotype in Oligodendroglial FBD-102b Cells.International journal of molecular sciences · 2026Article
- Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
- Association of polygenic scores for autism with volumetric MRI phenotypes in cerebellum and brainstem in adults.Molecular autism · 2024Article
- Aerobic exercise improves cognitive flexibility and modulates regional volume changes in a rat model of autism.Behavioural brain research · 2024Article
- Modelling the overlap and divergence of autistic and schizotypal traits on hippocampal subfield volumes and regional cerebral blood flow.Molecular psychiatry · 2024Article
- Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- White and gray matter correlates of theory of mind in autism: a voxel-based morphometry study.Brain structure & function · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Autism spectrum disorders (ASD) are characterized by impairments in social communication and restrictive, repetitive behaviors. While behavioral symptoms are well-documented, investigations into the neurobiological underpinnings of ASD have not resulted in firm biomarkers. Variability in findings across structural neuroimaging studies has contributed to difficulty in reliably characterizing the brain morphology of individuals with ASD. These inconsistencies may also arise from the heterogeneity of ASD, and wider age-range of participants included in MRI studies and in previous meta-analyses. To address this, the current study used coordinate-based anatomical likelihood estimation (ALE) analysis of 21 voxel-based morphometry (VBM) studies examining high-functioning individuals with ASD, resulting in a meta-analysis of 1055 participants (506 ASD, and 549 typically developing individuals). Results consisted of grey, white, and global differences in cortical matter between the groups. Modeled anatomical maps consisting of concentration, thickness, and volume metrics of grey and white matter revealed clusters suggesting age-related decreases in grey and white matter in parietal and inferior temporal regions of the brain in ASD, and age-related increases in grey matter in frontal and anterior-temporal regions. White matter alterations included fiber tracts thought to play key roles in information processing and sensory integration. Many current theories of pathobiology ASD suggest that the brains of individuals with ASD may have less-functional long-range (anterior-to-posterior) connections. Our findings of decreased cortical matter in parietal-temporal and occipital regions, and thickening in frontal cortices in older adults with ASD may entail altered cortical anatomy, and neurodevelopmental adaptations.
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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.