Correlations between microstructural alterations and severity of cognitive deficiency in Alzheimer's disease and mild cognitive impairment: a diffusional kurtosis imaging study
Correlations between microstructural alterations and severity of cognitive deficiency in Alzheimer's disease and mild cognitive impairment: a diffusional kurtosis imaging study
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DOI：
10.1016/j.mri.2012.10.027
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发表时间：
2013-06-01
影响因子：
2.5
通讯作者：
Chu, Yiu-Ching
中科院分区：
文献类型：
--
作者：
Gong, Nan-Jie;Wong, Chun-Sing;Chu, Yiu-Ching
对象：弥散峰度成像（DKI）是弥散张量成像（DTI）的自然延伸，可以表征大脑中的非高斯弥散。我们研究了DKI参数检测轻度认知功能障碍（MCI）和阿尔茨海默病（AD）患者的灰质（GM）和白色物质（WM）的微结构变化的能力，并试图确定这些DIU参数是否可以作为成像生物标志物，以指示认知缺陷的严重程度。材料和方法：DKI进行了18例AD患者和12例MCI患者。采用Mann-Whitney U检验比较两组颞、顶、额、枕叶各向异性分数、峰度和扩散率参数。区域DIU参数和简易精神状态检查（MMSE）评分之间的相关性进行了测试，使用Pearson的correlations.Results：在AD中，显着增加的扩散系数和降低峰度参数，观察到在两个GM和WM的顶叶和枕叶相比，MCI。在AD的这些叶的WM中也观察到显著降低的分数各向异性。除分数各向异性和径向峰度外，其他5个DIG参数与MMSE评分在GM和WM中均表现出显著相关性。带着更多的信息，DKI模型可以提供灵敏的成像生物标志物，用于参考MMSE评分评估认知缺陷的严重程度，并基于表征WM和WM中的微结构，尤其是GM。(C)2013 Elsevier Inc. All rights reserved.
Object: Diffusional kurtosis imaging (DKI), a natural extension of diffusion tensor imaging (DTI), can characterize non-Gaussian diffusion in the brain. We investigated the capability of DKI parameters for detecting microstructural changes in both gray matter (GM) and white matter (WM) in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) and sought to determine whether these DIU parameters could serve as imaging biomarkers to indicate the severity of cognitive deficiency.Materials and Methods: DKI was performed on 18 AD patients and 12 MCI patients. Fractional anisotropy, kurtosis and diffusivity parameters in the temporal, parietal, frontal and occipital lobes were compared between the two groups using Mann-Whitney U test. The correlations between regional DIU parameters and mini-mental state examination (MMSE) score were tested using Pearson's correlation.Results: In ADs, significantly increased diffusivity and decreased kurtosis parameters were observed in both the GM and WM of the parietal and occipital lobes as compared to MCIs. Significantly decreased fractional anisotropy was also observed in the WM of these lobes in ADs. With the exception of fractional anisotropy and radial kurtosis, all the five other DIG parameters exhibited significant correlations with MMSE score in both GM and WM.Conclusion: Bearing additional information, the DKI model can provide sensitive imaging biomarkers for assessing the severity of cognitive deficiency in reference to MMSE score and potentially improve early detection and progression monitoring of AD based on characterizing microstructures in both the WM and especially the GM. (C) 2013 Elsevier Inc. All rights reserved.