Version 1.4.0 Beta - 2019.02.04

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