Continuous evaluation of denoising strategies in resting-state fMRI connectivity using fMRIPrep and Nilearn
Fig 2
The denoising benchmark workflow expands on the workflow in Fig 1 (represented by the purple box). 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 [33].