Abstract #2355

Disrupted brain connectivity networks in Alzheimer's Disease

Xiaoqing Ji¹, Haiyang Geng^2,3, Rui Li¹, Le He¹, and Chun Yuan^1,4

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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