Comparison of different methodological implementations of voxel-based morphometry in neurodegenerative disease
Comparison of different methodological implementations of voxel-based morphometry in neurodegenerative disease
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DOI：
10.1016/j.neuroimage.2005.02.005
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发表时间：
2005-06-01
期刊：
影响因子：
5.7
通讯作者：
Jack, CR
中科院分区：
文献类型：
--
作者：
Senjem, ML;Gunter, JL;Jack, CR
基于体素的形态测量（VBM）是一种流行的方法，用于探测组间脑形态学的差异。然而，算法的详细实施中的变化将影响VBM分析的明显结果，进而影响关于特定疾病状态的解剖表达的推断。我们定性评估组比较43名正常老年对照组和51名可能患有阿尔茨海默病的患者，使用五种不同的VBM变化。根据已知的疾病病理表现，我们评估了每种疾病的生物相容性。使用自定义模板和自定义组织类先验概率图像（先验）生成的组间比较图比使用蒙特利尔神经学研究所（MNI）模板和先验具有更高的生物相容性。我们提出了一种方法，用于初始化自定义模板的标准化，并得出结论，当纳入VBM处理链，它会产生生物学上最合理的组间差异的五种方法。(c)2005年爱思唯尔公司All rights reserved.
Voxel-based morphometry (VBM) is a popular method for probing inter-group differences in brain morphology. Variation in the detailed implementation of the algorithm, however, will affect the apparent results of VBM analyses and in turn the inferences drawn about the anatomic expression of specific disease states. We qualitatively assessed group comparisons of 43 normal elderly control subjects and 51 patients with probable Alzheimer's disease, using five different VBM variations. Based on the known pathologic expression of the disease, we evaluated the biological plausibility of each. The use of a custom template and custom tissue class prior probability images (priors) produced inter-group comparison maps with greater biological plausibility than the use of the Montreal Neurological Institute (MNI) template and priors. We present a method for initializing the normalization to a custom template, and conclude that, when incorporated into the VBM processing chain, it yields the most biologically plausible inter-group differences of the five methods presented. (c) 2005 Elsevier Inc. All rights reserved.