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. C-PAC was designed to bring the power, flexibility and elegance of the Nipype platform to users in a plug and play fashion—without requiring the ability to program. Using an easy to read, text-editable configuration file, C-PAC can rapidly orchestrate automated R-fMRI processing procedures, including:
- quality assurance measurements
- image preprocessing based upon user specified preferences
- generation of functional connectivity maps (e.g., correlation analyses)
- customizable extraction of time-series data
- generation of local R-fMRI metrics (e.g., regional homogeneity, voxel-matched homotopic connectivity, fALFF/ALFF)

C-PAC makes it possible to use a single configuration file to launch a factorial number of pipelines differing with respect to specific processing steps.


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