CONN (functional connectivity toolbox)

CONN is a Matlab-based cross-platform imaging software for the computation, display, and analysis of functional connectivity in fMRI (functional Magnetic Resonance Imaging) in the resting state and during task.
CONN is available as a SPM toolbox and it is freely available for non-commercial use.
Usage.
CONN offers a user-friendly GUI to manage all aspects of functional connectivity analyses, including preprocessing of functional and anatomical volumes, elimination of subject-movement and physiological noise, outlier scrubbing, estimation of multiple connectivity and network measures, and population-level hypothesis testing. In addition the processing pipeline can also be automated using batch scripts
History.
CONN is written by Alfonso Nieto-Castanon. It has been supported by the Gabrieli Lab at MIT, Guenther Lab at Boston University, and PEN Lab at Northeastern University. The first release of CONN was in 2011 and there has been approximately one major new release each year to date.
Impact.
Since its release CONN has been downloaded over 50,000 times to date, it has been used in over 1,000 publications, and it is included in the NIH funded Neuroimaging Informatics Tools and Resources Clearinghouse list of top-10 tools and resources in neuroimaging
Download.
CONN can be downloaded from its home page at the NITRC site, and user resources and support are provided at the CONN site and the CONN support forum