報告題目：
EEG Signal Data and Brain Network Dynamics
EEG信号數據與大腦網絡動力學
報告人：Jianzhong Su（蘇建忠）
報告時間：2019年3月15日（周五）下午13:30-15:00
報告地點：伟德BETVLCTOR306
報告人簡介：Jianzhong Su（蘇建忠），美國德州大學阿靈頓分校數學系主任，教授，1984年畢業于上海交通大學，獲學士學位；1984-1990年在美國 University of Minnesota獲得博士學位，主要研究領域包括醫療大數據的建模與分析，曾多次獲得美國NSF和NIH等基金的資助。
内容簡介：Full brain EEG and its source localization is a brain imaging modality based on multi-channel Electroencephalography (EEG) signals. It measures the brain field potential fluctuations on the entire scalp for a period of time, and then we mathematically calculate the electric current density 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 reveal brain dynamics at rest or during brain cognitions. In this talk, we introduce mathematical methods for the EEG source reconstruction problems and discuss its methodology and applications. One application is in identifying abnormality in brain activities during seizures of an infant patient with Glucose Transporter Deficiency Syndrome. Another application is to find the neuronal signatures in response to pain stimulations. Further work shows these data can be further used to study the brain network properties that glean into the inner working of brain functions.
歡迎各位老師和同學參加！