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大脑对运动控制的头皮电位研究
引用本文:刘洪广,刘洁. 大脑对运动控制的头皮电位研究[J]. 西安体育学院学报, 2005, 22(1): 61-63
作者姓名:刘洪广  刘洁
作者单位:1. 中国人民公安大学,公安业务基础课教研部,北京,100038
2. 江西省第二人民医院,同位素室,南昌,330029
基金项目:中国博士后科学基金资助
摘    要:目的:研究人脑中无数神经在本体感受性传入信息和运动控制时的生理机制和振荡特征,从全脑的整体观点,论述数个大脑区域的活动和他们的复合电位的综合性神经生理功能。方法:研究在宏范围EEG测量的皮层动态脑理论与大脑刺激性质的振荡反应的基础上,用0 2ms间隔取点时程为100ms高采样率分析头皮脑电位。结果:数字量化头皮脑电位中FP2,F6,C4,F8等脑区的绝对值,相对值和运动觉与运动知觉电位在δ,θ,α,β4个频带比相对应脑区各项值低。频率和功率谱分析发现皮层的主要活动区域4个频带的波峰功率,总功率,最高波幅以及功率95%以下的频率比非主控区高。结论:神经电位从无序到有序状态的转换中,多而强的感觉刺激使大脑成为更好的协调并使脑神经电活动具有空间分布性但时间上同步性的状态。全部振荡频率在整个大脑是选择性分布的,选择性分布的振荡系统控制着全部脑结构的兴奋和交流。

关 键 词:振荡  脑电位  运动控制
文章编号:1001-747X(2005)01-0061-03

Study of Potentials of Motor-controlling Relatives
LIU Hong-guang,LIU Jie. Study of Potentials of Motor-controlling Relatives[J]. Journal of Xi'an Institute of Physical Education, 2005, 22(1): 61-63
Authors:LIU Hong-guang  LIU Jie
Affiliation:LIU Hong-guang~1,LIU Jie~2
Abstract:Objectives:The topic of this dissertation was studying the oscillatory physiological mechanisms and characteristic by which the immense number of neurons of proprioceptive afferent information and movement control in the human brain. An integrative neurophysiology should describe activity of several brain areas and their multifold potential from a global viewpoint. Method:This dissertation was reportage the research of neuronal potential signal at three administrative levels of digital quantitative EEG, frequency analysis and power spectrum analysis, evoked potential of < 0.2 ms intersample interval (ISI) duration 100 ms analysis with MATLAB program processing, based on the neocortical dynamics of macroscopic-scale EEG measurements and stimulus-specific oscillatory responses of the brain. Results:Digital quantitative EEG, some absolute, relative, monopolar mean frequency of kinesthesia and kinesthetic perception area FP2, F6, C4, F8, T6 were lower than the value of corresponding hemishere within delta, theta, alpha, beta band. Frequency and power spectrum analysis: in primary activity cortex area , peak power, total power of the frequency, highest amplitude within δ,θ,α,βbands, the specified (95) percentage of the power of the waveform is at or below the frequency value, the more activity the more higher frequency in the brain plot. Conclusions: During the transitions of EEG from disordered to order states, many and strong sensory stimuli bring into a more coherent state and the spatially distributed but temporally coherent (simultaneous) electrical activity state. All the oscillation frequency is selectively distributed with the entire brain. Sensory or cognitive inputs bring this oscillation frequency into a resonating state. Selectively distributed oscillatory systems govern the excitability and communication of all brain structures.
Keywords:potential  oscillatory  motor controlling
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