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[Preprint]. 2023 Jul 5:2023.04.18.537240. Originally published 2023 Apr 19. [Version 3] doi: 10.1101/2023.04.18.537240

Figure 2. Denoising benchmark workflow.

Figure 2.

The denoising benchmark workflow expands on the workflow in Figure 1 (represented by the Nilearn logo in this figure). We retrieved the datasets from OpenNeuro through DataLad and all steps indicated with the arrows are implemented with bash scripts written for the SLURM scheduler. Atlases were either retrieved from the TemplateFlow archive or reformatted to fit the TemplateFlow format. The extracted time series, denoising metrics, and all metadata for generating the report are available on Zenodo (10.5281/zenodo.6941757).