neuroimaging-qc

What problem does it solve?

This Skill provides a principled framework for interpreting QC metrics across neuroimaging pipelines to guide subject inclusion decisions and report reproducible quality criteria.

Core Features & Use Cases

• Workflow guidance: Interpret QC outputs from MRIQC, fMRIPrep, and custom pipelines to decide which subjects to exclude.
• Decision documentation: Generate exclusion summaries and methods sections to accompany publications.
• Use Case: In a study with fMRI and structural MRI data, determine exclusions based on FD, tsnr, and other IQMs, and produce a concise QC report.

Quick Start

Start by loading MRIQC and fMRIPrep outputs, mapping key metrics to predefined thresholds, and generating a subject-level exclusion list with justification.