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XCP-D : A Robust Postprocessing Pipeline of fMRI data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Oct 2022Publisher:Zenodo
Authors: Adebimpe, Azeez; Bertolero, Maxwell; Mehta, Kahini; Salo, Taylor; Murtha, Kristin; Cieslak, Matthew; Meisler, Steven; +5 Authors

doi: 10.5281/zenodo.7630872 , 10.5281/zenodo.7717239 , 10.5281/zenodo.7630344 , 10.5281/zenodo.15931439 , 10.5281/zenodo.14681382 , 10.5281/zenodo.15297530 , 10.5281/zenodo.7274598 , 10.5281/zenodo.7464740 , 10.5281/zenodo.14751221 , 10.5281/zenodo.14728015 , 10.5281/zenodo.7641582 , 10.5281/zenodo.14706031 , 10.5281/zenodo.16536562 , 10.5281/zenodo.7308447 , 10.5281/zenodo.14908190 , 10.5281/zenodo.7510488 , 10.5281/zenodo.7308331 , 10.5281/zenodo.7640010 , 10.5281/zenodo.14201367 , 10.5281/zenodo.15178477 , 10.5281/zenodo.7641626

XCP-D : A Robust Postprocessing Pipeline of fMRI data

Abstract

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.

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Keywords

BIDS-App, fMRI, Neuroimaging

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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