Software Open Access

Princeton Handbook for Reproducible Neuroimaging

Paula P. Brooks; Elizabeth A. McDevitt; Anne C. Mennen; Meghan Testerman; Na Yeon Kim; Matteo Visconti di Oleggio Castello; Samuel A. Nastase

The goal of this handbook is to provide a reference for best practices in reproducible fMRI research. There’s no single “right” answer for many questions in fMRI, but here we try to provide helpful references and recommendations. Many elements of the handbook are specific to the Princeton Neuroscience Institute computing infrastructure, but the principles are widely applicable. This document will be updated over time as best practices evolve.

Files (14.8 MB)
Name Size
14.8 MB Download
All versions This version
Views 17544
Downloads 135
Data volume 175.8 MB74.0 MB
Unique views 13036
Unique downloads 135


Cite as