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Statistical Parametric Mapping. SPM (Statistical Parametric Mapping) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. These ideas have been instantiated in software that is called SPM.
These are known colloquially as t-or F-maps. The success of statistical parametric mapping is due largely to the simplicity of the idea. Namely, one analyses each and every voxel (i.e. , image volume element) using any standard (univariate) statistical test, usually based on a General Linear Model (GLM) of the data.