Published October 20, 2022
| Version 0.2.0
Software
Open
XCP-D : A Robust Postprocessing Pipeline of fMRI data
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
If you use this software, please cite it using the metadata from this file.
Files
PennLINC/xcp_d-0.2.2.zip
Files
(642.7 MB)
| Name | Size | Download all |
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md5:875e40966c98d6729b0f0c519341bff6
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Additional details
Related works
- Is supplement to
- https://github.com/PennLINC/xcp_d/tree/0.2.2 (URL)