苏建忠:EEG信号数据与大脑网络动力学

发布日期:2019-03-13 责任编辑:于林本条信息已被查看了 724设置

报告题目:EEGSignal Data and Brain Network Dynamics(EEG信号数据与大脑网络动力学)

报告人:JianzhongSu(苏建忠)

报告时间:2019年3月15日(周五)下午13:30-15:00

报告地点:信息学院306

报告人简介:

Jianzhong Su(苏建忠),美国德州大学阿灵顿分校数学系主任,教授,1984年毕业于上海交通大学,获学士学位;1984-1990年在美国University of Minnesota获得博士学位,主要研究领域包括医疗大数据的建模与分析,曾多次获得美国NSF和NIH等基金的资助。

内容简介:Full brain EEG and its source localization is a brain imagingmodality based on multi-channel Electroencephalography (EEG) signals. Itmeasures the brain field potential fluctuations on the entire scalp for aperiod of time, and then we mathematically calculate the electric currentdensity inside the brain by solving an inverse Poisson problem at each time.The time trajectories of EEG signal on the scalp and inside the brain revealbrain dynamics at rest or during brain cognitions. In this talk, we introducemathematical methods for the EEG source reconstruction problems and discuss itsmethodology and applications. One application is in identifying abnormality inbrain activities during seizures of an infant patient with Glucose TransporterDeficiency Syndrome. Another application is to find the neuronal signatures inresponse to pain stimulations. Further work shows these data can be furtherused to study the brain network properties that glean into the inner working ofbrain functions.

欢迎各位老师和同学参加!

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