Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095, USA.
Soc Cogn Affect Neurosci. 2007 Sep;2(3):251-7. doi: 10.1093/scan/nsm019.
The analysis of group fMRI data requires a statistical model known as the mixed effects model. This article motivates the need for a mixed effects model and outlines the different stages of the mixed model used to analyze group fMRI data. Different modeling options and their impact on analysis results are also described.
组 fMRI 数据的分析需要一种称为混合效应模型的统计模型。本文旨在说明使用混合效应模型的必要性，并概述用于分析组 fMRI 数据的混合模型的不同阶段。还描述了不同的建模选项及其对分析结果的影响。
