XCP-D: A Robust Pipeline for the post-processing of fMRI data

Area of Science:

• Neuroscience
• Medical Imaging

Background:

• Functional neuroimaging is crucial for neuroscience research.
• Standardized pre-processing pipelines exist, but post-processing lacks standardization.
• Existing post-processing tools have limitations in supporting diverse pipelines and BIDS best practices.

Approach:

• XCP-D is a novel, collaborative post-processing tool developed by PennLINC and the DCAN lab.
• It utilizes an open development model on GitHub with continuous integration testing.
• XCP-D is distributed as a Docker container or Singularity image for accessibility.

Key Points:

• Generates denoised BOLD images and functional derivatives from resting-state fMRI data.
• Supports NifTI and CIFTI file formats.
• Compatible with outputs from fMRIPrep, HCP, and ABCD-BIDS pre-processing pipelines.

Conclusions:

• XCP-D addresses the lack of standardization in fMRI data post-processing.
• Facilitates robust, scalable, and reproducible neuroimaging analysis.
• Already adopted by researchers, indicating its utility and demand.