The BBL image processing umbrella

Deprecation Notice

xcpEngine is no longer supported. xcpEngine is essentially completely configurable -- including configurations that don't make sense and would not pass peer review. Instead of maintaining this complex and potentially dangerous configurability, the most widely-used fMRI postprocessing workflows from xcpEngine are available (including for surface data) and rigorously tested/supported in XCP-D.

For ASL preprocessing, we recommend switching to ASLPrep.

Overview

xcpEngine provides a configurable, modular, agnostic, and multimodal platform for neuroimage processing and quality assessment. It implements a number of high-performance denoising approaches and computes regional and voxelwise values of interest for each modality. The system provides tools for calculating functional connectivity after preprocessing has been run in FMRIPREP, as well as a standard toolkit for benchmarking pipeline performance. All pipelines from our 2017 benchmarking paper are implementable, as are the pipelines evaluated in the recent work of Parkes and colleagues.

Documentation

Detailed documentation is accessible at the pipeline's documentation hub

If you experience any difficulties, we suggest that you search or post to the issues forum of the pipeline's GitHub repository.