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Related Experiment Video

Updated: Jun 4, 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

Structural MRI in autism spectrum disorder.

Rong Chen¹, Yun Jiao, Edward H Herskovits

¹Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. rong.chen@uphs.upenn.edu

Pediatric Research

|February 4, 2011

Summary

This summary is machine-generated.

Magnetic resonance (MR) imaging reveals brain structural differences in children with autism spectrum disorder (ASD). This review covers advanced MR techniques and their role in understanding ASD neurobiology and diagnostic models.

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Area of Science:

Neuroimaging
Developmental Neuroscience
Pediatric Neurology

Background:

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition.
Understanding the neurobiological underpinnings of ASD is crucial for early diagnosis and intervention.
Structural magnetic resonance (MR) imaging offers insights into brain morphology and organization.

Purpose of the Study:

To review recent advancements in structural MR imaging techniques for studying ASD.
To summarize key findings on structural brain abnormalities in children with ASD.
To discuss the potential of MR-derived features in developing diagnostic models for ASD.

Main Methods:

Review of recent studies utilizing advanced structural MR imaging.
Analysis of findings from voxel-based morphometry (VBM).
Summarization of surface-based morphometry (SBM), tensor-based morphometry (TBM), and diffusion-tensor imaging (DTI) results.

Main Results:

Structural MR imaging has identified various brain alterations in individuals with ASD.
Specific morphometric and diffusion metrics show promise in characterizing ASD-related neuroanatomy.
Consistent patterns of structural differences are emerging across different MR methodologies.

Conclusions:

Structural MR imaging is a valuable tool for investigating the neurobiology of ASD in children.
Advanced MR techniques provide detailed information on brain structure relevant to ASD.
MR-derived features hold potential for improving diagnostic accuracy and understanding of ASD.