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Abstract #1572

Abnormal static and dynamic functional connectivity in the triple network model of Alzheimer's disease

Qi Feng1, Luoyu Wang2, Zhongxiang Ding1, and Qingqing Wen3
1The First People's Hospital of Hangzhou, China, Hangzhou, China, 2Shanghai University of Science and Technology, China, Shanghai, China, 3MR Research, GE Healthcare, Beijing, China, Beijing, China

Synopsis

Keywords: Functional Connectivity, Alzheimer's Disease

Motivation: The changes of static FC (sFC) and dynamic FC (dFC) within the triple network models (DMN, SN, CEN) of Alzheimer's disease (AD) and amnestic mild cognitive impairment (aMCI) remained unclear.

Goal(s): To investigate the sFC and dFC changes of the triple network model in AD and aMCI groups with healthy group as control.

Approach: Differences in sFC and dFC variability patterns among the three brain networks of the three groups (53 AD, 40 aMCI patients, and 40 normal controls) were computed by ANOVA.

Results: In both AD and aMCI, sFC and dFC variability within the three brain networks were altered to varying degrees.

Impact: The alterations of sFC and dFC values within the triple network model are helpful to study the potential pathophysiology of AD and aMCI, and might be important biomarkers to improve the diagnostic efficiency of AD and aMCI.

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Keywords