An EEG platform for national and international EEG-based neuroscience (EEGNet)
Principal Investigator:
- Alan Evans, Montreal Neurological Institute and Hospital, McGill University
Team Members:
- Mayada Elsabbagh, McGill University
- Yves De Koninck, Université Laval
- Philippe Albouy, Université Laval
- Shirley Fecteau, Université Laval
- Isabelle Blanchette, Université Laval
- Célyne Bastien, Université Laval
- Christophe Grova, Concordia University
- Anne Gallagher, Université de Montréal
- Sarah Lippe, Sainte-Justine University Hospital Research Centre
- Sid Segalowitz, Brock University
- Adrian Owen, University of Western Ontario
- Ingrid Johnsrude, University of Western Ontario
- Stefanie Blain-Moraes, McGill University
- Faranak Farzan, Centre for Addiction and Mental Health
- Jorge Bosch Bayard, McGill University
- Signe Bray, University of Calgary
- Ashley Harris, University of Calgary
- Sean Hill, University of Toronto
- Jean Gotman, McGill University
- Birgit Frauscher, McGill University
- Stefon Van Noordt, McGill University
- Erin Panda, Brock University
- Ayda Tekok-Kilic, Brock University
- Christine Lackner, Mount St. Vincent University
- Karen Campbell, Brock University
- Teena Willoughby, Brock University
- Brock University
- Université Laval
- McGill University
Project Overview
EEG is a non-invasive, inexpensive, and efficient tool for measuring electrical signals in the brain. The EEGNet platform will provide a standardized, open repository of EEG data for the investigation of biomarkers of brain disorders that manifest themselves during the early years of life, disorders such as autism.
EEGNet will bring together EEG scientists from across Canada and internationally. They will work to improve our ability to combine EEG data from different laboratories by harmonizing the data formats and analytic tools we all use. We will make use of an existing Brain Canada funded platform, the Canadian Open Neuroscience Platform (CONP), to share EEG data across the country. CONP provides broad generic support for neuroscience data-sharing but EEGNet will focus specifically upon EEG data at a much deeper level in terms of improved data analysis tools and studies of patient cohorts with EEG. These tools will be enhanced to allow earlier detection of early EEG abnormalities in (i) infant or child-onset developmental disorders, (ii) psychiatric or behavioural disorders (depression, risk-taking behaviour), (iii) neurodegenerative diseases, as well as the study of states of consciousness (sleep, wakefulness, coma, anaesthesia).
Many EEGNet researchers also form part of the Global Brain Consortium (GBC) as well as CONP. GBC is focussed on EEG-mediated international neuroscience collaboration. It includes partners from China, the US, Canada, Europe, Australia and Latin America. A primary GBC focus is population screening in Low-and Middle Income Countries. As part of GBC, we seek to place Canada at the centre of an international network using EEG to investigate brain health disorders emerging in early childhood or adolescence in under-served populations around the world.