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Better detection of neurodegenerative disease using a combination of cognitive and neurobehavioural markers


Zahinoor Ismail : MD, Professor of Psychiatry, Neurology, Epidemiology, and Pathology, Hotchkiss Brain Institute & O’Brien Institute for Public Health, University of Calgary



Early detection of neurodegenerative disease is inefficient and expensive, often requiring molecular imaging, lumbar puncture, or detailed neuropsychological testing. Better approaches are required to identify risk. Neuropsychiatric symptoms can emerge early in the disease course and can help with early detection. In normal cognition, subjective cognitive decline, or MCI, leveraging the criteria for mild behavioral impairment can help identify a high-risk group, with a greater likelihood of being biomarker positive. We will review the data and provide a state-of-the-art update on this approach.

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