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Updated: Aug 8, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Diffusion tensor imaging metrics associated with future disability in multiple sclerosis.

E Lopez-Soley¹, E Martinez-Heras², E Solana³

¹Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Calle Villarroel 170, 08036, Barcelona, Spain.

Scientific Reports

|March 2, 2023

Summary

This summary is machine-generated.

Brain diffusion changes in white and grey matter predict disability in multiple sclerosis (MS) patients. Specific white matter tracts link to motor function, while grey matter regions correlate with cognitive performance.

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Last Updated: Aug 8, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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Published on: July 28, 2013

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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

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Published on: August 14, 2019

Area of Science:

Neuroimaging
Neurology
Biomedical Engineering

Background:

The link between brain microstructural changes and disability in multiple sclerosis (MS) is not fully understood.
Investigating diffusion metrics in white matter (WM) and grey matter (GM) can offer insights into MS progression.

Purpose of the Study:

To explore the predictive value of WM and GM microstructural properties for mid-term disability in MS patients.
To identify specific brain regions associated with clinical outcomes in MS.

Main Methods:

185 MS patients underwent diffusion tensor imaging and clinical assessments (EDSS, T25FW, 9HPT, SDMT) at baseline and follow-up.
Lasso regression analyzed baseline WM fractional anisotropy and GM mean diffusivity for prediction of outcomes at 4.1 years.
Specific WM tracts and GM cortical regions were identified in relation to motor and cognitive function.

Main Results:

WM diffusion metrics predicted motor performance (T25FW, 9HPT), with cingulum, longitudinal fasciculus, optic radiation, forceps minor, and frontal aslant being key WM tracts.
GM diffusion metrics predicted cognitive function (SDMT), with temporal and frontal cortical regions showing relevance.
The study found regional specificity in the relationship between diffusion metrics and clinical outcomes.

Conclusions:

Brain diffusion microstructural changes in specific WM tracts and GM regions are predictive of motor and cognitive disability in MS.
These findings highlight the potential for diffusion imaging biomarkers in developing improved predictive models and therapeutic strategies for MS.