Modeling group fMRI data

Jeanette A Mumford; Russell A Poldrack

doi:10.1093/scan/nsm019

Modeling group fMRI data

Soc Cogn Affect Neurosci. 2007 Sep;2(3):251-7. doi: 10.1093/scan/nsm019.

Authors

Jeanette A Mumford¹, Russell A Poldrack

Affiliation

¹ Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095, USA. [email protected]

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Humans
Image Processing, Computer-Assisted*
Linear Models*
Magnetic Resonance Imaging*
Surveys and Questionnaires