Hermes D, Pal Attia T, Beniczky S, Bosch-Bayard J, Delorme A, Lundstrom BN, Rogers C, Rampp S, Shirazi SY, Truong D, Valdes-Sosa P, Worrell G, Makeig S, Robbins K (2025)
Publication Type: Journal article
Publication year: 2025
Book Volume: 12
Article Number: 1448
Journal Issue: 1
DOI: 10.1038/s41597-025-05791-2
Standardizing terminology to annotate electrophysiological events can improve both computational research and clinical care. Enriching data with standard terms facilitates data exploration, from case studies to mega-analyses. The machine readability of such electrophysiological event annotations is essential for performing automated analyses. The Hierarchical Event Descriptor (HED) framework provides a standard for describing events in neuroscience experiments but does not yet include terms for electrophysiological data features. The Standardized Computer-based Organized Reporting of EEG (SCORE) defines terms for EEG features but is not yet openly available in machine-readable format. This study therefore developed a HED library schema for SCORE: the HED-SCORE library schema. This library schema makes the SCORE terms machine-readable and searchable and extents the standard HED schema with a controlled hierarchical vocabulary to annotate electrophysiological events. We demonstrate that the HED-SCORE library schema can be used to annotate events in EEG data stored in the Brain Imaging Data Structure (BIDS). Clinicians and researchers worldwide can use the HED-SCORE library schema to annotate and compute on human electrophysiological data.
APA:
Hermes, D., Pal Attia, T., Beniczky, S., Bosch-Bayard, J., Delorme, A., Lundstrom, B.N.,... Robbins, K. (2025). Hierarchical Event Descriptor library schema for EEG data annotation. Scientific Data, 12(1). https://doi.org/10.1038/s41597-025-05791-2
MLA:
Hermes, Dora, et al. "Hierarchical Event Descriptor library schema for EEG data annotation." Scientific Data 12.1 (2025).
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