Published November 10, 2020
| Version v1.7.2
Software
Open
FCP-INDI/C-PAC: C-PAC Version 1.7.2 Beta
Authors/Creators
- Steve Giavasis1
- Anibal Sólon2
- nrajamani3
- Daniel Clark3
- Ranjit
- Xinhui Li1
- Hecheng Jin
- Sharad Sikka4
- Jon Clucas5
- Zarrar Shehzad6
- John Pellman7
- Cameron Craddock8
- Caroline Froehlich
- Ranjit Khanuja
- Brian Cheung9
- Paul Novak
- Azeez Adebimpe
- Floris van Vugt
- James Kent10
- Sebastian Urchs
- Ilkay Isik11
- Yaroslav Halchenko12
- Daniel Lurie13
- Ross Lawrence
- Asier Erramuzpe
- joshua vogelstein14
- Rosalia Tungaraza
- Adam Liska
- Chris Gorgolewski15
- Dan Kessler16
- 1. Child Mind Institute
- 2. PhD Student in CS @ UTexas
- 3. @LiveRamp
- 4. CYAN INC
- 5. @ChildMindInstitute
- 6. Yale University
- 7. @ZuckermanBrain
- 8. Dell Medical School, University of Texas, Austin
- 9. UC Berkeley
- 10. @PsychoinformaticsLab
- 11. Max Planck Institute for Empirical Aesthetic
- 12. Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban
- 13. University of California, Berkeley
- 14. Johns Hopkins University
- 15. Google LLC
- 16. University of Michigan
Description
New Features
- Anatomical-Based BOLD Masking. Adapted from the DCAN Labs implementation, a new BOLD masking option is now available. Users can select this method to produce a BOLD mask that is produced by transforming the anatomical brain mask to BOLD space.
Improvements
- The motion estimate filter can now be forked, where the user can run a pipeline both with and without this processing step.
- Template-to-native space transformations within the pipeline have been made more robust to possible mis-transformations that would sometimes occur when the template-space images did not have much anatomical contrast.
Error Fixes
- The time series despiking step (performed by AFNI 3dDespike) is now able to be forked again.
- An error preventing EPI field maps for blip-up/down distortion correction from being parsed into the data configuration when labeled with unconventional
dir-tags has been fixed.
Coming Soon
- Pipeline Dashboard
- Surface-Based Processing
- BIDS-Derivatives Compatibility
In addition, the C-PAC Docker and Singularity images, as well as the AWS AMI, have all been updated. These provide a quick way to get started.
And as always, you can contact us here for user support and discussion: https://groups.google.com/forum/#!forum/cpax_forum
Files
FCP-INDI/C-PAC-v1.7.2.zip
Files
(78.0 MB)
| Name | Size | Download all |
|---|---|---|
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md5:adea43167f9fb0a53f4682cc76282482
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78.0 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/FCP-INDI/C-PAC/tree/v1.7.2 (URL)