title: Modeling group fMRI data.
abstract: 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.
authors.affiliation: Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095, USA. mumford@ucla.edu
authors.forename: Jeanette A
authors.initials: JA
authors.lastname: Mumford
authors.forename: Russell A
authors.initials: RA
authors.lastname: Poldrack
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D011795:Surveys and Questionnaires