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.

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Additional Resources

Questions? Contact us at help@scc.bu.edu.