Fundamental Research on Method of Evaluating Brain Function for Finding Risk Factors

我们研究了先进的评估脑功能的统计方法，以利用EEG发现导致功能障碍和疾病的危险因素。我们的分析主要集中在光刺激和音频刺激下的非线性脑电反应。本课题的研究成果总结如下：(1)建立了光刺激下的非线性响应模型；(2)提出了一种新的非线性调频模型；(3)得到了广义生灭主方程的精确解；(4)从光刺激脑电数据中发现了人体头皮非线性响应的异质性；(5)提出了一种紧凑的流分离非线性模型。

We have studied advanced statistical methods of evaluating brain function for finding risk factors leading malfunctions and diseases with the use of EEG. Our analyses are mainly focused on the nonlinear EEG responses under photo- stimulation and audio- stimulation. The results of our project are summarized as follows : (1) A model of nonlinear responses under the photo- stimulation is constructed ; (2) A new nonlinear model of frequency modulation is proposed with the method for parameter estimation ; (3) The exact solution of a generalized birth-death master equation is obtained ; (4) The heterogeneity of nonlinear response on human scalp is found from photo- stimulated EEG data ; (5) A compact nonlinear model of stream-segregation is proposed.