Abstract
The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measurements of the living human brain. To improve internal (re)use and external sharing of these unique data, we present a specification for storing and sharing iEEG data: iEEG-BIDS.
Highlights
The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible
To improve internaluse and external sharing of these unique data, we present a specification for storing and sharing Intracranial electroencephalography (iEEG) data: iEEG-BIDS
Within the Human Brain Project (HBP), iEEG-BIDS has been adopted in the Medical Informatics Platform as well as the Neuroinformatics Platform
Summary
As the original BIDS specification dealt primarily with data from an MRI machine, it was necessary to create standards around the units to be used for electrophysiology data. This was done in partnership with the EEG-BIDS and MEG-BIDS communities. The iEEG-BIDS specification requires that any electrode locations are paired with explicit coordinate systems and, where applicable, the path to an image that can be used to visualize the electrodes on a brain. These may be volume files (e.g., .nii.gz), cortical surfaces, or 2-D images of the patient’s brain. IEEG-BIDS explicitly allows for electrode positions to be given in 2-dimensional space in the event that anatomical data are only provided in the form of either operative photos or cortical surface photos
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