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Unraveling the Autism Spectrum Heterogeneity: Insights From ABIDE I Database Using Data/Model-Driven Permutation
Francisco José Alcaide1, Ignacio Alvarez Illan1, Javier Ramírez1
1DaSCI Institute, University of Granada, Granada, Spain.
Brain and Behavior
|January 31, 2026
Summary
Multi-center autism neuroimaging studies face challenges. The Autism Brain Imaging Data Exchange I database showed no significant structural brain differences in autism spectrum condition (ASC) due to variability and small sample sizes.
Area of Science:
- Neuroimaging
- Autism Spectrum Condition Research
- Neurodevelopmental Disorders
Background:
- Autism spectrum condition (ASC) is a neurodevelopmental disorder impacting communication and social interaction.
- Neuroimaging studies frequently seek structural brain differences between individuals with ASC and neurotypical controls.
- Variations in imaging protocols across research centers are often overlooked.
Purpose of the Study:
- To investigate structural brain differences between individuals with ASC and controls using the Autism Brain Imaging Data Exchange I (ABIDE I) database.
- To assess the impact of multi-center data acquisition on identifying neuroanatomical distinctions in ASC.
- To evaluate the effectiveness of statistical agnostic mapping (SAM) and statistical parametric mapping (SPM) in multi-center autism neuroimaging.
Main Methods:
- Analysis of structural magnetic resonance imaging (sMRI) data from the ABIDE I database.
- Comparison of brain structures between ASC and control groups, accounting for individual research centers.
- Application of permutation tests with SAM and SPM for statistical mapping.
Main Results:
- The SAM method showed some consistency with prior literature.
- No statistically significant structural brain differences were detected between ASC and control groups.
- Inconsistencies were attributed to limited sample sizes per center, noise, and data heterogeneity.
Conclusions:
- The ABIDE I database has limitations for detecting subtle structural brain differences in ASC.
- Multi-center variability and insufficient sample sizes significantly impact the reliability of autism neuroimaging findings.
- Future research requires standardized protocols and larger, homogenous datasets for robust conclusions.
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