Statistical parametric mapping: a catalyst for cognitive neuroscience
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Date
2025-08
Publication Type
Other Journal Item
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yes
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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. Thisshort commentary reflects on key principles that have made SPM so enormously influential and successful: (i) the introduction of aprincipled general framework for statistical inference that applied to all neuroimaging modalities, (ii) the emphasis on open sourcecode, transparency, and collaboration, and (iii) constant evolution over three decades, from a frequentist mass-univariate frameworkto generative models of neuroimaging, electrophysiological, magnetoencephalographic, and behavioral data.
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published
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Volume
35 (8)
Pages / Article No.
Publisher
Oxford University Press
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Edition / version
Methods
Software
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Date created
Subject
SPM; Functional magnetic resonance imaging; Electroencephalography; Optically pumped magnetometry; Magnetoencephalography; Positron emission tomography
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Notes
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