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SPM25:open source neuroimaging analysis software

Title: SPM25:open source neuroimaging analysis software
Authors: Tierney, Tim M.; Alexander, Nicholas A.; Avila, Nicole Labra; Balbastre, Yael; Barnes, Gareth; Bezsudnova, Yulia; Brudfors, Mikael; Eckstein, Korbinian; Flandin, Guillaume; Friston, Karl; Jafarian, Amirhossein; Kowalczyk, Olivia S.; Litvak, Vladimir; Medrano, Johan; Mellor, Stephanie; O'Neill, George; Parr, Thomas; Razi, Adeel; Timms, Ryan; Zeidman, Peter
Source: Tierney, T M, Alexander, N A, Avila, N L, Balbastre, Y, Barnes, G, Bezsudnova, Y, Brudfors, M, Eckstein, K, Flandin, G, Friston, K, Jafarian, A, Kowalczyk, O S, Litvak, V, Medrano, J, Mellor, S, O'Neill, G, Parr, T, Razi, A, Timms, R & Zeidman, P 2025, 'SPM25 : open source neuroimaging analysis software', Journal of Open Source Software. https://doi.org/10.21105/joss.08103
Publication Year: 2025
Collection: King's College, London: Research Portal
Subject Terms: q-bio.QM; q-bio.NC
Description: 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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: info:eu-repo/semantics/altIdentifier/arxiv/http://arxiv.org/abs/2501.12081v1
DOI: 10.21105/joss.08103
Availability: https://kclpure.kcl.ac.uk/portal/en/publications/f6bbd69d-d4ac-4bda-a75c-402487d47eea; https://doi.org/10.21105/joss.08103; https://kclpure.kcl.ac.uk/ws/files/351927245/2501.12081v1.pdf
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.6EC500D3
Database: BASE