DynamicDysfunctionof DMN in AD and MCI:a Time Point-Based Network Analysis
Tianyi Qian1, Peipeng Liang2, and Kuncheng Li2
1MR Collaborations NE Asia, Siemens Healthcare, Beijing, China, People's Republic of, 2Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China, People's Republic of
recent years, the study of dynamic changes within brain functional networkshas become
a trend topic in the fields of neuroscience and neuroradiology. In this study,
we proposed a time-pointbased analysis method to search for dynamic pattern changes
in normal controls, AD and two MCI stages.We aim to investigate whether the DMN
deficit we observed in previous studiesis related to changes of activity
frequency of micro-state network condition.The results show that the dynamic
patterns obtained by the time point-based analysis could detect several DMN micro-states
and the frequency of the appearance of these micro-states changes during the
progress of cognitive impairment.
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