Answers are grounded in this paper and cite their sources.
The lack of a standardized preprocessing pipeline is a significant source of variability that might lower the reproducibility of studies, especially across sites and with incomplete description of the preprocessing workflows. We evaluate the downstream impact of variability in preprocessing workflow by quantifying the reproducibility and variability of region-of-interest (ROI) analyses. While many pipelines achieve excellent reproducibility in most ROI, we observed a large variability in performance of preprocessing workflows to the extent that some pipelines are detrimental to the data quality and reproducibility.
No takes yet. Share an insight, caveat, or question.
Veraart et al. (2024) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: