MNE-BIDS

MNE-BIDS organizes electrophysiological data into the Brain Imaging Data Structure (BIDS) to standardize file naming, folder hierarchy, and metadata for sharing and automated analysis.

Key Features:

• Standardized Organization: MNE-BIDS converts and arranges electrophysiological datasets according to BIDS-prescribed file naming conventions and folder structures.
• Metadata Management: It creates and stores associated metadata using JSON and TSV templates to document experimental and recording parameters.
• Facilitation of Data Sharing: Producing BIDS-compliant datasets enables interoperability and dataset exchange across research groups.
• Enabling Automated Analysis Pipelines: The structured BIDS organization permits development and execution of automated and reproducible analysis pipelines across datasets.

Scientific Applications:

• Neuroimaging data curation: MNE-BIDS supports curation, aggregation, and annotation of electrophysiological neuroimaging datasets for database construction.
• Reproducible research and meta-analysis: Standardized formatting facilitates reproducibility, multi-study aggregation, and meta-analyses.
• Large-scale collaboration: BIDS compliance enables cross-site dataset sharing and collaborative analyses.

Methodology:

Applies BIDS specifications for file naming and folder hierarchy and uses JSON and TSV metadata templates to format and store electrophysiological datasets.