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人类大脑中与年龄相关的水扩散变化:基于体素的研究方法。

Age-related water diffusion changes in human brain: a voxel-based approach.

作者信息

Càmara Estela, Bodammer Nils, Rodríguez-Fornells Antoni, Tempelmann Claus

机构信息

Faculty of Psychology, University of Barcelona, Passeig de la Vall d'Hebrón 171, 08035, Barcelona, Spain.

出版信息

Neuroimage. 2007 Feb 15;34(4):1588-99. doi: 10.1016/j.neuroimage.2006.09.045. Epub 2006 Dec 22.

Abstract

The aim of the present study is to investigate age-related changes in water self-diffusion in cerebral white matter by analysing diffusion-weighted MRI from a sample of 54 healthy volunteers. A voxel-based analysis of the relative anisotropy and the apparent diffusion coefficients was performed by applying an optimized normalization protocol. Linear regression analysis revealed significant correlations with age in the corpus callosum, prefrontal regions, the internal capsule, the hippocampal complex, and the putamen. However, in other regions, such as those surrounding the ventricles, the insula, or the inferior frontal plane, significant correlations between age and ADC were observed, presumably as a result of morphological age-related variations. A mask procedure was carried out in order to distinguish between morphological involvement and real age-related white matter changes. Our results indicate that in interpreting the changes in each significant region it is necessary to proceed with precaution because the voxel-based statistical analysis might yield a mixture of two effects: (i) morphological changes that remain after the normalization procedure and (ii) actual diffusivity parameter changes. Anatomically defined regions of interest may help us to minimize morphologic involvement and draw comparisons with findings previously published.

摘要

本研究的目的是通过分析54名健康志愿者样本的扩散加权磁共振成像,研究脑白质中水的自扩散随年龄的变化。通过应用优化的归一化方案,对相对各向异性和表观扩散系数进行基于体素的分析。线性回归分析显示,胼胝体、前额叶区域、内囊、海马复合体和壳核与年龄存在显著相关性。然而,在其他区域,如脑室周围、岛叶或额下平面,观察到年龄与表观扩散系数之间存在显著相关性,这可能是与年龄相关的形态学变化的结果。为了区分形态学影响和实际的年龄相关白质变化,进行了掩膜程序。我们的结果表明,在解释每个显著区域的变化时,必须谨慎进行,因为基于体素的统计分析可能会产生两种效应的混合:(i)归一化程序后仍然存在的形态学变化,以及(ii)实际扩散率参数变化。解剖学定义的感兴趣区域可能有助于我们尽量减少形态学影响,并与先前发表的研究结果进行比较。

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