The containers can be used in combination with our transparent singularity or neurocommand tool, that wrap the executables inside a container to make them easily available for pipelines
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 scanner to functional connectivity matrices.
XCP-D picks up right where fMRIprep ends, directly consuming the outputs of fMRIPrep. XCP-D leverages the BIDS and NiPrep frameworks to automatically generate denoised BOLD images, parcellated time series, functional connectivity matrices, and quality assessment reports. XCP-D can also process outputs from: NiBabies and Minimally preprocessed HCP data.
https://www.biorxiv.org/content/10.1101/2023.11.20.567926v1
https://hub.docker.com/r/pennlinc/xcp_d/tags/
https://github.com/PennLINC/xcp_d?tab=readme-ov-file
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 scanner to functional connectivity matrices.
XCP-D picks up right where fMRIprep ends, directly consuming the outputs of fMRIPrep. XCP-D leverages the BIDS and NiPrep frameworks to automatically generate denoised BOLD images, parcellated time series, functional connectivity matrices, and quality assessment reports. XCP-D can also process outputs from: NiBabies and Minimally preprocessed HCP data.