Always a pleasure to see @pierre_bellec talk at #NeuroLibre day.

Now we just need to convince him to federate his publishing platform over ActivityPub.
You can experience this yourself (without losing your laptop and resetting your work environment) on #neurolibre πŸŽ‰ All the quality metrics data are available and you can check out all the figures in the manuscript, and all the alternative visualisations!
https://neurolibre.org/papers/10.55458/neurolibre.00012
A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn

Wang et al., (2023). A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn. NeuroLibre Reproducible Preprints, 12, https://doi.org/10.55458/neurolibre.00012

NeuroLibre
Our work β€œA reproducible benchmark of resting-state #fMRI denoising strategies using #fMRIPrep and @nilearn is now officially on the reproducible preprint service #NeuroLibre and @biorxivpreprint πŸŽ‰
https://neurolibre.org/papers/10.55458/neurolibre.00012
A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn

Wang et al., (2023). A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn. NeuroLibre Reproducible Preprints, 12, https://doi.org/10.55458/neurolibre.00012

NeuroLibre