There is increasing evidence that neural systems vulnerable to age are also vulnerable to Alzheimer’s disease. Thus, brain age, which does not necessarily match one’s calendar age, could be a particularly relevant biomarker in the context of Alzheimer’s disease. Using network characteristics of the brain to model “normal” aging trajectories, I and my colleagues at the Villeneuve Lab at McGill University were able to identify factors which influence deviations from those trajectories, and determine individuals who may be at risk for developing Alzheimer’s disease.

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Gonneaud, Julie, Alexis T. Baria, Alexa Pichet Binette, Brian A. Gordon, Jasmeer P. Chhatwal, Carlos Cruchaga, Mathias Jucker et al. "Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease." Nature communications 12, no. 1 (2021): 1-17.