A Voxel-Based Morphometry and Diffusion Tensor Imaging Analysis of Asymptomatic Parkinson's Disease-Related G2019S LRRK2 Mutation Carriers

作者：Thaler Avner^*; Artzi Moran; Mirelman Anat; Jacob Yael; Helmich Rick C; van Nuenen Bart F L; Gurevich Tanya; Orr Urtreger Avi; Marder Karen; Bressman Susan; Bloem Bastiaan R; Hendler Talma; Giladi Nir; Ben Bashat Dafna

来源：Movement Disorders, 2014, 29(6): 823-827.

DOI：10.1002/mds.25827

• Parkinson's disease
• LRRK2
• G2019S
• magnetic resonance imaging
• diffusion tensor imaging
• voxel-based morphometry

BackgroundPatients with Parkinson's disease have reduced gray matter volume and fractional anisotropy in both cortical and sub-cortical structures, yet changes in the pre-motor phase of the disease are unknown.
MethodsA comprehensive imaging study using voxel-based morphometry and diffusion tensor imaging tract-based spatial statistics analysis was performed on 64 Ashkenazi Jewish asymptomatic first degree relatives of patients with Parkinson's disease (30 mutation carriers), who carry the G2019S mutation in the leucine-rich repeat kinase 2 (LRRK2) gene.
ResultsNo between-group differences in gray matter volume could be noted in either whole-brain or volume-of-interest analysis. Diffusion tensor imaging analysis did not identify group differences in white matter areas, and volume-of-interest analysis identified no differences in diffusivity parameters in Parkinson's disease-related structures.
ConclusionsG2019S carriers do not manifest changes in gray matter volume or diffusivity parameters in Parkinson's disease-related structures prior to the appearance of motor symptoms.

• 出版日期2014-5