ArticleBrain and behavior2026
Unraveling the Autism Spectrum Heterogeneity: Insights From ABIDE I Database Using Data/Model-Driven Permutation Testing Approaches.
Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
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4 authors.
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Abstract
purposeAutism spectrum condition (ASC) is a neurodevelopmental condition characterized by impairments in communication, social interaction, and restricted or repetitive behaviors. Extensive research has aimed to identify structural brain distinctions between individuals with ASC and neurotypical individuals using neuroimaging techniques. However, limited attention has been given to evaluating how variations in image acquisition protocols across different centers influence these observed differences.
methodThis analysis focuses on structural magnetic resonance imaging (sMRI) data from the Autism Brain Imaging Data Exchange I (ABIDE I) database, considering both subjects' condition and individual centers to identify disparities between ASC and control groups. Statistical analysis, employing permutation tests, utilizes two distinct statistical mapping methods: statistical agnostic mapping (SAM) and statistical parametric mapping (SPM). FINDING: Results from the SAM mapping method show greater consistency with existing literature. However, no statistically significant differences were found in any brain region. This outcome is attributed to factors such as limited sample sizes within certain centers, noise effects, and the challenges posed by multi-center databases in a heterogeneous condition such as autism.
conclusionThe study indicates limitations in using the ABIDE I database to detect structural differences in the brain between neurotypical individuals and those diagnosed with ASC. Multi-center variability and sample size constraints significantly affect the reliability of findings in structural neuroimaging studies of autism.
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