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Quality control in resting-state fMRI: the benefits of visual inspection
dc.contributor.author | Lepping, Rebecca J. | |
dc.contributor.author | Yeh, Hung-Wen | |
dc.contributor.author | McPherson, Brent C. | |
dc.contributor.author | Brucks, Morgan G. | |
dc.contributor.author | Sabati, Mohammad | |
dc.contributor.author | Karcher, Rainer T. | |
dc.contributor.author | Brooks, William M. | |
dc.contributor.author | Habiger, Joshua D. | |
dc.contributor.author | Papa, Vlad B. | |
dc.contributor.author | Martin, Laura E. | |
dc.date.accessioned | 2023-06-12T21:49:24Z | |
dc.date.available | 2023-06-12T21:49:24Z | |
dc.date.issued | 2023-05-04 | |
dc.identifier.citation | Lepping RJ, Yeh H-W, McPherson BC, Brucks MG, Sabati M, Karcher RT, Brooks WM, Habiger JD, Papa VB and Martin LE (2023) Quality control in resting-state fMRI: the benefits of visual inspection. Front. Neurosci. 17:1076824. doi: 10.3389/fnins.2023.1076824 | en_US |
dc.identifier.uri | https://hdl.handle.net/1808/34337 | |
dc.description.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. | en_US |
dc.publisher | Frontiers Media | en_US |
dc.rights | © 2023 Lepping, Yeh, McPherson, Brucks, Sabati, Karcher, Brooks, Habiger, Papa and Martin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | Artifacts | en_US |
dc.subject | Functional magnetic resonance imaging (fMRI) | en_US |
dc.subject | Resting state—fMRI | en_US |
dc.subject | Reproducibility of results | en_US |
dc.subject | Quality control | en_US |
dc.title | Quality control in resting-state fMRI: the benefits of visual inspection | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Sabati, Mohammad | |
kusw.kudepartment | Bioengineering Program | en_US |
dc.identifier.doi | 10.3389/fnins.2023.1076824 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.identifier.pmid | PMC10192849 | en_US |
dc.rights.accessrights | openAccess | en_US |