Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing

• Published in: arXiv.org
• Main Authors: Pham, Damon, McDonald, Daniel, Ding, Lei, Nebel, Mary Beth, Mejia, Amanda
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 16.02.2023
• Subjects: Cognition; Data analysis; Downstream effects; Forecasting; Head movement; Noise; Noise reduction; Outliers (statistics); Reliability analysis; Statistical analysis; Statistics - Applications; Washing
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2108.00319

Artifacts in functional MRI (fMRI) data cause deviations from common distributional assumptions, introduce spatial and temporal outliers, and reduce the signal-to-noise ratio of the data -- all of which can have negative consequences for downstream statistical analysis. Scrubbing is a technique for...