bids-neuroimaging

To convert raw EEG and fMRI data into a BIDS-compliant directory structure, use mne-bids to transform MNE objects into BIDS 1.8 format, automatically generating required root files like dataset_description.json and participants.tsv.

Yes, you can generate events.tsv files from experimental annotations by converting MNE objects using mne-bids, which automatically creates events.tsv and JSON sidecars including channels.tsv for your neuroimaging dataset.

Pybids queries neuroimaging datasets by indexing the validated BIDS directory with BIDSLayout, allowing you to filter and discover specific files by BIDS entities such as subject, session, task, run, and modality.

The best way to validate neuroimaging data against the BIDS 1.8 standard is using the Node-based bids-validator tool, which checks your dataset for standards compliance, naming conventions, and interoperability before downstream analysis.

Yes, you need datalad to manage OpenNeuro downloads and BIDS derivatives organization, providing shareable research workflows that include setting up a derivatives dataset_description.json for your analyzed neuroimaging data.

Yes, you can use this approach for multi-subject and multi-session neuroimaging studies, as it applies consistent BIDS naming conventions and generates required metadata files across all subjects and sessions for reliable data sharing.