title: Consensus inference in neuroimaging.
abstract: We introduce model averaging in neuroimaging. We show that model summary images can be directly compared and averaged after histogram equalization. We demonstrate that averaging enhances the ROC curve in a simulation study. The averaging procedure is applied to a fMRI study of motor cortex.
authors.affiliation: Informatics and Mathematical Modelling, Technical University of Denmark, DK-2800 Lyngby, Denmark.
authors.forename: L K
authors.initials: LK
authors.lastname: Hansen
authors.forename: F A
authors.initials: FA
authors.lastname: Nielsen
authors.forename: S C
authors.initials: SC
authors.lastname: Strother
authors.forename: N
authors.initials: N
authors.lastname: Lange
mesh_terms: D001931:Brain Mapping; D017352:Echo-Planar Imaging; D005385:Fingers / Q000294:innervation; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D015233:Models, Statistical; D009043:Motor Activity / Q000502:physiology; D009044:Motor Cortex / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology