SPM 25: open source neuroimaging analysis software
Tim M. Tierney, Nicholas A. Alexander, Nicole Labra Avila, Yael Balbastre, Gareth Barnes, Yulia Bezsudnova, Mikael Brudfors, Korbinian Eckstein, Guillaume Flandin, Karl Friston, Amirhossein Jafarian, Olivia S. Kowalczyk, Vladimir Litvak, Johan Medrano, Stephanie Mellor
TL;DR
SPM 25 is a major update to the open source neuroimaging analysis software, introducing new methods, optimizations, and enhanced open science practices to improve brain imaging hypothesis testing.
Contribution
This paper presents SPM 25, a significant new version with novel analysis methods and improved development practices for neuroimaging data analysis.
Findings
Incorporates novel analysis methods
Optimizes existing neuroimaging techniques
Enhances open science and software development practices
Abstract
Statistical Parametric Mapping (SPM) is an integrated set of methods for testing hypotheses about the brain's structure and function, using data from imaging devices. These methods are implemented in an open source software package, SPM, which has been in continuous development for more than 30 years by an international community of developers. This paper reports the release of SPM 25.01, a major new version of the software that incorporates novel analysis methods, optimisations of existing methods, as well as improved practices for open science and software development.
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Taxonomy
MethodsSparse Evolutionary Training