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Updated: Mar 15, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion imaging studies of Huntington's disease: A meta-analysis
Wanglin Liu1, Jing Yang1, JeanMarc Burgunder2
1Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Diffusion tensor imaging (DTI) detects brain microstructural damage in Huntington's Disease (HD), even in pre-symptomatic stages. Fractional anisotropy (FA) changes are more sensitive than mean diffusivity (MD) in early disease detection.
Area of Science:
- Neuroimaging
- Neurology
- Medical Diagnostics
Background:
- Diffusion tensor imaging (DTI) shows potential for detecting brain microstructural alterations.
- Previous DTI studies in Huntington's Disease (HD) have produced inconsistent findings.
Purpose of the Study:
- To integrate existing DTI studies on HD.
- To evaluate DTI's effectiveness in identifying microstructural damage in the HD brain through meta-analysis.
Main Methods:
- Systematic database searches for DTI studies in HD.
- Data extraction and analysis using CMA2 software with random-effect models.
- One-way sensitivity analysis to ensure result robustness.
Main Results:
- Meta-analysis of 140 pre-symptomatic HD (PreHD), 235 symptomatic HD (SymHD) patients, and 302 controls.
- Increased fractional anisotropy (FA) in caudate, putamen, globus pallidus; decreased FA in corpus callosum for both PreHD and SymHD.
- Increased mean diffusivity (MD) in putamen, thalamus (PreHD & SymHD), and caudate (SymHD); gender-based difference in caudate MD.
Conclusions:
- DTI detects white and gray matter microstructural damage in HD, including pre-symptomatic gene carriers.
- Fractional anisotropy (FA) is more sensitive than mean diffusivity (MD) for detecting early structural changes in PreHD.
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