Published May 30, 2026
| Version 26.1.0rc1
Software
Open
XCP-D : A Robust Postprocessing Pipeline of fMRI data
Authors/Creators
- 1. University of Pennsylvania
- 2. Columbia University
- 3. Turing Medical
- 4. University of Minnesota
- 5. University of Pittsburgh Medical Center
- 6. Stanford University
- 7. Hebrew University of Jerusalem
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.
Notes
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Files
PennLINC/xcp_d-26.1.0rc1.zip
Files
(10.1 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/PennLINC/xcp_d/tree/26.1.0rc1 (URL)
Software
- Repository URL
- https://github.com/PennLINC/xcp_d