Published December 20, 2022
| Version 0.3.1
Software
Open
XCP-D : A Robust Postprocessing Pipeline of fMRI data
Authors/Creators
- 1. University of Pennsylvania
- 2. Harvard-MIT Division of Health Sciences and Technology
- 3. University of Minnesota
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-0.3.1.zip
Files
(642.7 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/PennLINC/xcp_d/tree/0.3.1 (URL)