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Benchmark denoising strategies on fMRIPrep processed outputs #176

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htwangtw opened this issue Dec 6, 2021 · 2 comments
Open
1 of 2 tasks

Benchmark denoising strategies on fMRIPrep processed outputs #176

htwangtw opened this issue Dec 6, 2021 · 2 comments

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@htwangtw
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htwangtw commented Dec 6, 2021

Title

Benchmark denoising strategies on fMRIPrep processed outputs

Leaders

Hao-Ting Wang

Collaborators

Pierre Bellec

Brainhack Global 2021 Event

Brainhack Montreal

Project Description

The project is a continuation of load_confounds. The aim is to evaluate the impact of denoising strategy on functional connectivity data, using output processed by fMRIPrep LTS.

The work-in-progress repository is here: https://github.com/SIMEXP/fmriprep-denoise-benchmark

Link to project repository/sources

https://github.com/SIMEXP/fmriprep-denoise-benchmark

Goals for Brainhack Global

Make a jupyterbook based on one set of outputs

Good first issues

  1. Check if the preprocessing parameters are sensible: Use denoising strategies defined in nilearn SIMEXP/fmriprep-denoise-benchmark#10
  2. Select atlases and possibly save with consistent naming convention: Atlas for the analysis SIMEXP/fmriprep-denoise-benchmark#2

Communication channels

https://mattermost.brainhack.org/brainhack/channels/fmriprep_denoising

Skills

  • Python
  • Jupyter book
  • fMRI preprocessing

Onboarding documentation

No response

What will participants learn?

fMRI connectome processing, nilearn, and jupyter book.

Data to use

No response

Number of collaborators

4

Credit to collaborators

Contribution will be highlighted with contributor bot.

Image

Leave this text if you don't have an image yet.

Type

coding_methods, pipeline_development

Development status

1_basic structure

Topic

connectome, data_visualisation

Tools

BIDS, fMRIPrep, Jupyter

Programming language

Python

Modalities

fMRI

Git skills

2_branches_PRs

Anything else?

No response

Things to do after the project is submitted and ready to review.

  • Add a comment below the main post of your issue saying: Hi @brainhackorg/project-monitors my project is ready!
  • Twitter-sized summary of your project pitch.
@htwangtw
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htwangtw commented Dec 6, 2021

Hi @brainhackorg/project-monitors my project is ready!

@complexbrains
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Collaborator

Thank you for the submission dear @htwangtw. I will publish it with the template image but if you would like to add an image for the project please put it anywhere in the issue whenever you want.

Have a happy hacking! 🎉

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