The Quantitative Neuroimaging Environment & Toolbox (QuNex) is an open-source software suite that collectively supports an extensible framework for data organization, preprocessing, quality assurance, and analyses across neuroimaging modalities, co-developed by the Cho Lab at Yale University and the Mind and Brain Lab at University of Ljubljana.

QuNex Quick Start

To get started with QuNex please register and then refer to the Quick Start Guide.

Citing QuNex

Ji JL*, Demšar J*, Fonteneau C, Tamayo Z, Pan L, Kraljič A, Matković A, Purg N, Helmer M, Warrington S, Winkler A, Zerbi V, Coalson TS, Glasser MF, Harms M, Sotiropoulos SN, Murray JD, Anticevic A†, Repovš G† (*,† denote equal contribution); QuNex – An Integrative Platform for Reproducible Neuroimaging Analytics.; https://doi.org/10.3389/fninf.2023.1104508

Jure Demšar, Aleksij Kraljič, Andraž Matkovič, Samuel Brege, Lining Pan, Zailyn Tamayo, Clara Fonteneau, Markus Helmer, Jie Lisa Ji, Alan Anticevic, Cole Korponay, Melissa Salavrakos, Daniel Drucker, Matthew F. Glasser, Lisa D. Nickerson, Youngsun T. Cho, Grega Repovš; QuNex recipes: Executable, human-readable workflows for reproducible neuroimaging research. Imaging Neuroscience 2026; 4 IMAG.a.1274. doi: https://doi.org/10.1162/IMAG.a.1274