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'''Statistical parametric mapping''' or '''SPM''' is a [[statistical]] technique created by [[Karl Friston]] for examining differences in [[brain]] activity recorded during [[functional neuroimaging]] experiments using [[neuroimaging]] technologies such as [[functional Magnetic Resonance Imaging|fMRI]] or [[Positron Emission Tomography|PET]]. It may also refer to a specific piece of software created by the ''Wellcome Department of Imaging Neuroscience'' (part of [[University College London]]) to carry out such analyses.
==Approach==
===Unit of measurement===
Functional neuroimaging, one type of 'brain scanning', involves the measurement of brain activity. The specific technique used to measure brain activity depends on the imaging technology being used (see [[fMRI]] and [[Positron Emission Tomography|PET]] for examples). Regardless of which technology is used, the scanner produces a 'map' of the area being scanned that is represented as [[voxel]]s. Each voxel typically represents the activity of a particular coordinate in three-dimensional space. The exact size of a voxel will vary depending on the technology used, although fMRI voxels typically represent a volume of 27 mm<sup>3</sup> (a cube with 3mm length sides).
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