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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