Editorial: Demonstrating quality control (QC) procedures in fMRI

Paul A Taylor; Daniel R Glen; Richard C Reynolds; Arshitha Basavaraj; Dustin Moraczewski; Joset A Etzel

doi:10.3389/fnins.2023.1205928

Editorial: Demonstrating quality control (QC) procedures in fMRI

Front Neurosci. 2023 May 31:17:1205928. doi: 10.3389/fnins.2023.1205928. eCollection 2023.

Authors

Paul A Taylor¹, Daniel R Glen¹, Richard C Reynolds¹, Arshitha Basavaraj², Dustin Moraczewski², Joset A Etzel³

Affiliations

¹ Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
² Data Science and Sharing Team, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
³ Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States.

No abstract available

Keywords: fMRI; quality control; resting state; task-based; visualization.

Publication types

Editorial

Grants and funding

PT, DG, and RR were supported by the NIMH Intramural Research Program (ZICMH002888) of the NIH/HHS, USA. JE was supported by the National Institutes of Health, grant number: R37MH066078 to Todd S. Braver. AB and DM were supported by the NIMH Intramural Research Program (ZICMH002960) of the NIH/HHS, USA. This work utilized the computational resources of the NIH HPC Biowulf cluster (http://hpc.nih.gov).