ArticleCerebral cortex (New York, N.Y. : 1991)2025
Statistical parametric mapping: a catalyst for cognitive neuroscience.
Article in Cerebral cortex (New York, N.Y. : 1991), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Statistical Parametric Mapping (SPM) is a statistical framework and open source software package for neuroimaging data analysis. Originally created by Karl Friston in the early 1990s, it has been used by a vast number of scientific studies over the last three decades. SPM has not only revolutionized the analysis of neuroimaging data but also catalyzed the development of cognitive neuroscience. This short commentary reflects on key principles that have made SPM so enormously influential and successful: (i) the introduction of a principled general framework for statistical inference that applied to all neuroimaging modalities, (ii) the emphasis on open source code, transparency, and collaboration, and (iii) constant evolution over three decades, from a frequentist mass-univariate framework to generative models of neuroimaging, electrophysiological, magnetoencephalographic, and behavioral data.
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