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Research Summary
(inferred from publications by AI)This researcher investigates the relationship between brain connectivity patterns and mental health conditions using computational modeling approaches. Their work integrates fMRI, DTI (diffusion tensor imaging), and graph theory to study how structural and functional brain networks evolve in schizophrenia, depression, and healthy individuals. Through longitudinal neuroimaging data coupled with theoretical models, they aim to uncover the neural mechanisms underlying these disorders and develop comprehensive computational frameworks for predictive analytics.
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About This Profile
This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.