Structural Equation Modeling approach to understanding the contributions of physical activity, metabolic risk and genetic risk to peripheral inflammation and brain aging

Friday, September 15, 2017, 11:00 am - 12:00 pm PDTiCal
room 1016 (room is located on east side of the 10th floor)
This event is open to the public.
AI Seminar
Fabian Corlier


Our recent work was conducted on the Cardiovascular Health Study cohort and assessed how multiple AD risk factors such as genetic risk, metabolic risk (insulin resistance, obesity, blood lipid composition) and other environmental and demographic factors (physical activity, educational attainment, age, sex) interacted with each other and with blood levels of C-reactive protein, a marker of systemic inflammation, to predict cortical thickness in AD vulnerable regions a decade later. We used Structural Equation Modeling (SEM) to construct, test, and refine a general theoretical model of all the relevant relationships in our sample data.

Short Bio

Fabian is a post-doctoral researcher at the IGC, part of the Stevens Neuroimaging and Informatics Insititute, at USC. He is primarily a neurobiologist. Before joining the IGC, he worked at the Pitie-Salpetriere hospital in Paris, his PhD dissertation was the integration of work with neuroimaging and work in cellular biology on systemic cellular modifications occurring in the context of Alzheimer’s disease (AD), with the goal of getting a global picture in the description of these patients by combining several levels of observation. Fabian’s current research focus is to gain a global understanding of the context in which AD appears and progresses, and how its trajectory is affected by a variety of factors including behavior, genetic and environmental factors, and their interactions.

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