Using fMRIPrep on the SCC
fMRIPrep is a preprocessing pipeline for task-based and resting-state functional MRI. It takes a BIDS dataset and applies a standard, well-validated sequence of steps — skull stripping, susceptibility distortion correction, head-motion correction, coregistration, normalization to a standard space, and confound estimation — while writing a detailed visual report for every subject it touches.
This guide covers running fMRIPrep on Boston University's Shared Computing Cluster (SCC). It documents fMRIPrep 25.2.5.
Before You Start
fMRIPrep requires a BIDS-valid dataset as input. We recommend running MRIQC first, so that you screen out unusable scans before committing the compute time fMRIPrep needs.
Contents
- Getting Started — loading the fMRIPrep module on the SCC.
- Running fMRIPrep — what the command-line options do.
- Running fMRIPrep on the SCC — the participant-level batch job.
- Checking Your Output — reading the HTML reports and the derivatives.
- Appendix — resource recommendations and version support.
Additional Resources
Questions? Contact us at help@scc.bu.edu.