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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Regional alterations of brain microstructure in Parkinson's disease using diffusion tensor imaging
Wang Zhan1, Gail A Kang, Graham A Glass
1Department of Radiology and Medical Imaging, Center of Imaging for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, California, USA. Wang.Zhan@gmail.com
Summary
Diffusion tensor imaging reveals white matter and basal ganglia changes in Parkinson's disease (PD). These microstructural alterations may serve as a potential biomarker for PD, correlating with disease severity.
Area of Science:
- Neuroimaging
- Neurology
- Biomarkers
Background:
- Parkinson's disease (PD) involves pathology in white matter and basal ganglia.
- Microstructural integrity alterations are suspected but require sensitive detection methods.
Purpose of the Study:
- To test if diffusion tensor imaging (DTI) can detect microstructural changes in PD-related brain regions.
- To investigate the association between DTI abnormalities and PD severity and subtypes.
Main Methods:
- Diffusion tensor imaging (DTI) at 4 Tesla was performed on 12 PD patients and 20 controls.
- Fractional anisotropy (FA) and mean diffusivity were analyzed using region-of-interest and voxel-based methods.
- Motor deficits and PD subtypes were assessed using the Unified Parkinson's Disease Rating Scale (UPDRS).
Main Results:
- PD subjects showed reduced FA in precentral gyrus, substantia nigra, putamen, posterior striatum, frontal lobe, and supplementary motor areas.
- Reduced FA in the substantia nigra correlated with increased UPDRS motor scores.
- Spatial correlations between putamen FA alterations and PD subtypes were observed.
Conclusions:
- DTI detects microstructural alterations in key brain regions affected by Parkinson's disease.
- These DTI-derived measures, particularly FA, show potential as biomarkers for PD.
- DTI findings correlate with clinical measures of PD severity and may help in subtype analysis.
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