MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.

Area of Science:

• Neuroimaging
• Data Science
• Computational Neuroscience

Background:

• The Brain Imaging Data Structure (BIDS) standardizes neuroimaging data organization, primarily for Magnetic Resonance Imaging (MRI).
• Magnetoencephalography (MEG) data present unique characteristics and acquisition parameters distinct from MRI, lacking a standardized data format.
• Existing data organization methods for MEG are insufficient for large-scale, multimodal neuroimaging research.

Purpose of the Study:

• To propose and introduce MEG-BIDS, an extension of the BIDS standard tailored for magnetoencephalography (MEG) data.
• To establish a principled data structure and metadata convention for organizing, processing, and sharing MEG data.
• To foster data harmonization and facilitate multimodal neuroimaging research by integrating MEG into the BIDS ecosystem.

Main Methods:

• Extension of the existing Brain Imaging Data Structure (BIDS) framework.
• Development of specific conventions and metadata requirements for magnetoencephalography (MEG) data acquisition and processing.
• Demonstration of compatibility and adoption by existing data-analytics software and open data resources.

Main Results:

• MEG-BIDS provides a standardized format for organizing multidimensional MEG data volumes.
• The standard includes well-defined metadata crucial for data harmonization and sharing.
• Several data-analytics software packages have adopted MEG-BIDS, and open data resources are now available.

Conclusions:

• MEG-BIDS addresses the unmet need for a standardized data format in MEG research.
• This extension enables efficient data organization, processing, and sharing, promoting collaborative research.
• MEG-BIDS paves the way for integrating electrophysiology techniques into a unified multimodal neuroimaging data structure.