The CONN toolbox is developed by Alfonso Nieto-Castanon in collaboration with Susan Whitfield-Gabrieli and other members & collaborators of the MIT Gabrieli Lab, McGovern Institute of Brain Research.
The toolbox uses, integrates, or borrows extensively from the following sources:
- SPM: Statistical Parametric Mapping package. Software developed by members & collaborators of the Wellcome Trust Centre for Neuroimaging
- ART: Artifact detection/identification toolbox. Software developed by members & collaborators of the Gabrieli Lab at MIT
- NBS: Network Based Statistics connectome software. Developed by Andrew Zalesky at the University of Melbourne
- FreeSurfer: Software suite for processing and analyzing brain MRI data. Developed by the Laboratory for Computational Neuroimaging at the Athinoula A. Martinos Center for Biomedical Imaging.
- BCT: Brain Connectivity Toolbox. Network analysis software developed by Olaf Sporns and Mika Rubinov among other members & collaborators of Indiana University.
The toolbox is developed in Matlab, and it is distributed as Matlab source code, as well as a pre-compiled executable file for use in Linux environments which does not require access to Matlab installations or licenses.