Modeling group fMRI data
1Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA, and 2Department of Psychology, Department of Psychiatry and Biobehavioral Sciences, and Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA
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.
Keywords: functional magnetic resonance imaging; mixed effects model; summary statistics; group studies
Correspondence should be addressed to Dr Jeanette A. Mumford, UCLA Department of Psychology, Box 951563, 1285 Franz Hall, Los Angeles, CA 90095, USA. E-mail: mumford{at}ucla.edu.
Received March 29, 2007. Accepted April 20, 2007.