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The art and science of using quality control to understand and improve fMRI data

Designing and executing a good quality control (QC) process is vital to robust and reproducible science and is often taught through hands on training. As FMRI research trends toward studies with larger sample sizes and highly automated processing pipelines, the people who analyze data are often dist...

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Detalles Bibliográficos
Autores principales: Teves, Joshua B., Gonzalez-Castillo, Javier, Holness, Micah, Spurney, Megan, Bandettini, Peter A., Handwerker, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117661/
https://www.ncbi.nlm.nih.gov/pubmed/37090794
http://dx.doi.org/10.3389/fnins.2023.1100544