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.
@article{arxiv.2501.12081,
title = {SPM 25: open source neuroimaging analysis software},
author = {Tim M. Tierney and Nicholas A. Alexander and Nicole Labra Avila and Yael Balbastre and Gareth Barnes and Yulia Bezsudnova and Mikael Brudfors and Korbinian Eckstein and Guillaume Flandin and Karl Friston and Amirhossein Jafarian and Olivia S. Kowalczyk and Vladimir Litvak and Johan Medrano and Stephanie Mellor and George O'Neill and Thomas Parr and Adeel Razi and Ryan Timms and Peter Zeidman},
journal= {arXiv preprint arXiv:2501.12081},
year = {2025}
}