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Abstract #3153

Dynamic functional network connectivity and its association with lipid metabolism in Alzheimer’s disease

Feifei Zang1, Xinyi Liu1, Dandan Fan1, Cancan He1, Zhijun Zhang2, and Chunming Xie2
1Southeast University, Nanjing, China, 2Southeast University Affiliated ZhongDa Hospital, Nanjing, China


Brain networks of Alzheimer’s disease (AD) represent the fluctuating functional connectivity with time. Using the sliding-window method, this study identified two different functional connectivity states at the large-scale network level in AD spectrum. The AD patients took more time in the tense-connected state II than the non-AD populations. Moreover, lipid metabolism-related factors affected the dynamic network connectivity across the AD spectrum populations. These results provide insights into the neural biological underpinnings of the dynamic networks reorganization for AD pathophysiology.

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