权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

EEG Research on Thinking Process

思维过程的脑电图研究

基本信息

批准号：
07610243
负责人：
MIZUTANI Tohru
金额：
$ 0.32万
依托单位：
Tokyo Gakugei University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1995
资助国家：
日本
起止时间：
1995 至 1996
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07610243/
关键词：
Thinking process Task execution EEG telemetry Alpha activity Power spectrum Maximum entropy method Time series analysis 脳波解析 MEMパワ・スペクトル脳波分析

项目摘要

The aim of this project is to clarify the inner process of thinking by use of EEG analysis. First, we developed an EEG telemetry system with multi-channel telemeter and related technologies for stable EEG recordings from unrestrained, task executing subjects. Then we also developed MEM (maximam entropy method) power spectrum time series analysis method, with time resolution of 1 second and with frequency resolution of 0.05Hz, which were much higher than those of conventional FFT power spectrum analysis.Thinking tasks of three types were designed for normal and handicapped children and for normal adults, which were mental arithmetic, mental counting of a given kanji-letter stroke, and mental arranging of a series of digits. Peak frequency in alpha band (PF) and summed alpha band power (PW) of MEM power spectrum were used to indicate serial EEG changes during the thinking task execution.EEG changes recorded at bilateral parietal areas were inquired in six children (10-13 years of age), and following results were obtained. (1) The time series of PF and PW showed nearly constant task-related changes (TRC's) during the execution of mental tasks. (2) TRC's in right hemishere (P4) were less distinct than those in left hemishere (P3). (3) The time courses of PF-TRC were a little different from the ones of PW.(4) The time courses of TRC's in mental arithmetic tasks were a little later than the ones in kanji-stroke tasks.TRC's of PF and PW were also observed in the majority of aduld subjects. The properties of TRC's were almost the same as in children, and in addition, it was found that TRC's reflected the property of tasks rather than the physical nature of task stimuli. From those results, it was concluded that TRC's of MEM spectrum was useful indicator for inquiery of thinking process.

该项目的目的是利用脑电图分析来阐明思维的内在过程。首先，我们开发了一种EEG遥测系统，该系统采用多通道遥测仪和相关技术，可以从不受约束的执行任务的受试者中获得稳定的EEG记录。然后，我们还开发了MEM（最大熵法）功率谱时间序列分析方法，其时间分辨率为1秒，频率分辨率为0.05Hz，大大高于传统的FFT功率谱分析方法。为正常儿童、残疾儿童和正常成人设计了三种思维任务，分别是心算、心算给定汉字笔画、心算一系列数字。用MEM功率谱α频带峰值频率（PF）和α频带总功率（PW）表征思维任务执行过程中连续的脑电变化。对6例10-13岁儿童的双侧顶叶区脑电图变化进行了研究，结果如下：(1)在心理任务执行过程中，PF和PW的时间序列呈现出近乎恒定的任务相关变化（TRC’s）。(2)右半球TRC （P4）较左半球TRC （P3）不明显。(3) PF-TRC的时间过程与PW略有不同。(4)心算任务中TRC的时间进程略晚于汉字笔画任务。在大多数成人受试者中也观察到PF和PW的TRC。TRC的性质与儿童几乎相同，此外，我们发现TRC反映的是任务的性质，而不是任务刺激的物理性质。结果表明，MEM谱的TRC是探究思维过程的有用指标。