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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

Updated: May 29, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Probing the brain in autism using FMRI and diffusion tensor imaging.

Rajesh K Kana1, Donna L Murdaugh, Lauren E Libero

  • 1Department of Psychology, University of Alabama at Birmingham, USA. rkana@uab.edu

Journal of Visualized Experiments : Jove
|September 21, 2011
PubMed
Summary

Autism may involve underconnectivity between brain regions, impacting social and language skills. New neuroimaging techniques like functional connectivity and Diffusion Tensor Imaging (DTI) offer insights into brain communication in autism.

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Last Updated: May 29, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Cognitive Neuroscience

Background:

  • Autism Spectrum Disorder (ASD) is characterized by complex behavioral symptoms.
  • Emerging theories propose brain dysfunction rather than a cohesive unit in autism.
  • Structural neuroimaging findings in autism lack consistency, necessitating other approaches.

Purpose of the Study:

  • To explore the neurobiological underpinnings of autism through the lens of brain connectivity.
  • To investigate the role of functional and structural connectivity in autism symptomatology.
  • To highlight advanced neuroimaging techniques for studying brain function in autism.

Main Methods:

  • Functional neuroimaging (fMRI) to assess functional connectivity (temporal correlation of neural events).
  • Diffusion Tensor Imaging (DTI) to examine white matter integrity and anatomical connections.
  • Review of recent findings supporting the cortical underconnectivity theory in autism.

Main Results:

  • fMRI studies suggest weaker coordination between brain regions in individuals with autism.
  • The cortical underconnectivity theory provides a framework for understanding autism's neural basis.
  • Underconnectivity may lead to piecemeal information processing in autism.

Conclusions:

  • Autism may stem from disrupted integration of multiple brain regions, particularly cortical networks.
  • Functional and structural connectivity are critical components for understanding autism.
  • DTI and fMRI are valuable tools for investigating brain connectivity in autism research.