NeuroLibre is a preprint server for reproducible data analyses.

Committed to publishing executable books along with all the reproducibility assets: code, data, and reproducible runtime.

Rooting for reproducible research. One publication at a time.
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Recently Published Reproducible Preperints 3


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

Jupyter Notebook Python

Hao-Ting Wang, Steven L. Meisler, Hanad Sharmarke, Natasha Clarke, François Paugam, Nicolas Gensollen, Christopher J. Markiewicz, Bertrand Thirion, Pierre Bellec


NiMARE: Neuroimaging Meta-Analysis Research Environment

Jupyter Notebook JavaScript Python

Taylor Salo, Tal Yarkoni, Thomas E. Nichols, Jean-Baptiste Poline, Murat Bilgel, Katherine L. Bottenhorn, Dorota Jarecka, James D. Kent, Adam Kimbler, Dylan M. Nielson, Kendra M. Oudyk, Julio A. Peraza, Alexandre Pérez, Puck C. Reeders, Julio A. Yanes, Angela R. Laird


An interactive meta-analysis of MRI biomarkers of myelin

R Jupyter Notebook

Matteo Mancini, Agah Karakuzu, Julien Cohen-Adad, Mara Cercignani, Thomas E. Nichols, Nikola Stikov

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