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Updated: May 24, 2025
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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
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Association Between Changes in White Matter Volume Detected With Diffusion Tensor-Based Morphometry and Motor
Matthew A Edwardson1,2, Amritha Nayak3,4,5, M Okan Irfanoglu3
1Department of Neurology, Georgetown University, Washington, DC.
Neurology
|March 3, 2025
Summary
Diffusion tensor-based morphometry (DTBM) detects white matter volume loss in the corticospinal tract (CST) after stroke. This DTBM marker correlates with arm motor recovery, aiding in predicting stroke outcomes.
Area of Science:
- Neuroimaging
- Stroke Recovery
- White Matter Integrity
Background:
- Conventional T1-based TBM has limitations in assessing white matter volumetric changes.
- Diffusion tensor-based morphometry (DTBM) offers enhanced accuracy for volumetric assessment.
Purpose of the Study:
- To evaluate DTBM's ability to detect corticospinal tract (CST) volume loss post-stroke.
- To determine the association between CST volume loss and impaired stroke recovery.
Main Methods:
- Retrospective analysis of MRI scans from acute ischemic stroke patients with arm impairment.
- Calculation of fractional anisotropy change (delta FA) and DTBM log of the Jacobian (LnJ) maps.
- Voxel-wise analysis correlating delta FA and LnJ with NIHSS arm motor recovery scores.
Main Results:
- DTBM identified significant correlations between white matter volume changes and arm motor recovery.
- Regions of interest included the corona radiata, internal capsule, and pons.
- Poor recovery groups showed diffuse delta FA changes and focal LnJ changes in the CST.
Conclusions:
- DTBM effectively detects focal CST volume loss post-stroke, likely due to Wallerian degeneration.
- Volumetric changes measured by DTBM complement FA in characterizing white matter loss.
- DTBM shows strong correlations with motor recovery, useful for outcome prediction.
