CONN (functional connectivity toolbox)

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For other uses, see conn (disambiguation).
CONN
Developer(s)The Gabrieli Lab. McGovern Institute for Brain Research. MIT
Stable release
2021
Mac OS X
TypeNeuroimaging data analysis
LicenseMIT License
Websitewww.nitrc.org/projects/conn - NITRC
www.conn-toolbox.org - CONN

CONN is a

resting state
and during task.

CONN is available as an SPM toolbox, as well as precompiled binaries for MacOS/Windows/Linux environments, and it is freely available for non-commercial use.

Functionality

CONN includes a user-friendly GUI to manage all aspects of functional connectivity analyses,

hypothesis testing
. In addition the processing pipeline can also be automated using batch scripts.

Preprocessing and denoising

CONN preprocessing pipeline includes steps designed to estimate and correct effects derived from subject motion within the scanner (realignment), correct spatial distortions due to inhomogeneities in the magnetic field (susceptibility distortion correction), correct for temporal misalignment across slices (slice timing correction), identify potential outlier images within each scanning session (outlier identification), classify different tissue types from each subject's anatomy (segmentation), or align functional and anatomical data across different subjects (functional or anatomical normalization).[5] In addition, the BOLD signal at white matter and ventricles can be used to characterize potential motion and physiological noise sources, and the combined effect of these and other noise sources can be removed from the functional data to improve the robustness of functional connectivity measures.[6]

Functional connectivity estimation

CONN computes multiple measures of functional connectivity, including Fisher-transformed

Independent Component Analyses, and other network-level measures.[7]

Group analyses

CONN supports

random fields,[9] and non-parametric cluster-level statistics.[10]

History

CONN is written by

MIT, Guenther Lab at Boston University, and PEN Lab at Northeastern University.[11]
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 100,000 times,

NIH funded Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) list of top-10 tools and resources in neuroimaging,[14] and the NITRC forum has indexed to date over 10,000 posts of software support from CONN's developers and community.[15]

See also

References

  1. PMID 22642651
    .
  2. ISBN 978-0-578-64400-4
    .
  3. PMID 17560126
    .
  4. PMID 22019881
    .
  5. ISBN 978-0-578-64400-4
    .
  6. PMID 21889994
    .
  7. ^ [1] functional connectivity measures
  8. ^ [2] General Linear Model statistics
  9. PMID 1400644
    .
  10. ^ [3] cluster-level inferences
  11. ^ [4] CONN toolbox website
  12. ^ [5] CONN toolbox download stats
  13. ^ [6] Google Scholar citations
  14. ^ [7] NITRC top viewed tools and resources
  15. ^ [8] NITRC forum statistics
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