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Abstract #4162

Dynamic emotional memory network in aging brain

Kai Ai 1 , Gang Yu 1 , Pan Lin 2 , and YanHua Gao 3

1 School of Geosciences and Info-Physics, Central South University, Changsha, China, 2 Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China, 3 Department of B Ultrasound, Shaanxi Provincial People's hospital, Xi'an, China

Emotional memory is an important brain cognitive function and shows a positive affective bias in healthy aging. However, previous studies considered the extracted time series as stationary processes. Recently, studies show that dynamic coupling or functional connectivity (FC) patterns between brain regions are distinct from underlying anatomical links. Emerging evidence suggests that dynamic FC may index changes in brain function or clinical biomarker. Understanding of dynamic emotion networks is important to characterize aging brain development and the related brain disorder. This study investigates the time-frequency features of dynamic emotional memory network FC in aging brain by using wavelet transform coherence.

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