You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Short description and the goals for the OHBM BrainHack
The aim of this hackathon project is to create an ICA-AROMA post-fMRIPrep pipeline. fMRIPrep is a robust and user-friendly preprocessing tool for diverse fMRI data. ICA-AROMA, on the other hand, is a data-driven method that automatically identifies and removes motion-related independent components from fMRI data.
Prior to fMRIPrep 23.1, ICA-AROMA was an optional component of fMRIPrep, but it was removed as being out-of-scope, as it can be performed on fMRIPrep outputs.
The project focuses on creating an ICA-AROMA pipeline that accepts fMRIPrep outputs as its inputs, in particular MNI152NLin6Asym-resampled BOLD series. The pipeline will apply SUSAN smoothing, run MELODIC, and finally ICA-AROMA. The pipeline will provide options for users to select specific outputs, including noise components and non-aggressively denoised BOLD series, as well as generate reports.
To join the discussion and contribute to this project, you can find more information in the related issue at nipreps/fmriprep#2936.
Title
Post-fMRIPrep ICA-AROMA BIDS-App
Short description and the goals for the OHBM BrainHack
The aim of this hackathon project is to create an ICA-AROMA post-fMRIPrep pipeline. fMRIPrep is a robust and user-friendly preprocessing tool for diverse fMRI data. ICA-AROMA, on the other hand, is a data-driven method that automatically identifies and removes motion-related independent components from fMRI data.
Prior to fMRIPrep 23.1, ICA-AROMA was an optional component of fMRIPrep, but it was removed as being out-of-scope, as it can be performed on fMRIPrep outputs.
The project focuses on creating an ICA-AROMA pipeline that accepts fMRIPrep outputs as its inputs, in particular MNI152NLin6Asym-resampled BOLD series. The pipeline will apply SUSAN smoothing, run MELODIC, and finally ICA-AROMA. The pipeline will provide options for users to select specific outputs, including noise components and non-aggressively denoised BOLD series, as well as generate reports.
To join the discussion and contribute to this project, you can find more information in the related issue at nipreps/fmriprep#2936.
Link to the Project
https://github.com/nipreps/fmripost-aroma
Image for the OHBM brainhack website
No response
Project lead
Céline Provins, GitHub: @celprov , discord: cprovins
Main Hub
Montreal
Other Hub covered by the leaders
Skills
Having basic Python knowledge is important, however all levels of experience are welcome.
Recommended tutorials for new contributors
Good first issues
No response
Twitter summary
No response
Short name for the Discord chat channel (~15 chars)
fmriprep_aroma
Please read and follow the OHBM Code of Conduct
The text was updated successfully, but these errors were encountered: