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Updated: Sep 7, 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

Gradient Patterns of Age-Related Diffusivity Changes in Cerebral White Matter.

Jasmina Boban^1,2, Majda M Thurnher³, Nikola Boban⁴

¹Faculty of Medicine Novi Sad, Department of Radiology, University of Novi Sad, Novi Sad, Serbia.

Frontiers in Neurology

|June 20, 2022

Summary

This summary is machine-generated.

Brain aging shows complex white matter changes, with radial diffusivity (RD) most strongly correlating with age. Current aging patterns don't fully explain these varied changes across different brain fiber tracts.

Keywords:

brain aging diffusion-tensor imaging magnetic resonance imaging pattern physiological brain aging

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Area of Science:

Neuroscience
Radiology
Gerontology

Background:

Healthy brain aging involves complex white matter changes.
Existing theories propose antero-posterior, supero-inferior, and myelodegeneration-retrogenesis aging patterns.
Understanding these patterns requires correlating physiological measures with aging.

Purpose of the Study:

To correlate white matter diffusivity measures with chronological age and education level in healthy adults.
To investigate if diffusion tensor imaging (DTI) metrics align with proposed brain aging patterns.
To explore the relationship between DTI parameters and cognitive/educational factors.

Main Methods:

75 healthy participants (average age 37.32 ± 11.91) underwent brain MRI with DTI.
Tract-based spatial statistics (TBSS) analyzed fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD).
Pearson's correlation and Bonferroni correction were used to assess relationships with age and education.

Main Results:

Significant correlations were found between age and DTI measures in specific white matter regions (e.g., RD in posterior thalamic radiation).
Radial diffusivity (RD) demonstrated the most extensive correlations with age among all DTI metrics.
No significant correlations were observed between DTI parameters and educational level.
FA, MD, and RD changes were noted in projection fibers, while AD changes occurred in commissural fibers.

Conclusions:

Observed heterogeneity in white matter diffusivity changes suggests current aging gradient patterns are insufficient.
Age-related white matter changes vary across different fiber tracts, defying a single explanatory model.
Additional factors, like somatosensory decline, may be crucial for a comprehensive understanding of brain aging.