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Updated: Apr 28, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Highly replicable multisite patterns of adolescent white matter maturation.

Steven L Meisler^1,2,3, Matthew Cieslak^1,2,3, Joëlle Bagautdinova^1,2,3

¹The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.

Biorxiv : the Preprint Server for Biology

|April 27, 2026

Summary

The ABCD Study releases over 24,000 processed diffusion MRI datasets for adolescent brain research. Key microstructural measures show sensitivity to neurodevelopment and are robust to image quality variations.

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Area of Science:

Neuroimaging
Developmental Neuroscience
Biomedical Informatics

Background:

The Adolescent Brain Cognitive Development (ABCD) Study is a major neuroimaging initiative tracking adolescent brain maturation.
Diffusion MRI (dMRI) offers insights into white matter, but large-scale processing and technical variability pose challenges.

Purpose of the Study:

To present the ABCD-BIDS Community Collection (ABCC) release 3.1.0, a large-scale, processed dMRI dataset.
To provide researchers with advanced microstructural measures and image quality metrics for studying adolescent brain development.

Main Methods:

Processed over 24,000 ABCD dMRI datasets using advanced pipelines.
Included nuanced image quality metrics and person-specific bundle tractography.
Harmonized microstructural features to enhance cross-vendor generalizability.

Main Results:

Measures of diffusion restriction and non-Gaussianity (e.g., NODDI's intracellular volume fraction, MAP-MRI's return-to-origin probability) are sensitive to neurodevelopment.
These microstructural measures demonstrated robustness against variations in image quality.
Harmonization improved the generalizability of observed developmental effects across different MRI vendors.

Conclusions:

The ABCC dataset accelerates reproducible and rigorous research on adolescent white matter development.
Advanced dMRI analysis provides sensitive and robust markers for neurodevelopmental studies.
Data harmonization is crucial for large-scale, multi-site neuroimaging research.