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Atlas-based deep gray matter and white matter analysis in Alzheimer's disease:diffusion ;abnormality and correlation with cognitive function / 中华放射学杂志
Chinese Journal of Radiology ; (12): 348-352, 2016.
Article in Chinese | WPRIM | ID: wpr-493565
ABSTRACT
Objective To identify the diffusion alterations of deep gray matter(GM) and white matter (WM) among Alzheimer's disease (AD), mild cognitive impairment (MCI) and healthy people by atlas?based analysis (ABA), and to investigate the respective relationship with cognitive function. Methods Twenty?one AD patients (AD group), 8 MCI patients (MCI group) and 15 normal controls (control group) were performed by conventional MRI and diffusion tensor imaging (DTI). The raw data of DTI was processed by using DTI studio software to generate the fractional anisotropy (FA) images. Then ABA was used to quantify the FA value in 58 deep GM and WM structures. The differences of FA value among three groups were compared by using one way ANOVA, with a post?hoc analysis. In AD and MCI groups, the partial correlation was further investigated between mini?mental state examination (MMSE) score and FA value in the brain regions that have significant differences between AD and MCI group or between MCI and control group. Results Compared with control group, AD patients showed wide?spread FA decrease in most deep GM and WM regions (corrected P0.05). Conclusion Based on ABA, this study found the diffusion changes not only in the WM but also the deep GM in AD patients, but only WM diffusion disruptions in MCI group. The decreased FA value in the right SCC appeared early, but had no correlation with the cognitive impairment. The FA value in the hypothalamus, the fornix, the SLF and the cingulum decreased with the disease progression, and correlated positively with the cognition decline.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Radiology Year: 2016 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Radiology Year: 2016 Type: Article