Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. These ideas have been instantiated in a free and open source software that is called SPM.
The SPM software package has been designed for the analysis of brain imaging data sequences. The sequences can be a series of images from different cohorts, or time-series from the same subject. The current release is designed for the analysis of fMRI, PET, SPECT, EEG and MEG.
The development of the SPM software takes place in the spm repository. This is the place to interact with the SPM development team, report issues and open pull requests.
Previous releases of the software are available in dedicated repositories:
If you encounter a bug with SPM, please let us know by opening an issue with a description of the problem you are facing, reproduction steps, and any logs you might have. This is also the place to request a new feature. If you prefer to contact us directly, you can do so by email at [email protected].
To propose a change in one of the repositories, please open a pull request (PR). The development of SPM takes place in this repository so this is likely to be the right place to open a new PR. If this is your first ever, don't worry, you just need to create a GitHub account and follow the instructions from GitHub or "First Contributions".
Please remember to check our Community Guidelines before contributing.
