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**Authors** : Steven Giavasis, Cameron Craddock, Michael Milham
**Description** : The Configurable Pipeline for the Analysis of Connectomes (C-PAC) is a configurable, open-source, Nipype-based, automated processing pipeline for resting state functional MRI (R-fMRI) data, for use by both novice and expert users. It is designed and tested for use with human data (all ages), as well as with non-human primate and rodent data.
**Documentation** : [http://fcp-indi.github.io/](http://fcp-indi.github.io/)
**Link** : [Quick-Start](http://fcp-indi.github.io/docs/user/quick.html)
**Language** : Python
**Publication** : [Craddock et al. (2013)](https://www.frontiersin.org/10.3389/conf.fninf.2013.09.00042/event_abstract)
**Communication** : [C-PAC Forum](https://groups.google.com/forum/#!forum/cpax_forum)
**Restrictions** : None
**Authors** : Jochen Weber
**Description** : NeuroElf is a powerful Matlab-based toolbox for working with neuroimaging data.
**Documentation** : [NeuroElf website](http://neuroelf.net/)
**Link** : [http://neuroelf.net/](http://neuroelf.net/)
**Language** : Matlab
**Publication** : [http://neuroelf.net/](http://neuroelf.net/)
**Communication** : [GitHub](https://github.com/neuroelf/neuroelf-matlab)
**Restrictions** : See [license](http://neuroelf.net/wiki/doku.php?id=neuroelf_license)
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