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【医学部学术讲座】——Dynamic functional connectivity analysis and its applications in brain disorders 精神疾病中的动态脑连接分析

文章来源: 作者: 发布时间:2018年06月27日 点击数: 字体:

主讲嘉宾: Zening Fu

Postdoctoral Fellow

The Mind Research Network, US

 

时间:     2018年06月28日上午 10:30 – 11:30

地点:     深圳大学西丽校区A2-517

主持人:   张治国 教授

 

报告内容简介:

The human brain is a highly dynamic system with time-varying neural activity and rapidly changing neural integration. Research using high-temporal-resolution imaging techniques has identified reoccurring microstates, which are related to spontaneous thoughts and mental processes. However, previous functional magnetic resonance image studies have typically focused on the static connectivity and overlooked potential valuable dynamic patterns in brain connectivity. Brain connectivity is indeed highly dynamic, and abnormalities in dynamic brain connectivity have also been identified in numerous disorders. The Mind Research Network (MRN) developed a dynamic functional connectivity analysis framework that incorporates different methods including clustering and decomposition (spatial and temporal ICA) to extract connectivity states from sliding-window-based dynamic patterns. This framework comprises two analysis strategies: hard clustering state analysis (HCS) and fuzzy meta-state analysis (FMS). During the past few years, an increasing number of studies have applied these two methods to different fMRI datasets and have identified significant and interesting dynamic patterns in brain connectivity, which provides greater insight into fundamental properties of the functional brain network.

 

报告嘉宾简介:

Dr Zening Fu received his Ph.D degree in the Department of Electrical and Electronic Engineering from the University of Hong Kong in 2016. He is now a Research Scientist under Prof Vince Calhoun (former Chair of Organization of Human Brain Mapping) at the Mind Research Network, New Mexico, US. His research interest is to develop novel algorithms for tracking dynamic brain connectivity from fMRI and exploring the underlying physiological meaning of brain dynamics. He has published several first-authored papers in NeuroImage, IEEE Transactions on Biomedical Circuits and Systems, Frontiers in Neuroscience. His recent publications are mainly focusing on the atypical dynamic functional connectivity patterns in schizophrenia and autism.

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