ArticleFrontiers in neuroimaging2022
Quality control in functional MRI studies with MRIQC and fMRIPrep.
Article in Frontiers in neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Investigating the Contribution of Molecular-Enriched Functional Connectivity to Brain-Age Analysis.Human brain mapping · 2026Article
- eyeris: A Flexible, Extensible, and Reproducible Pupillometry Preprocessing Framework in R.Psychophysiology · 2026Article
- Article
- A new fMRI quality metric using multi-echo information: Theory, validation and implications.bioRxiv : the preprint server for biology · 2026Article
- A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction.PloS one · 2026Article
- Neural and physiological correlates of parent-child observational threat extinction.Scientific reports · 2025Article
- Investigating the Contribution of Molecular-Enriched Functional Connectivity to Brain-Age Analysis.bioRxiv : the preprint server for biology · 2025Article
- Development of a Diagnostic Prediction Model for Post-Stroke Cognitive Impairment in Acute Large Vessel Occlusion Stroke Using Multimodal MRI and PET/CT: A Study Protocol.Brain and behavior · 2025Article
- Removing facial features from structural MRI images biases visual quality assessment.PLoS biology · 2025Article
- Defacing biases visual quality assessments of structural MRI.bioRxiv : the preprint server for biology · 2025Article
- Article
- Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets.PloS one · 2025Article
- A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth, and interactive QC with afni_proc.py and more.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool mrQA.Neuroinformatics · 2024Article
- QRATER: a collaborative and centralized imaging quality control web-based application.Aperture neuro · 2024Article
- A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth and interactive QC with afni_proc.py and more.bioRxiv : the preprint server for biology · 2024Article
- Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction.International journal of biomedical imaging · 2024Article
- Gamer in the scanner: Event-related analysis of fMRI activity during retro videogame play guided by automated annotations of game content.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
5 authors.
Funding
Abstract
The implementation of adequate quality assessment (QA) and quality control (QC) protocols within the magnetic resonance imaging (MRI) research workflow is resource- and time-consuming and even more so is their execution. As a result, QA/QC practices highly vary across laboratories and "MRI schools", ranging from highly specialized knowledge spots to environments where QA/QC is considered overly onerous and costly despite evidence showing that below-standard data increase the false positive and false negative rates of the final results. Here, we demonstrate a protocol based on the visual assessment of images one-by-one with reports generated by MRIQC and fMRIPrep, for the QC of data in functional (blood-oxygen dependent-level; BOLD) MRI analyses. We particularize the proposed, open-ended scope of application to whole-brain voxel-wise analyses of BOLD to correspondingly enumerate and define the exclusion criteria applied at the QC checkpoints. We apply our protocol on a composite dataset (
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