title: Activated region fitting: a robust high-power method for fMRI analysis using parameterized regions of activation.
abstract: An important issue in the analysis of fMRI is how to account for the spatial smoothness of activated regions. In this article a method is proposed to accomplish this by modeling activated regions with Gaussian shapes. Hypothesis tests on the location, spatial extent, and amplitude of these regions are performed instead of hypothesis tests of individual voxels. This increases power and eases interpretation. Simulation studies show robust hypothesis tests under misspecification of the shape model, and increased power over standard techniques especially at low signal-to-noise ratios. An application to real single-subject data also indicates that the method has increased power over standard methods.
authors.affiliation: Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands. w.d.weeda1@uva.nl
authors.forename: Wouter D
authors.initials: WD
authors.lastname: Weeda
authors.forename: Lourens J
authors.initials: LJ
authors.lastname: Waldorp
authors.forename: Ingrid
authors.initials: I
authors.lastname: Christoffels
authors.forename: Hilde M
authors.initials: HM
authors.lastname: Huizenga
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D003198:Computer Simulation; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008959:Models, Neurological; D016011:Normal Distribution; D012815:Signal Processing, Computer-Assisted