# Unraveling the Autism Spectrum Heterogeneity: Insights From ABIDE I Database Using Data/Model‐Driven Permutation Testing Approaches

## TL;DR

This study examines brain differences in autism using the ABIDE I database but finds no significant structural differences due to variability across centers and small sample sizes.

## Contribution

The study introduces data/model-driven permutation testing to assess multi-center variability in autism neuroimaging.

## Key findings

- No statistically significant brain region differences were found between autism and control groups.
- Multi-center variability and limited sample sizes hinder reliable detection of structural differences.
- SAM mapping showed greater consistency with existing literature compared to SPM.

## Abstract

Autism 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.

This 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).

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.

The 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.

Highlights of the Manuscript:
Investigates the influence of cofactors in differentiating Autism Spectrum Disorder (ASD) from neurotypical individuals using the ABIDE database.Utilizes statistical analysis and permutation testing approaches to evaluate disparities between ASD and control groups.Reveals the absence of statistically significant differences in gray matter tissues across brain regions.

Investigates the influence of cofactors in differentiating Autism Spectrum Disorder (ASD) from neurotypical individuals using the ABIDE database.

Utilizes statistical analysis and permutation testing approaches to evaluate disparities between ASD and control groups.

Reveals the absence of statistically significant differences in gray matter tissues across brain regions.