Frontiers in Neuroinformatics (Nov 2018)
The CAMH Neuroinformatics Platform: A Hospital-Focused Brain-CODE Implementation
- David J. Rotenberg,
- Qing Chang,
- Natalia Potapova,
- Andy Wang,
- Marcia Hon,
- Marcos Sanches,
- Marcos Sanches,
- Nikola Bogetic,
- Nathan Frias,
- Tommy Liu,
- Brendan Behan,
- Rachad El-Badrawi,
- Stephen C. Strother,
- Stephen C. Strother,
- Susan G. Evans,
- Jordan Mikkelsen,
- Tom Gee,
- Tom Gee,
- Fan Dong,
- Fan Dong,
- Stephen R. Arnott,
- Stephen R. Arnott,
- Shuai Laing,
- Shuai Laing,
- Moyez Dharsee,
- Anthony L. Vaccarino,
- Anthony L. Vaccarino,
- Mojib Javadi,
- Kenneth R. Evans,
- Damian Jankowicz
Affiliations
- David J. Rotenberg
- Krembil Center for Neuroinformatics, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Qing Chang
- Krembil Center for Neuroinformatics, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Natalia Potapova
- Krembil Center for Neuroinformatics, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Andy Wang
- Krembil Center for Neuroinformatics, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Marcia Hon
- Krembil Center for Neuroinformatics, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Marcos Sanches
- Krembil Center for Neuroinformatics, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Marcos Sanches
- Dalla Lana School of Public Health, Toronto, ON, Canada
- Nikola Bogetic
- Krembil Center for Neuroinformatics, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Nathan Frias
- Business Intelligence, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Tommy Liu
- Business Intelligence, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Brendan Behan
- Ontario Brain Institute, Toronto, ON, Canada
- Rachad El-Badrawi
- Indoc Research, Toronto, ON, Canada
- Stephen C. Strother
- Rotman Research Institute, Toronto, ON, Canada
- Stephen C. Strother
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Susan G. Evans
- Indoc Research, Toronto, ON, Canada
- Jordan Mikkelsen
- Indoc Research, Toronto, ON, Canada
- Tom Gee
- Indoc Research, Toronto, ON, Canada
- Tom Gee
- Rotman Research Institute, Toronto, ON, Canada
- Fan Dong
- Indoc Research, Toronto, ON, Canada
- Fan Dong
- Rotman Research Institute, Toronto, ON, Canada
- Stephen R. Arnott
- Indoc Research, Toronto, ON, Canada
- Stephen R. Arnott
- Rotman Research Institute, Toronto, ON, Canada
- Shuai Laing
- Indoc Research, Toronto, ON, Canada
- Shuai Laing
- Rotman Research Institute, Toronto, ON, Canada
- Moyez Dharsee
- Indoc Research, Toronto, ON, Canada
- Anthony L. Vaccarino
- Ontario Brain Institute, Toronto, ON, Canada
- Anthony L. Vaccarino
- Indoc Research, Toronto, ON, Canada
- Mojib Javadi
- Indoc Research, Toronto, ON, Canada
- Kenneth R. Evans
- Indoc Research, Toronto, ON, Canada
- Damian Jankowicz
- Krembil Center for Neuroinformatics, Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- DOI
- https://doi.org/10.3389/fninf.2018.00077
- Journal volume & issue
-
Vol. 12
Abstract
Investigations of mental illness have been enriched by the advent and maturation of neuroimaging technologies and the rapid pace and increased affordability of molecular sequencing techniques, however, the increased volume, variety and velocity of research data, presents a considerable technical and analytic challenge to curate, federate and interpret. Aggregation of high-dimensional datasets across brain disorders can increase sample sizes and may help identify underlying causes of brain dysfunction, however, additional barriers exist for effective data harmonization and integration for their combined use in research. To help realize the potential of multi-modal data integration for the study of mental illness, the Centre for Addiction and Mental Health (CAMH) constructed a centralized data capture, visualization and analytics environment—the CAMH Neuroinformatics Platform—based on the Ontario Brain Institute (OBI) Brain-CODE architecture, towards the curation of a standardized, consolidated psychiatric hospital-wide research dataset, directly coupled to high performance computing resources.
Keywords
