Related Experiment Video
Updated: Jan 16, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
Published on: September 12, 2011
Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations
Christy D Yoon1, Douglas C Dean1,2,3
1Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Advanced magnetic resonance imaging (MRI) reveals widespread white matter changes in autism. Techniques like constrained spherical deconvolution (CSD) and neurite orientation dispersion and density imaging (NODDI) show consistent differences, impacting development.
Area of Science:
- Neuroimaging
- Developmental Neuroscience
- Autism Spectrum Disorder Research
Background:
- Autism spectrum disorder (ASD) is increasingly linked to alterations in white matter microstructure.
- Magnetic resonance imaging (MRI) advancements allow for detailed examination of these microstructural changes.
Purpose of the Study:
- To review advanced quantitative MRI techniques used in autism research.
- To summarize findings on group differences, developmental associations, and regional variations in white matter microstructure in autism.
Main Methods:
- Systematic review following PRISMA guidelines of 34 studies (2006-2024).
- Included diffusion MRI techniques (DKI, CSD), biophysical models (NODDI, WMTI), relaxometry, and magnetization transfer imaging (MTI).
Main Results:
- Constrained spherical deconvolution (CSD) and neurite orientation dispersion and density imaging (NODDI) were most common.
- Consistent reductions in CSD and NODDI measures were observed in major white matter regions.
- Findings from DKI, WMTI, and relaxometry showed variability.
- MRI measures correlated with cognitive, emotional, and social developmental outcomes.
Conclusions:
- Advanced MRI techniques provide valuable insights into white matter alterations in autism.
- CSD and NODDI show promise for consistent detection of microstructural differences.
- Further standardization of acquisition and processing methods is needed for robust findings.
More Related Videos
11:14A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
Published on: October 4, 2015
05:32Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos
Published on: December 7, 2018