Quality Control in Resting-State fMRI: The Benefits of Visual Inspection

Rebecca Lepping, PhD Presenter
University of Kansas Medical Center
Kansas City, KS 
United States
Saturday, Jul 22: 8:00 AM - 5:00 PM
Educational Course - Full Day (8 hours) 
Room: 510 
Background: Reliability of resting-state functional magnetic resonance imaging (rs-fMRI) 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. A variety of quality control (QC) approaches are employed to determine data quality and ultimately inclusion or exclusion of a fMRI data set in group analysis. In this talk, we describe our methods for performing QC of rs-fMRI data using software-generated quantitative and qualitative output and trained visual inspection. We will review our step-by-step process for quantitative data review of files and file structure as well as qualitative data review including documentation of 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 improves the rigor, reliability, and accuracy of rs-fMRI data analysis.