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.
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.
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.