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Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging

机译:区域性DTI措施在区分阿尔茨海默氏病,MCI和正常衰老方面的有效性

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The Alzheimer's Disease Neuroimaging Initiative (ADNI) recently added diffusion tensor imaging (DTI), among several other new imaging modalities, in an effort to identify sensitive biomarkers of Alzheimer's disease (AD). While anatomical MRI is the main structural neuroimaging method used in most AD studies and clinical trials, DTI is sensitive to microscopic white matter (WM) changes not detectable with standard MRI, offering additional markers of neurodegeneration. Prior DTI studies of AD report lower fractional anisotropy (FA), and increased mean, axial, and radial diffusivity (MD, AxD, RD) throughout WM. Here we assessed which DTI measures may best identify differences among AD, mild cognitive impairment (MCI), and cognitively healthy elderly control (NC) groups, in region of interest (ROI) and voxel-based analyses of 155 ADNI participants (mean age: 73.5±7.4; 90 M/65 F; 44 NC, 88 MCI, 23AD). Both VBA and ROI analyses revealed widespread group differences in FA and all diffusivity measures. DTI maps were strongly correlated with widely-used clinical ratings (MMSE, CDR-sob, and ADAS-cog). When effect sizes were ranked, FA analyses were least sensitive for picking up group differences. Diffusivity measures could detect more subtle MCI differences, where FA could not. ROIs showing strongest group differentiation (lowest p -values) included tracts that pass through the temporal lobe, and posterior brain regions. The left hippocampal component of the cingulum showed consistently high effect sizes for distinguishing groups, across all diffusivity and anisotropy measures, and in correlations with cognitive scores. Highlights ? DTI scans in ADNI2 provide numerous biomarkers of Alzheimer's disease. ? FA, MD, AxD, and RD measures all detect MCI and AD white matter deficits. ? DTI FA and diffusivity measures are correlated with clinical cognitive scores. ? FA is the least sensitive DTI measure for detecting AD related differences. ? WM in the temporal lobe, corpus callosum and cingulum is repeatedly implicated.
机译:阿尔茨海默氏病神经影像学倡议(ADNI)最近增加了弥散张量成像(DTI),以及其他几种新的成像方式,以努力识别阿尔茨海默氏病(AD)的敏感生物标志物。尽管解剖MRI是大多数AD研究和临床试验中使用的主要结构神经成像方法,但DTI对标准MRI无法检测到的微观白质(WM)变化敏感,从而提供了神经变性的其他标记。先前关于AD的DTI研究报告,整个WM的分数各向异性(FA)较低,并且平均,轴向和径向扩散率(MD,AxD,RD)均增加。在这里我们评估了哪些DTI措施可以最好地识别AD,155名ADNI参与者的感兴趣区域(ROI)和基于体素的分析(平均年龄: 73.5±7.4; 90 M / 65 F; 44 NC,88 MCI,23AD)。 VBA和ROI分析均显示FA和所有扩散率指标之间存在广泛的群体差异。 DTI图与广泛使用的临床评分(MMSE,CDR-sob和ADAS-cog)密切相关。当对效应大小进行排序时,FA分析对收集组差异最不敏感。扩散度量可以检测出更多细微的MCI差异,而FA则无法。 ROI表现出最强的群体分化能力(最低p值),包括穿过颞叶和大脑后部的区域。扣带的左侧海马成分在所有扩散性和各向异性测量中均表现出较高的区分组效果,且与认知评分相关。强调 ? ADNI2中的DTI扫描提供了多种阿尔茨海默氏病生物标志物。 ? FA,MD,AxD和RD措施均可检测MCI和AD白质缺乏症。 ? DTI FA和扩散性测度与临床认知评分相关。 ? FA是用于检测AD相关差异的最不敏感的DTI度量。 ?颞叶,call体和扣带中的WM反复牵连。

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