Department of Radiology, Uppsala University, MRT, Entrance 24, Uppsala University Hospital, SE-751 85 Uppsala, Sweden.
Centre for Image Analysis, Uppsala University, Uppsala, Sweden.
Psychiatry Res. 2015 Mar 30;231(3):227-35. doi: 10.1016/j.pscychresns.2014.11.011. Epub 2014 Dec 5.
Intracranial volume (ICV) normalization of regional brain volumes (v) is common practice in volumetric studies of the aging brain. Multiple normalization methods exist and this study aimed to investigate when each method is appropriate to use in gender dimorphism studies and how differences in v are affected by the choice of method. A new method based on weighted ICV matching is also presented. Theoretical reasoning and simulated experiments were followed by an evaluation using real data comprising 400 subjects, all 75 years old, whose ICV was segmented with a gold standard method. The presented method allows good visualization of volume relation between gender groups. A different gender dimorphism in volume was found depending on the normalization method used for both simulated and real data. Method performance was also seen to depend on the slope (B) and intercept (m) from the linear relation between v and ICV (v=B·ICV+m) as well as gender distribution in the cohort. A suggested work-flow for selecting ICV normalization method when investigating gender related differences in regional brain volume is presented.
颅内体积(ICV)对区域性脑体积(v)的归一化是衰老大脑容积研究中的常用方法。存在多种归一化方法,本研究旨在探讨每种方法在性别二态性研究中何时适用,以及方法选择如何影响 v 的差异。还提出了一种基于加权 ICV 匹配的新方法。在对包含 400 名 75 岁受试者的真实数据进行评估之前,先进行了理论推理和模拟实验,这些受试者的 ICV 是使用金标准方法分割的。所提出的方法允许很好地可视化性别组之间的体积关系。对于模拟和真实数据,使用不同的归一化方法会发现不同的体积性别二态性。方法的性能还取决于 v 与 ICV 之间的线性关系(v=B·ICV+m)的斜率(B)和截距(m)以及队列中的性别分布。当研究与性别相关的区域性脑体积差异时,提出了一种选择 ICV 归一化方法的工作流程。