The Transitions Between Dynamic Micro-States Reveal Age-Related Functional Network Reorganization
作者： Yuanyuan Chen , Ya-nan Liu , Peng Zhou , Xiong Zhang , Qiong Wu
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摘要: Normal dynamic change in human brain occurs with age increasing, yet much remains unknown regarding how develops, matures, and ages. Functional connectivity analysis of the resting-state is a powerful method for revealing intrinsic features functional networks, micro-states, which are patterns network courses, suggested to be more informative changes. The aim this study explore age-related changes these micro-states network. Three healthy groups were included: young (ages 21-32 years), adult (age 41-54 old 60-86 years). Sliding window correlation was used construct then individually identified clustering analysis. distribution variations several networks each micro-state analyzed then. showed substantial transitions between states but not dwelling time. Also there no reorganization observed within any micro-state. But reorganizations transition them. These results that represented certain underlying system, similar cognitive or resources. In addition, probable mechanisms compensation increasing.
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