CONN team
The Computational Neuroscience Research Lab is responsible for CONN's development and support. It is headed by Alfonso Nieto-Castanon, CONN's creator and lead developer.
The toolbox originated as part of a collaboration between Alfonso Nieto-Castanon and Susan Whitfield-Gabrieli at the MIT Gabrieli Lab, and it has been since supported by valuable contributions from past and present members of the MIT Gabrieli Lab (McGovern Institute for Brain Research, Massachusetts Institute of Technology), BU Guenther Lab (Sargent College, Boston University), MIT Ev Lab (McGovern Institute for Brain Research, Massachusetts Institute of Technology), and NEU Whitfield-Gabrieli Lab (Northeastern Biomedical Imaging Center, Center for Cognitive and Brain Health, Northeastern University). We would also like to thank specially the contributions of Sheeba Arnold Anteraper, who is an active collaborator and programmer currently at the Carle Illinois Advanced Imaging Center, and Robert L. Savoy, who directs and organizes the official CONN workshops in the Martinos Center for Biomedical Imaging at Massachusetts General Hospital.
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 pre-compiled executable files which do not require access to Matlab installations or licenses.