Details

Autor(en) / Beteiligte

• Lepping, Rebecca J
• Yeh, Hung-Wen
• McPherson, Brent C
• Brucks, Morgan G
• Sabati, Mohammad
• Karcher, Rainer T
• Brooks, William M
• Habiger, Joshua D
• Papa, Vlad B
• Martin, Laura E

Titel

Quality control in resting-state fMRI: the benefits of visual inspection

Ist Teil von

• Frontiers in neuroscience, 2023-05, Vol.17, p.1076824-1076824

Ort / Verlag

Switzerland: Frontiers Research Foundation

Erscheinungsjahr

2023

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• 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. 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. 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.