| Literature DB >> 23831353 |
Hengjun J Kim1, Sang Joon Kim, Ho Sung Kim, Choong Gon Choi, Namkug Kim, Seungbong Han, Eun Hye Jang, Sun J Chung, Chong Sik Lee.
Abstract
Although Parkinson's disease is a neurodegenerative disease primarily involving basal ganglia and midbrain, the deficit of white matter is also involved during the disease progression. As the diffusion tensor imaging method is sensitive to the microstructural changes, we investigated the microstructural alterations in white matter and deep gray matter in patients with Parkinson's disease. Brain images of 64 patients and sex- and age-matched 64 healthy controls were obtained from a 3T MRI scanner. Tract-based spatial statistics were used to compare the mean diffusivity of the white matter tract between the groups. Voxel-based analysis was used to compare the mean diffusivity of the subcortical gray matter between the groups. There were white matter deficits in the corticofugal tract, cingulum, uncinate fasciculus, crus of fornix or stria terminalis, corpus callosum, external capsule, superior longitudinal fasciculus, posterior thalamic radiation including optic radiation, and the tracts adjacent to the precuneus and supramarginal gyrus, as indicated by higher mean diffusivity in Parkinson's disease patients than in controls. There were also deficits in the left putamen, pallidum, thalamus, and caudate as indicated by higher mean diffusivity in Parkinson's disease patients than in controls. Using diffusion tensor imaging and multi-methods of image analysis, we successfully characterized and visualized brain white matter and deep gray matter areas with microstructural deficits in Parkinson's disease patients.Entities:
Keywords: DTI; DWI; Diffusion tensor imaging (DTI); FA; FMRIB software library; FSL; FWE; MD; Mean diffusivity (MD); PD; Parkinson's disease; Parkinson's disease (PD); ROI; TBSS; diffusion tensor imaging; diffusion-weighted image; family-wise error; fractional anisotropy; mean diffusivity; region-of-interest; tract-based spatial statistics
Mesh:
Year: 2013 PMID: 23831353 DOI: 10.1016/j.neulet.2013.06.050
Source DB: PubMed Journal: Neurosci Lett ISSN: 0304-3940 Impact factor: 3.046