title: The general linear model and fMRI: does love last forever?
abstract: In this review, we first set out the general linear model (GLM) for the non technical reader, as a tool able to do both linear regression and ANOVA within the same flexible framework. We present a short history of its development in the fMRI community, and describe some interesting examples of its early use. We offer a few warnings, as the GLM relies on assumptions that may not hold in all situations. We conclude with a few wishes for the future of fMRI analyses, with or without the GLM. The appendix develops some aspects of use of contrasts for testing for the more technical reader.
authors.affiliation: Neurospin, Bat. 145, CEA, Gif-sur-Yvette 91191, France. jbpoline@cea.fr
authors.forename: Jean-Baptiste
authors.initials: JB
authors.lastname: Poline
authors.forename: Matthew
authors.initials: M
authors.lastname: Brett
mesh_terms: D001921:Brain / Q000033:anatomy & histology / Q000502:physiology; D001931:Brain Mapping / Q000266:history / Q000379:methods; D049673:History, 20th Century; D049674:History, 21st Century; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000266:history* / Q000379:methods*; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000266:history* / Q000379:methods*