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This project investigates existing and potentially new approaches to analyze functional brain structures in individuals with post-traumatic stress disorder (PTSD), using advanced neuroimaging such as fMRI, and machine learning. The goal is to identifying patterns built on dependent features within the images representing the connectivity matrices of brain regions. The project will investigate whether causal AI approaches such as Granger causality, as well as probabilistic graph models such as Bayesian networks can be used to analyze probabilistic dependencies between brain regions.
Svetlana Yanushkevich
National Technical University of Ukraine
Engineering
Artificial Intelligence; Health and Related Sciences and Technology; Information and Communications Technology (ICT)
University of Calgary
Globalink Research Award
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