Extensions to EEGNet open data discovery, analysis and collaborative annotation EEG-BIDS ecosystem
Poster No:
2225
Submission Type:
Abstract Submission
Authors:
Christine Rogers1, Jefferson Casimir1, Laetitia Fesselier1, Samir Das1, Jorge Bosch-Bayard2, Pedro Valdes-Sosa3, Alan Evans1
Institutions:
1McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University, Montreal, Canada, 2Universidad Autonoma de Madrid, Madrid, Spain, 3University of Electronic Science and Technology, Chengdu, China
First Author:
Christine Rogers
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
Co-Author(s):
Jefferson Casimir
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
Laetitia Fesselier
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
Samir Das
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
Alan Evans
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
McGill Centre for Integrative Neuroscience (MCIN) Montreal Neurological Institute, McGill University
Montreal, Canada
Introduction:
The global reach and accessibility of neuroelectrophysiology provides unique opportunities for collaboration and translation to applications in health and research. Fundamental to these outcomes is a common basis of data sharing, interpretation and analytics, supported by community-driven standards such as EEG-BIDS and HED tags (Pernet 2019, Robbins 2021).
EEGNet is an online open platform (eegnet.loris.ca) which launched in November 2023 designed for open collaboration in building gold-standard annotated datasets for exploitation in machine learning and early biomarker detection. Its pilot release includes 7 datasets and test datasets for research community members to log on, annotate, download, query and provide input on workflows.
EEGNet further drives data sharing and open tool deployment as well as implementation of the emerging BIDS derivative standard through community engagement and active participation in global working groups, and contributes to open EEG data preparation tools.
Through these efforts and in partnership with the Global Brain Consortium (globalbrainconsortium.org) and the Canadian Open Neuroscience Platform (CONP.ca, Harding 2022) EEGNet's combined data and analytics hub removes adoption barriers to open EEG research collaboration.
EEGNet is an online open platform (eegnet.loris.ca) which launched in November 2023 designed for open collaboration in building gold-standard annotated datasets for exploitation in machine learning and early biomarker detection. Its pilot release includes 7 datasets and test datasets for research community members to log on, annotate, download, query and provide input on workflows.
EEGNet further drives data sharing and open tool deployment as well as implementation of the emerging BIDS derivative standard through community engagement and active participation in global working groups, and contributes to open EEG data preparation tools.
Through these efforts and in partnership with the Global Brain Consortium (globalbrainconsortium.org) and the Canadian Open Neuroscience Platform (CONP.ca, Harding 2022) EEGNet's combined data and analytics hub removes adoption barriers to open EEG research collaboration.
Methods:
EEGNet's core infrastructure builds on the open-source LORIS data system and CBRAIN processing portal (Das 2012, Sherif 2014), and leverages ethics and governance groundwork by the Canadian Open Neuroscience Platform (CONP.ca, Harding 2022), supporting interoperability, scalability, and transparency in sharing and processing standardized EEG data.
Layered on this technology, EEGNet has embedded tagging with the HED and SCORE (Beniczy 2017) clinical ontologies to provide standardized annotation capacity in a unified platform.
Extensions to the code developed for EEGNet are anticipated to be deployed in initiatives including NEMAR (Delorme 2022), Born in Bradford (F.Mushtaq) and other Global Brain Consortium projects.
EEGNet has also supported additional tool development empowering researchers to convert EDF or .SET data to EEG-BIDS on any operating system with enhanced metadata checks and customization. The EEG2BIDS open-source tool (github.com/aces/eeg2bids) is undergoing final testing for re-release in late 2023 with added capacity developed by the HBCD (Human Brain Cognitive Development) consortium.
Layered on this technology, EEGNet has embedded tagging with the HED and SCORE (Beniczy 2017) clinical ontologies to provide standardized annotation capacity in a unified platform.
Extensions to the code developed for EEGNet are anticipated to be deployed in initiatives including NEMAR (Delorme 2022), Born in Bradford (F.Mushtaq) and other Global Brain Consortium projects.
EEGNet has also supported additional tool development empowering researchers to convert EDF or .SET data to EEG-BIDS on any operating system with enhanced metadata checks and customization. The EEG2BIDS open-source tool (github.com/aces/eeg2bids) is undergoing final testing for re-release in late 2023 with added capacity developed by the HBCD (Human Brain Cognitive Development) consortium.
·Figure 1: Dashboard for open data discovery on EEGNet with Analytics activity
Results:
All members of the clinical and scientific research community are welcome to log into EEGNet.loris.ca - begin by requesting an account to access, navigate, visualize, query, and download or export all data on the platform. At the pilot launch EEGNet data and analytics hub included 7 open datasets, 200+ recordings, and 4 open analytics tools on CBRAIN (portal.cbrain.mcgill.ca, Li 2022). A portal listing all EEGNet community-contributed datasets and tools is also published at EEGNETnet.org
Additional formats are expected with a growing collection of datasets. Further workflows in 2024 should include granular controls for collaborative data annotation and validation, advanced metadata querying, and enhanced visualization utilities. Spanning over 35 Canadian researchers across 10 sites, EEGNet's scientific and clinical partners will continue to provide guidance to optimize platform utility for the research, informatics and clinical EEG community.
Additional formats are expected with a growing collection of datasets. Further workflows in 2024 should include granular controls for collaborative data annotation and validation, advanced metadata querying, and enhanced visualization utilities. Spanning over 35 Canadian researchers across 10 sites, EEGNet's scientific and clinical partners will continue to provide guidance to optimize platform utility for the research, informatics and clinical EEG community.
·Figure 2: Interactive EEG annotation workflow for collaborative online open data knowledge-building
Conclusions:
Community-driven EEG-BIDS and HED frameworks are implemented by platforms driving data sharing and knowledge-building in collaborative hubs. New workflows and open tools have been added by EEGNet since mid-2023 to reduce barriers to adoption, also serving as an open data and analytics hub. This work is currently being extended by the EEGNet technical team at McGill University as well as global collaborators, to further the reach and application of these emerging standards and accelerate the scientific and clinical impact of EEG research.
Modeling and Analysis Methods:
EEG/MEG Modeling and Analysis
Neuroinformatics and Data Sharing:
Databasing and Data Sharing 1
Workflows 2
Informatics Other
Novel Imaging Acquisition Methods:
EEG
Keywords:
Data analysis
Data Organization
Electroencephaolography (EEG)
ELECTROPHYSIOLOGY
Informatics
Open Data
Open-Source Code
Open-Source Software
Workflows
Other - databasing
1|2Indicates the priority used for review
Provide references using author date format
GBC: GlobalBrainConsortium.org Manuscript in press.
Beniczy, S. et al (2017). Standardized computer-based organized reporting of EEG: SCORE - Second version. Clin Neurophys. doi: 10.1016/j.clinph.2017.07.418.
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Delorme, A. et al (2022), NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. Database. https://doi.org/10.1093/database/baac096
Harding, R. et al (2022). The Canadian Open Neuroscience Platform – An Open Science Framework for the Neuroscience Community. Preprint doi: https://osf.io/eh349/
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