neuroimaging-qc
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.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Voir la source ↗GuidesInstructions
Fonctions et usage
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.
Démarrage rapide
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Guides ↗Exemples
Consultez les exemples du dépôt source.
Voir la source ↗Historique source
- Date d’indexation
- 2026-01-22
- Mise à jour de l’index
- 2026-01-23
- Branch
- main
Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.
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