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Published March 10, 2023 | Version 0.4.0rc2
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XCP-D : A Robust Postprocessing Pipeline of fMRI data

Description

XCP-D paves the final section of the reproducible and scalable route from the MRI scanner to functional connectivity data in the hands of neuroscientists. We developed XCP-D to extend the BIDS and NiPrep apparatus to the point where data is most commonly consumed and analyzed by neuroscientists studying functional connectivity. Thus, with the development of XCP-D, data can be automatically preprocessed and analyzed in BIDS format, using NiPrep-style containerized code, all the way from the from the scanner to functional connectivity matrices.

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Files

PennLINC/xcp_d-0.4.0rc2.zip

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