QuNex, Qualitative Neuroimaging Environment and Toolbox, is a comprehensive neuroimaging preprocessing and analysis environment that can be deployed in source or containerised form in a variety of environments from personal computers to high-performance clusters and on the web. It is designed to support reproducible, state-of-the-art, high-throughput research. With in genesis at Washington University in Saint Louis, QuNex is developed jointly by MBLab, and Anticevic and Murray labs at Yale University.

QuNex is available as open source software in both source code and container form, as is documentation at qunex.yale.edu. Users are encouraged to post questions, advice, bug reports, and feature requests at forum.qunex.yale.edu. Here you will find blog posts explaining some of the design decisions and use cases, describing analytical features, and revealing other details about QuNex.



The genesis of QuNex

QuNex, Qualitative Neuroimaging Environment and Toolbox, started as a set of Matlab scripts that I started developing to enable efficient, robust, and reproducible preprocessing and analysis of fMRI data for task-related and resting state functional connectivity studies while working as a post-doc in Deanna Barch and Todd Braver's Cognitive Control