Benchmark denoising strategies on fMRIPrep processed outputs
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
Make a jupyterbook based on one set of outputs
fMRI connectome processing, nilearn, and jupyter book.
Contribution will be highlighted with contributor bot.
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BIDS, fMRIPrep, Jupyter
Hi @brainhackorg/project-monitors my project is ready!