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A multimodal neuroimaging database under complex naturalistic stimuli
The goal of this partnership is to develop tools for multi-modal neuroimaging acquisition and analysis. Specifically, we propose to develop a magnetic resonance imaging (MRI) coil array to allow for sensitive functional MRI (fMRI) detection and minimal interferences to concurrently recorded electroencephalography (EEG). This setup will be used to record brain responses to complex and naturalistic stimuli, such as movie clips and musical pieces. Cutting-edge machine learning algorithms will be developed to extract features and to identify how behaviours, brain activity, and the exogenous inputs correlate to each other. This project is expected to positively impact Canada scientifically, clinically, and commercially by promoting the neuroimaging research, facilitating translational psychiatric as well as neurological research, and leading to spin-off companies in medical device and informatics, respectively.
Faculty Supervisor:
Fa-Hsuan Lin
Student:
Partner:
Quanta Medical Technology Foundation;National Yang Ming Chiao Tung University;Sunnybrook Health Sciences Centre
Discipline:
Engineering
Sector:
Health and Related Sciences & Technology
University:
University of Toronto
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.