Alzheimer’s disease, the most common form of dementia, causes life-altering problems with memory, thinking and behaviour. Dr. Maged Goubran, Canada Research Chair in Artificial Intelligence and Computational Neuroscience, is developing new computational and artificial intelligence tools to model brain pathology and to probe, predict and understand circuit alterations in neurodegenerative disorders like Alzheimer’s.
He and his research team are mapping circuit dysfunction in Alzheimer’s disease, tracking the disease’s progression through multimodal neuroimage analysis, and predicting patient trajectories and cognitive decline in the absence of symptoms. Their unique approach will transform our understanding of the pathophysiologic mechanisms of circuit disorders and spur the development of models for conducting personalized assessments and predicting outcomes. Their findings have the potential to improve outcomes and therapy for patients suffering from neurodegenerative diseases.