SPM 25: open source neuroimaging analysis software
Fuente:
arXiv
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| Autori principali: | , , , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866911080626782208 |
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| author | 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 |
| author_facet | 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 |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_12081 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SPM 25: open source neuroimaging analysis software 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 Quantitative Methods Neurons and Cognition 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. |
| title | SPM 25: open source neuroimaging analysis software |
| topic | Quantitative Methods Neurons and Cognition |
| url | https://arxiv.org/abs/2501.12081 |