neuroimaging-qc

功能与用途

Evidence-based QC decision-making for neuroimaging data. Interpret QC metrics from any pipeline (fMRIPrep, MRIQC, FreeSurfer, MNE-Python, Homer3, custom outputs) to make justified inclusion/exclusion decisions. Covers fMRI, EEG, fNIRS, and structural MRI across populations (adults, infants, adolescents, clinical) and paradigms (resting-state, task, naturalistic, sleep). Use when filtering subjects based on QC outputs, setting exclusion thresholds, justifying QC criteria for methods sections, or parsing QC files programmatically with Python.

快速开始

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。