fMRI is a powerful tool used in the study of brain function. It can non-invasively detect signal changes in areas of the brain where neuronal activity is varying. This chapter is a comprehensive description of the various steps in the statistical analysis of fMRI data. This will cover topics such as the general linear model (including orthogonality, haemodynamic variability, noise modelling, and the use of contrasts), multi-subject statistics, and statistical thresholding (including random field theory and permutation methods). © 2009 Humana Press.

Original publication

DOI

10.1007/978-1-60327-919-2_7

Type

Book

Publication Date

15/10/2009

Volume

41

Pages

179 - 236