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Quality assessment and control of unprocessed anatomical, functional and diffusion MRI of the human brain using MRIQC

Year: 2026
Type: review
DOI: 10.1038/s41596-026-01352-y
Authors: McKenzie P. Hagen, Céline Provins, Eilidh MacNicol, Jamie K. Li, Teresa Gomez, Mélanie Garcia, Saren H. Seeley, Jon Haitz Legarreta, Martin Norgaard, Patrick G. Bissett, Russell A. Poldrack, Ariel Rokem, Oscar Esteban
Institutions: University of Washington, Centre Hospitalier Universitaire Vaudois, University of Lausanne, King's College London, Stanford University, Harvard University, Massachusetts General Hospital, Icahn School of Medicine at Mount Sinai, Brigham and Women's Hospital, Mass General Brigham, University of Copenhagen, National Institutes of Health, National Institute of Mental Health, HES-SO University of Applied Sciences and Arts Western Switzerland, HES-SO Valais-Wallis
Language: English
Field: Medicine
Open Access status: green
Funders: National Science Foundation, U.S. Department of Energy, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, National Institutes of Health, Office of Science, National Institute on Aging, National Institute of Mental Health, Advanced Scientific Computing Research
Awards: Uncovering the interplay of structure, function, and dynamics of brain connectivity using MRI, NIPreps: integrating neuroimaging preprocessing workflows across modalities, populations, and species, Dynamic functional connectivity as a neurobiological mechanism of adaptation in widowed older adults, 2022 COMPUTATIONAL SCIENCE GRADUATE FELLOWSHIP PROGRAM, 2022 COMPUTATIONAL SCIENCE GRADUATE FELLOWSHIP PROGRAM, BIDS-Derivatives: A data standard for derived data and models in the BRAIN Initiative, G824380962, OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data, Training the next generation of clinical neuroscientists
OpenAlex ID: W4403647397
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