Abstract #1519

Network evolution of patients with Alzheimer via graph theory

Mohsen Mazrooyisebdani^1,2, BARBARA B BENDLIN³, Shi-Jiang Li⁴, and Vivek Prabhakaran^1,5,6

¹Radiology Department, University of Wisconsin Madison, Madison, WI, United States, ²Electrical and computer Engineering, University of Wisconsin Madison, Madison, WI, United States, ³Department of Medicine, University of Wisconsin Madison, Madison, WI, United States, ⁴Department of Biophysics, University of Wisconsin Madison, Madison, WI, United States, ⁵Neuroscience Training program, University of Wisconsin Madison, Madison, WI, United States, ⁶Medical Scientist Training Program, University of Wisconsin Madison, Madison, WI, United States

This abstract presents an evaluation of alteration in the functional brain network of patients with Alzheimer’s disease (AD) with a focus on the application of graph theory as a pure data-driven analysis approach. The main goal in this work is to diagnose any potential biomarker of Alzheimer’s disease in the brain connectivity network of patients.

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