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Abstract #4519

Instability and hyper-connected pattern of dynamic functional network in MCI converters

Zhihan Chen1,2, Keliang Chen2, Yuxin Li1,2, Qianhua Zhao1,2, and Liqin Yang1,2
1Fudan University, Shanghai, China, 2Huashan Hospital, Shanghai, China


In this study, based on rs-fMRI, we analyzed the dynamic characteristics of 3 groups: MCI convert to AD within one-year follow-up (1Y_AD), stable in MCI within one-year follow-up (1Y_MCI) and revision from MCI within one-year follow-up (1Y_HC), including nodal entropy and measurements of dynamic brain functional network. We found that with the disease progression, the brain functional network was reconfigured into a highly-integrated/segregated pattern, and dwell time of highly-integrated pattern is associated with executive function in 1Y_AD. These findings provide the evidence for developing dynamic measurements as potential biomarkers for tracking mechanism of AD.

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