ArticleMolecular autism2020
Evidence against the "normalization" prediction of the early brain overgrowth hypothesis of autism.
Article in Molecular autism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Sex/gender differences in the human autistic brains: A systematic review of 20 years of neuroimaging research.NeuroImage. Clinical · 2021Pooled it
- Amygdala and hippocampal contributions to broad autism phenotype: Project Ice Storm.Translational psychiatry · 2026Article
- Subgrouping autism and ADHD based on structural MRI population modelling centiles.Molecular autism · 2025Article
- It's all in the timing: delayed feedback in autism may weaken predictive mechanisms during contour integration.Journal of neurophysiology · 2024Article
- An Investigation of Age-related Neuropathophysiology in Autism Spectrum Disorder Using Fixel-based Analysis of Corpus Callosum White Matter Micro- and Macrostructure.Journal of autism and developmental disorders · 2024Article
- It's all in the timing: Delayed feedback in autism may weaken predictive mechanisms during contour integration.bioRxiv : the preprint server for biology · 2024Article
- Brain-charting autism and attention deficit hyperactivity disorder reveals distinct and overlapping neurobiology.medRxiv : the preprint server for health sciences · 2023Article
- The Physiology of Cognition in Autism Spectrum Disorder: Current and Future Challenges.Cureus · 2023Review
- Age-Related Changes in Epilepsy Characteristics and Response to Antiepileptic Treatment in Autism Spectrum Disorders.Journal of personalized medicine · 2023Article
- Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder.Scientific reports · 2023Article
- Of differing methods, disputed estimates and discordant interpretations: the meta-analytical multiverse of brain volume and IQ associations.Royal Society open science · 2022Article
- Age differences and brain maturation provide insight into heterogeneous results in autism spectrum disorder.Frontiers in human neuroscience · 2022Review
- Unified framework for early stage status prediction of autism based on infant structural magnetic resonance imaging.Autism research : official journal of the International Society for Autism Research · 2021Article
- Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review.Diagnostics (Basel, Switzerland) · 2021Review
- Article
- Dissociating regional gray matter density and gray matter volume in autism spectrum condition.NeuroImage. Clinical · 2021Article
- Retinal Structures in Autism Spectrum Disorder: Results from a Case-Control Study.Ophthalmology scienceArticle
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe frequently cited Early Overgrowth Hypothesis of autism spectrum disorder (ASD) postulates that there is overgrowth of the brain in the first 2 years of life, which is followed by a period of arrested growth leading to normalized brain volume in late childhood and beyond. While there is consistent evidence for early brain overgrowth, there is mixed evidence for normalization of brain volume by middle childhood. The outcome of this debate is important to understanding the etiology and neurodevelopmental trajectories of ASD.
methodsBrain volume was examined in two very large single-site samples of children, adolescents, and adults. The primary sample comprised 456 6-25-year-olds (ASD n = 240, typically developing controls (TDC) n = 216), including a large number of females (n = 102) and spanning a wide IQ range (47-158). The replication sample included 175 males. High-resolution T1-weighted anatomical MRI images were examined for group differences in total brain, cerebellar, ventricular, gray, and white matter volumes.
resultsThe ASD group had significantly larger total brain, cerebellar, gray matter, white matter, and lateral ventricular volumes in both samples, indicating that brain volume remains enlarged through young adulthood, rather than normalizing. There were no significant age or sex interactions with diagnosis in these measures. However, a significant diagnosis-by-IQ interaction was detected in the larger sample, such that increased brain volume was related to higher IQ in the TDCs, but not in the ASD group. Regions-of-significance analysis indicated that total brain volume was larger in ASD than TDC for individuals with IQ less than 115, providing a potential explanation for prior inconsistent brain size results. No relationships were found between brain volume and measures of autism symptom severity within the ASD group. LIMITATIONS: Our cross-sectional sample may not reflect individual changes over time in brain volume and cannot quantify potential changes in volume prior to age 6.
conclusionsThese findings challenge the "normalization" prediction of the brain overgrowth hypothesis by demonstrating that brain enlargement persists across childhood into early adulthood. The findings raise questions about the clinical implications of brain enlargement, since we find that it neither confers cognitive benefits nor predicts increased symptom severity in ASD.
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