Saxe Rebecca, Brett Matthew, Kanwisher Nancy
Harvard Society of Fellows, USA.
Neuroimage. 2006 May 1;30(4):1088-96; discussion 1097-9. doi: 10.1016/j.neuroimage.2005.12.062. Epub 2006 Apr 24.
Numerous functionally distinct regions of cortex (e.g., V1, MT, the fusiform face area) can be easily identified in any normal human subject in just a few minutes of fMRI scanning. However, the locations of these regions vary across subjects. Investigations of these regions have therefore often used a functional region of interest (fROI) approach in which the region is first identified functionally in each subject individually, before subsequent scans in the same subjects test specific hypotheses concerning that region. This fROI method, which resembled long-established practice in visual neurophysiology, has methodological, statistical, and theoretical advantages over standard alternatives (such as whole-brain analyses of group data): (i) because functional properties are more consistently and robustly associated with fROIs than with locations in stereotaxic space, functional hypotheses concerning fROIs are often the most straightforward to frame, motivate, and test, (ii) because hypotheses are tested in only a handful of fROIs (instead of in tens of thousands of voxels), advance specification of fROIs provides a massive increase in statistical power over whole-brain analyses, and (iii) some fROIs may serve as candidate distinct components of the mind/brain worth investigation as such. Of course fROIs can be productively used in conjunction with other complementary methods. Here, we explain the motivation for and advantages of the fROI approach, and we rebut the criticism of this method offered by Friston et al. (Friston, K., Rotshtein, P., Geng, J., Sterzer, P., Henson, R., in press. A critique of functional localizers. NeuroImage).
在几分钟的功能磁共振成像(fMRI)扫描中,就能在任何正常人类受试者身上轻松识别出许多功能不同的皮质区域(例如,V1区、MT区、梭状回面孔区)。然而,这些区域的位置在不同受试者之间存在差异。因此,对这些区域的研究通常采用感兴趣功能区(fROI)方法,即在同一受试者后续扫描测试关于该区域的特定假设之前,先在每个受试者个体上从功能上识别该区域。这种fROI方法类似于视觉神经生理学中早已确立的做法,与标准替代方法(如对组数据进行全脑分析)相比,具有方法学、统计学和理论上的优势:(i)因为功能特性与fROI的关联比与立体定向空间中的位置更一致、更稳健,所以关于fROI的功能假设通常最容易构建、激发和检验;(ii)由于假设仅在少数几个fROI中进行检验(而不是在数万个体素中),fROI的预先设定相较于全脑分析在统计功效上有大幅提高;(iii)一些fROI可能本身就作为值得研究的心智/大脑的候选独特组成部分。当然,fROI可以与其他互补方法一起有效使用。在这里,我们解释了fROI方法的动机和优势,并反驳了弗里斯顿等人(Friston, K., Rotshtein, P., Geng, J., Sterzer, P., Henson, R.,即将发表。功能定位器的批判。《神经影像学》)对该方法的批评。