Time Series Analysis of Physical/Mental process in Human Brain

该项目的目标是对人脑的精神和身体活动之间的关系进行客观/统计/时间序列分析。主要结果是相对于EEG数据。分析癫痫患者内侧和基底颞叶皮层的皮层电图，发现存在频率约为15 Hz（10 ~ 20 Hz）的规则β-1振荡。W.R.T.MEG数据：在知觉水平上，电偶极子的估计位置与有创电生理方法的估计位置吻合。在认知水平上，P300 m时间范围内，海马区有明显的活动。在一个内隐运动成像任务中，MEG揭示了大脑皮层活动的时间过程，这在PET研究中是不可能的。W.R.T.模型：建立了一个描述大脑时间序列数据的非线性模型--交互频带模型;并编制了基于信息准则方差估计的“模型置信集”生成程序，为进一步研究“模型置信集”提供了良好的基础大脑的物理/生理/心理过程的未来研究。

This project started aiming at objective/statistical/time-series analysis of relation between mental and physical activity of human brain. Main results are with respect to EEG data. Analysis of th4e ECoG recorded form the medial and basal temporal cortices of human epileptic subjects revealed the presence of regular beta-1 oscillations of approximately 15 Hz (ranging from 10 to 20Hz).W.R.T.MEG data : At perception level, the estimated locations of electric dipoles demonstrated good coincidence with those determined by invasive electrophysiological methods. At cognition level, significant activities in the dippocampus were found in the P300m time range. In an implicit motor imaging task, MEG revealed time course of ortical activities, something which had not benn possible in PET studies.W.R.T.modelling : A nonlinear model, Interactive frequency Band Model, for the description of brain time-series data was developed ; and a program to produce 'Confidence Set of model' based on the estimate of variance of Infromation Criteria was developed.Those results make a good foundation of future study of the Physical/Physiiological/Mental Process of the Brain.