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Published February 20, 2019 | Version v1.4.0
Software Open

FCP-INDI/C-PAC: CPAC Version 1.4.0 Beta

  • 1. Child Mind Institute
  • 2. @LiveRamp
  • 3. CYAN INC
  • 4. Yale University
  • 5. Columbia University Libraries @cul
  • 6. UC Berkeley
  • 7. Dell Medical School, University of Texas, Austin
  • 8. @HBClab
  • 9. Max Planck Institute for Empirical Aesthetic
  • 10. University of California, Berkeley
  • 11. Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban
  • 12. University of Trento
  • 13. johns hopkins university
  • 14. University of Michigan
  • 15. Stanford University

Description

Ease of Use

  • Quick Start Guide. By pulling our Docker or Singularity container, you can kick off C-PAC with your dataset in minutes, without any prior package or library installations other than Docker or Singularity. More info available on our User Guide.

New Features

  • Turnkey Mode. For users who prefer not to make decisions regarding their pipeline, C-PAC now includes a pre-configured default pipeline that includes the most commonly used decisions. The pre-configured pipeline selections are described in the Quick-start guide under "Running Turnkey Mode".
  • Nonparametric Permutation Inference. FMRIB's FSL Randomise has been integrated into C-PAC's suite of group-level analyses. You can use the already-existing FSL group-level presets or the group model builder to specify your model.

Improvements

  • Early Access to the new C-PAC GUI. The first part of C-PAC's new graphical user interface (GUI) for generating and editing custom pipelines is available! All are encouraged to take a quick test-drive of the pipeline builder and let us know your thoughts. All feedback welcome on our forum.
  • Group Model-Building Modularity. As part of an ongoing process of improving usability, C-PAC's group-level analysis model builder now offers more control over your model design. It is now easier to review changes to your design matrix before specifying contrasts.

Error Fixes

  • An error preventing users from running only anatomical preprocessing has been fixed.
  • An error in the Unpaired Two-Group Difference preset of the FSL Group Model Presets, which was causing certain covariate labels to occasionally be formatted improperly, has been fixed.

Coming Soon (Release 1.5 early 2019)

  • More denoising options
  • Quasi-periodic pattern (QPP) identification
  • New Graphical User Interface (GUI) Upgrade
  • Further modularity & usability improvements

Files

FCP-INDI/C-PAC-v1.4.0.zip

Files (29.1 MB)

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