Functional connectomes denoised with various strategies
<p>Dataset denoised with the following strategies:</p> <p>https://github.com/SIMEXP/fmriprep-denoise-benchmark/code/benchmark_strategies.json</p> <p>Atlas used:</p> <p>Schaefer 7 network 400 ROIs<br> <br> Preprocessing:</p> <p>fMRIPrep LTS 20.2.1</p> <pre><code class="language-bash">singularity run --cleanenv \ -B $SLURM_TMPDIR:/DATA \ -B /PATH/TO/templateflow:/templateflow \ -B /etc/pki:/etc/pki/ \ -B /PATH/TO/OUTPUT:/OUTPUT \ /PATH/TO/fmriprep-20.2.1lts.sif \ -w /DATA/fmriprep_work \ --participant-label pixar001 \ --bids-filter-file /OUTPUT/bids_filters.json \ --cifti-output 91k \ --use-aroma \ --output-spaces MNI152NLin2009cAsym MNI152NLin6Asym fsaverage5 \ --output-layout bids \ --notrack \ --skip_bids_validation \ --write-graph \ --omp-nthreads 8 \ --nprocs 16 \ --mem_mb 65536 \ --resource-monitor \ /DATA/ds000288 /DATA/ds000288/derivatives/fmriprep participant </code></pre> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0