• Mallar

A Non-Invasive Method to Detect Alzheimer’s Disease

Updated: Jun 12, 2019

Research from our group has shown a link between MRI-based hippocampal volume estimates and biomarkers found in patients years before cognitive decline. Specifically, a recent paper from our group, Tardif et al. (2017) suggest that hippocampal subfield volume and extra-hippocampal white matter microstructure demonstrate a complex pattern where an initial volume increase is followed by decline among asymptomatic individuals who, in some instances, may be a decade or more away from onset of cognitive or functional impairment associated with Alzherimer’s disease.


To learn more about how to identify individuals at risk for Alzheimer’s Disease, check out the video below for Dr. Mallar Chakravarty’s interview with Mutsumi Takahashi on CTV Montreal News.



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We are pleased to announce that our work is being highlighted on the FRQS website. Nikhil Bhagwat’s impressive work in machine learning and Alzheimer’s disease is currently being featured on their Imp