Diffusion Tensor Imaging for Assessing Brain Gray and White Matter Abnormalities in a Feline Model of alpha-Mannosidosis

作者：Kumar Manoj; Duda Jeff T; Yoon Sea Young; Bagel Jessica; O'Donnell Patricia; Vite Charles; Pickup Stephen; Gee James C; Wolfe John H; Poptani Harish^*

来源：Journal of Neuropathology and Experimental Neurology, 2016, 75(1): 35-43.

DOI：10.1093/jnen/nlv007

• Diffusion tensor imaging
• Lysosomal storage diseases
• Mannosidosis
• MRI
• Myelination
• Neuropathology

alpha-Mannosidosis (AMD) is an autosomal recessively inherited lysosomal storage disorder affecting brain function and structure. We performed ex vivo and in vivo diffusion tensor imaging (DTI) on the brains of AMD-affected cats to assess gray and white matter abnormalities. A multi-atlas approach was used to generate a brain template to process the ex vivo DTI data. The probabilistic label method was used to measure fractional anisotropy (FA), mean diffusivity, axial diffusivity, and radial diffusivity values from gray and white matter regions from ex vivo DTI. Regional analysis from various regions of the gray matter (frontal cortex, cingulate gyrus, caudate nucleus, hippocampus, thalamus, and occipital cortex), and white matter (corpus callosum, corticospinal tract, cerebral peduncle, external and internal capsule) was also performed on both ex vivo and in vivo DTI. Ex vivo DTI revealed significantly reduced FA from both gray and white matter regions in AMD-affected cats compared to controls. Significantly reduced FA was also observed from in vivo DTI of AMD-affected cats compared to controls, with lower FA values observed in all white matter regions. We also observed significantly increased axial and radial diffusivity values in various gray and white matter regions in AMD cats from both ex vivo and in vivo DTI data. Imaging findings were correlated with histopathologic analyses suggesting that DTI studies can further aid in the characterization of AMD by assessing the microstructural abnormalities in both white and gray matter.

• 出版日期2016-1