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Published on: June 26, 2013
Voxel-based morphometry and voxel-based relaxometry in multiple system atrophy-a comparison between clinical subtypes
M Minnerop1, K Specht, J Ruhlmann
1Department of Neurology, University Hospital of Bonn, Bonn, Germany. m.minnerop@uni-bonn.de
Multiple system atrophy (MSA) involves gray and white matter loss in the brain, particularly in the cerebellum and brainstem. These structural changes correlate with disease severity in both cerebellar (MSA-C) and parkinsonian (MSA-P) variants.
Area of Science:
- Neuroimaging
- Neurology
- Neurodegeneration
Background:
- Multiple system atrophy (MSA) is a rare, fatal neurodegenerative disorder.
- It affects multiple areas of the nervous system, including the basal ganglia, cerebellum, and brainstem.
- Clinical variants include cerebellar (MSA-C) and parkinsonian (MSA-P) types.
Purpose of the Study:
- To investigate structural brain changes in MSA using voxel-based morphometry (VBM) and voxel-based relaxometry (VBR).
- To compare brain abnormalities between MSA-C and MSA-P variants.
- To correlate structural changes with disease duration and severity.
Main Methods:
- Voxel-based morphometry (VBM) to assess gray and white matter volume.
- Voxel-based relaxometry (VBR) to measure relaxation rate R2.
- Analysis of 48 MSA patients (32 MSA-C, 16 MSA-P) and 46 healthy controls.
Main Results:
- MSA-C showed gray matter loss in the cerebellum, thalamus, putamina, and insular cortex, with white matter loss in the brainstem.
- VBR revealed decreased R2 in the cerebellum, brainstem, and insular cortex in MSA-C.
- MSA-P exhibited gray matter reduction in the cerebellum, midbrain, putamina, and insular cortex.
- Structural differences were more pronounced in infratentorial regions for MSA-C compared to MSA-P.
Conclusions:
- Both MSA-C and MSA-P involve widespread gray matter loss, with distinct patterns.
- White matter and R2 changes in the cerebellum and brainstem are significant in MSA-C.
- VBM and VBR are valuable tools for characterizing MSA neuropathology and differentiating variants.
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