ArticleBrain sciences2022
Global and Regional Structural Differences and Prediction of Autistic Traits during Adolescence.
Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Linking Brain Morphometry to Psychometric Measures and Energy-Metabolic Biomarkers in Adults With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026Article
- Amygdala and hippocampal contributions to broad autism phenotype: Project Ice Storm.Translational psychiatry · 2026Article
- Superior temporal sulcus folding, functional network connectivity, and autistic-like traits in a non-clinical population.Molecular autism · 2024Article
- Brain functional gradient and structure features in adolescent and adult autism spectrum disorders.Human brain mapping · 2024Article
- Whole-brain gray matter maturation trajectories associated with autistic traits from adolescence to early adulthood.Brain structure & function · 2024Article
- Insights into the structure and function of the hippocampus: implications for the pathophysiology and treatment of autism spectrum disorder.Frontiers in psychiatry · 2024Review
- Exploiting moderate hypoxia to benefit patients with brain disease: Molecular mechanisms and translational research in progress.Neuroprotection (Chichester, England) · 2023Article
Corrections and comments
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Authors and funding
29 authors at 15 institutions in 7 countries.
Funding
Abstract
backgroundAutistic traits are commonly viewed as dimensional in nature, and as continuously distributed in the general population. In this respect, the identification of predictive values of markers such as subtle autism-related alterations in brain morphology for parameter values of autistic traits could increase our understanding of this dimensional occasion. However, currently, very little is known about how these traits correspond to alterations in brain morphology in typically developing individuals, particularly during a time period where changes due to brain development processes do not provide a bias. Therefore, in the present study, we analyzed brain volume, cortical thickness (CT) and surface area (SA) in a cohort of 14-15-year-old adolescents (N = 285, female: N = 162) and tested their predictive value for autistic traits, assessed with the social responsiveness scale (SRS) two years later at the age of 16-17 years, using a regression-based approach. We found that autistic traits were significantly predicted by volumetric changes in the amygdala (
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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.