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Methods

C-PAC has been implemented in Python using the Nipype pipelining library. Nipype provides C-PAC with mechanisms to automatically detect and exploit parallelism present in a pipeline, iterate over several parameter settings, and to restart a pipeline without having to recompute previously completed processing steps. C-PAC extends Nipype functionality by providing workflows specific to connectivity analyses, functional connectivity derivatives and analyses not present in other neuroimaging packages, and a simplified interface for specifying and running pipelines. The CPAC workflows are built from AFNI and FSL tools, as well as algorithms coded in Python using Scipy, Numpy and scikit-learn.