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URL: http://fcp-indi.github.io
Proper Citation: C-PAC (RRID:SCR_000862)
Description: 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.
Abbreviations: C-PAC
Synonyms: Configurable Pipeline for the Analysis of Connectomes
Resource Type: software resource, software application, workflow software, image analysis data, data processing software
Keywords: computational neuroscience, connectivity analysis, macos, magnetic resonance, nifti, nipype, posix/unix-like, python, workflow, resting state functional mri, fmri
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