boldR: fMRI BOLD Signal Analysis for Circadian and Sleep Research

boldR analyses Blood-Oxygen-Level-Dependent (BOLD) fMRI data in the context of sleep and circadian research. It picks up exactly where fMRIPrep leaves off — working directly with preprocessed BIDS derivatives — and transforms them into analysis-ready outputs: atlas-agnostic parcellation, ROI-level timeseries, functional connectivity matrices, and voxelwise quality metrics.

fmriprep gets you clean data. boldR gets you useful data.

Core workflow

fmriprep → read_fmriprep() → prepare_bold()
                                  ↓
                            load_atlas() + parcellate()
                                  ↓
                    compute_fc() / compute_roi_metrics()
                                  ↓
                            export_bold() → syncR

Ecosystem

boldR is part of the Circadia Lab R ecosystem at Northumbria University. See https://circadia-lab.uk for the full package suite.

See also

Useful links:

• https://boldr.circadia-lab.uk

• https://github.com/circadia-bio/boldR

• Report bugs at https://github.com/circadia-bio/boldR/issues

Author

Maintainer: Lucas França lucas.franca@northumbria.ac.uk (ORCID)

Authors:

• Lucas França lucas.franca@northumbria.ac.uk (ORCID)

• Mario Leocadio-Miguel mario.miguel@northumbria.ac.uk (ORCID)