Published March 31, 2026 | Version 26.0.1
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-26.0.1.zip

Files (10.1 MB)

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Additional details

Related works

Is supplement to
Software: https://github.com/PennLINC/xcp_d/tree/26.0.1 (URL)

Software

Repository URL
https://github.com/PennLINC/xcp_d