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Automatic Analysis (aa) software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CI Docker image available! manuscript resource

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Update

Please, be aware that this README is not updated anymore; therefore, some information might be outdated and the links might be broken.

The new website at http://automaticanalysis.github.io is now live and should be the primary point of reference.

Please, consult with this README only when you do not find the desired information at http://automaticanalysis.github.io.

About

aa is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

More information can be found on the aa website.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

There is also a discussion list:

https://groups.google.com/d/forum/automaticanalysis

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090