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Abstract #2355

Disrupted brain connectivity networks in Alzheimer's Disease

Xiaoqing Ji1, Haiyang Geng2,3, Rui Li1, Le He1, and Chun Yuan1,4

1Center for Biomedical Imaging Research, Tsinghua University, Beijing, People's Republic of China, 2Institute of Affective and Social Neuroscience, Shenzhen University, Shenzhen, People's Republic of China, 3Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands, 4Department of Radiology, University of Washington, Seattle, WA, United States

In this study, we used graph theory-based approaches to explore the topological organization of whole brain network in Alzheimer’s Disease. We performed resting state fMRI on 6 AD patients and 19 normal controls. Topological properties such as small-world, efficiency and nodal centrality were calculated and nonparametric permutation tests were further used for group comparisons. The results showed that high-level cognitive regions including parietal cortex, vmPFC, precuneus and emotional regions including caudate and thalamus were changed in the topological metrics, this may be a biomarker for AD classification.

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