Published June 2, 2023 | Version v1
Software Open

A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn

Creators

  • 1. Centre de recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM), Montréal, Québec, Canada
  • 2. Harvard University, MA, USA
  • 3. Computer Science and Operations Research Department, Université de Montréal, Montréal, Québec, Canada
  • 4. Inria, CEA, Université Paris-Saclay, Paris, France
  • 5. Department of Psychology, Stanford University, Stanford, United States

Contributors

Contact person:

  • 1. NeuroLibre

Description

GitHub archive of the reference repository/commit by roboneuro, based on the latest change by the author.

For details, please visit the corresponding NeuroLibre technical screening.

https://neurolibre.org

Files

GitHubRepo_10.55458_NeuroLibre_00012_b56875.zip

Files (2.5 MB)

Additional details

Related works

Is supplement to
Preprint: 10.55458/neurolibre.00012 (DOI)