bids

You can convert raw DICOM files into BIDS format using heudiconv or dcm2bids to automatically structure raw imaging data into BIDS-compliant hierarchies. This ensures your neuroimaging datasets are standardized for reproducibility and interoperability.

Validating neuroimaging data against the BIDS specification involves running automated compliance checks using bids-validator-deno. This identifies compliance issues in MRI, EEG, or behavioral data before submission to repositories like OpenNeuro or DANDI.

Yes, you can use PyBIDS to query multi-modal BIDS datasets by subject, session, task, or modality. It indexes and filters large-scale datasets efficiently, streamlining subsequent analysis of your neuroimaging and electrophysiology data.

Yes, BIDS compliance validation supports electrophysiology and behavioral data alongside neuroimaging. The process checks EEG, MEG, and behavioral data to ensure the entire dataset meets the BIDS specification for interoperability and reproducibility.

You can organize raw MRI and EEG data into a BIDS-compliant hierarchy using automated dataset organization tools that structure multi-modal data according to the Brain Imaging Data Structure specification. This standardizes research data for querying and repository submission.