Wonkyconn - quality metrics and insights into your fMRI connectomes! #9
Description
Title
Wonkyconn - quality metrics and insights into your fMRI connectomes!
Leaders
Hao-Ting Wang @htwangtw
Clara El Khantour @claraElk
Pierre Bergeret @pbergeret12
Collaborators
No response
Project Description
Evaluating the residual motion and analytic insights on the fMRI connectome and visualising reports.
The project is based on the code from SIMEXP/fmriprep-denoise-benchmark and the publication by Wang et al. (2024).
Link to project repository/sources
https://github.com/HALFpipe/wonkyconn
Goals for Brainhack Montreal
- Clean up documentation
- Improve figures and reports
- Code quality
Skills
- Python: advanced
- BIDS: basic
- fMRI and connectome
Tech stack
- Python
- Docker
- GitHub Actions
Onboarding documentation / Expectations
No response
What will participants learn?
No response
Data to use
No response
Credit to collaborators
No response
Image
No response
Type
pipeline_development
Project Maturity Status
2 - releases existing
Topic
connectome
Tools
BIDS, fMRIPrep
Programming language
containerization, documentation, Python
Modalities
fMRI
Git skills
3_continuous_integration
Anything else?
No response
Things to do after the project is submitted and ready to review.
- Short summary of your project pitch to present during the hackathon.