Wonkyconn - quality metrics and insights into your fMRI connectomes!

[htwangtw]

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.