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首页> 外文期刊>Psychiatry Research. Neuroimaging >Statistical adjustments for brain size in volumetric neuroimaging studies: some practical implications in methods.
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Statistical adjustments for brain size in volumetric neuroimaging studies: some practical implications in methods.

机译：体积神经影像学研究中脑大小的统计调整：方法中的一些实际含义。

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Volumetric magnetic resonance imaging (MRI) brain data provide a valuable tool for detecting structural differences associated with various neurological and psychiatric disorders. Analysis of such data, however, is not always straightforward, and complications can arise when trying to determine which brain structures are "smaller" or "larger" in light of the high degree of individual variability across the population. Several statistical methods for adjusting for individual differences in overall cranial or brain size have been used in the literature, but critical differences exist between them. Using agreement among those methods as an indication of stronger support of a hypothesis is dangerous given that each requires a different set of assumptions be met. Here we examine the theoretical underpinnings of three of these adjustment methods (proportion, residual, and analysis of covariance) and apply them to a volumetric MRI data set. These three methods used for adjusting for brain size are specific cases of a generalized approach which we propose as a recommended modeling strategy. We assess the level of agreement among methods and provide graphical tools to assist researchers in determining how they differ in the types of relationships they can unmask, and provide a useful method by which researchers may tease out important relationships in volumetric MRI data. We conclude with the recommended procedure involving the use of graphical analyses to help uncover potential relationships the ROI volumes may have with head size and give a generalized modeling strategy by which researchers can make such adjustments that include as special cases the three commonly employed methods mentioned above.
机译：体磁共振成像（MRI）脑数据为检测与各种神经系统疾病和精神疾病相关的结构差异提供了宝贵的工具。然而，对此类数据的分析并不总是那么简单，并且鉴于整个人群的个体差异性很大，当试图确定哪些大脑结构“更小”或“更大”时，可能会出现并发症。文献中已经使用了几种统计方法来调整整体颅骨或大脑大小的个体差异，但是它们之间存在着关键的差异。鉴于每种方法都需要满足一组不同的假设，因此使用这些方法之间的一致性来表示对假设的更强支持是危险的。在这里，我们检查了这三种调整方法（比例，残差和协方差分析）的理论基础，并将其应用于体积MRI数据集。这三种用于调整大脑大小的方法是通用方法的特定情况，我们建议将其作为推荐的建模策略。我们评估了各种方法之间的一致性水平，并提供了图形工具来帮助研究人员确定他们可以揭示的关系类型之间的差异，并提供一种有用的方法，研究人员可以借此从体积MRI数据中找出重要的关系。我们以推荐的程序结束，该程序包括使用图形分析来帮助发现ROI体积与头部大小的潜在关系，并给出一种通用的建模策略，研究人员可以通过该策略进行调整，包括特殊情况下上述三种常用方法。

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