Editorial: Demonstrating quality control (QC) procedures in fMRI

This Research Topic, "Demonstrating Quality Control (QC) Procedures in fMRI," 1 focused on promoting quality control descriptions and discussions within the FMRI community. We invited anyone in the field to participate and perform their QC protocol of choice on sets of task-based and resting state FMRI data, describing their steps and criteria in detail. Ten teams participated, utilizing processing and QC methods that are available from a wide variety of software packages. The resulting set of articles represents a didactic resource for the field moving forward, as a reference for teaching and describing QC procedures.The examined data collection came from real, unaltered, and publicly available datasets from widely used distributions. These repositories are typically uncurated, and therefore one should expect to see some QC issues arise-that is one of the fundamental reasons this Research Topic was organized, and the aim of this project is certainly not to derogate the collections themselves but simply to use "real world" datasets for demonstrating detailed QC. Importantly, the assortment was selected explicitly to include a full gamut of "good" to "poor" quality datasets. Even so, among the QC issues found and reported were: extreme subject motion, severe ghosting, upside-down EPIs, incomplete FOV coverage, low TSNR, severe EPI distortion and dropout, left-right flipping of datasets, mismatched subjects, systematic spatio-temporal EPI artifacts, incorrect slice-timing, t...