title: Multiple testing corrections, nonparametric methods, and random field theory.
abstract: I provide a selective review of the literature on the multiple testing problem in fMRI. By drawing connections with the older modalities, PET in particular, and how software implementations have tracked (or lagged behind) theoretical developments, my narrative aims to give the methodological researcher a historical perspective on this important aspect of fMRI data analysis.
authors.affiliation: Warwick Manufacturing Group & Department of Statistics, University of Warwick, Coventry CV4 7AL, UK. t.e.nichols@warwick.ac.uk
authors.forename: Thomas E
authors.initials: TE
authors.lastname: Nichols
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; D008279:Magnetic Resonance Imaging / Q000266:history* / Q000379:methods; D049268:Positron-Emission Tomography / Q000266:history / Q000379:methods; D012984:Software / Q000266:history*; D018709:Statistics, Nonparametric