Document Type
Article
Publication Date
5-4-2023
Identifier
DOI: 10.3389/fnins.2023.1076824; PMCID: PMC10192849
Abstract
BACKGROUND: A variety of quality control (QC) approaches are employed in resting-state functional magnetic resonance imaging (rs-fMRI) to determine data quality and ultimately inclusion or exclusion of a fMRI data set in group analysis. Reliability of rs-fMRI data can be improved by censoring or "scrubbing" volumes affected by motion. While censoring preserves the integrity of participant-level data, including excessively censored data sets in group analyses may add noise. Quantitative motion-related metrics are frequently reported in the literature; however, qualitative visual inspection can sometimes catch errors or other issues that may be missed by quantitative metrics alone. In this paper, we describe our methods for performing QC of rs-fMRI data using software-generated quantitative and qualitative output and trained visual inspection.
RESULTS: The data provided for this QC paper had relatively low motion-censoring, thus quantitative QC resulted in no exclusions. Qualitative checks of the data resulted in limited exclusions due to potential incidental findings and failed pre-processing scripts.
CONCLUSION: Visual inspection in addition to the review of quantitative QC metrics is an important component to ensure high quality and accuracy in rs-fMRI data analysis.
Journal Title
Front Neurosci
Volume
17
First Page
1076824
Last Page
1076824
Keywords
artifacts; functional magnetic resonance imaging (fMRI); quality control; reproducibility of results; resting state—fMRI
Recommended Citation
Lepping RJ, Yeh HW, McPherson BC, et al. Quality control in resting-state fMRI: the benefits of visual inspection. Front Neurosci. 2023;17:1076824. Published 2023 May 4. doi:10.3389/fnins.2023.1076824
Comments
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Publisher's Link: https://www.frontiersin.org/articles/10.3389/fnins.2023.1076824/full