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睡眠2期脑电信号产生的生理机制模型仿真研究
引用本文:唐志宇,蒋玉辉,施瑞红,赵似兰,张承福,贺东奇.睡眠2期脑电信号产生的生理机制模型仿真研究[J].生物物理学报,2003,19(4):409-414.
作者姓名:唐志宇  蒋玉辉  施瑞红  赵似兰  张承福  贺东奇
作者单位:1. 北京大学医学部医用理学系,北京,100083
2. 北京大学医学部生物物理系,北京,100083
3. 北京大学物理系,北京,100871
基金项目:国家自然科学基金资助项目(30070191)
摘    要:目前慢波睡眠生理机制研究已有的理论及动物实验结果显示,慢波睡眠中,皮层-丘脑系统神经元存在三种不同节律的振荡:慢振荡(<1 HZ)、δ振荡(1-4Hz)和纺锤振荡(7-14Hz)。这些神经元电活动在皮层水平广泛同步化,产生慢波睡眠脑电。提出了能分别产生这三种节律的三种神经元环路模型,并将之组合简化成一个七细胞环路模型。由这样的大量环路组成的网络模型在合适的突触连接参数范围内,能在皮层处产生人类慢波睡眠脑电2期的完整波形。这一结果说明了如何将动物实验观察到的睡眠生理机制的结果与人自然睡眠活动的脑电结果联系起来,并提示脑信息处理中由微观神经元群放电特征整合为脑的宏观功能状态的主要环节。

关 键 词:慢波睡眠脑电2期  建模  神经元环路  脑整合机制  电信号
修稿时间:2003年3月18日

SIMULATION STUDY ON MODELS FOR MECHANISMS UNDERLYING EEG OF SLOW WAVE SLEEP STAGE 2
TANG Zhi-yu,JIANG Yu-hui,SHI Rui-hong,ZHAO Si-Ian,ZHANG Cheng-fa,HE Dong-qi.SIMULATION STUDY ON MODELS FOR MECHANISMS UNDERLYING EEG OF SLOW WAVE SLEEP STAGE 2[J].Acta Biophysica Sinica,2003,19(4):409-414.
Authors:TANG Zhi-yu  JIANG Yu-hui  SHI Rui-hong  ZHAO Si-Ian  ZHANG Cheng-fa  HE Dong-qi
Abstract:According to the recent physiological theories and the experiment results about slow wave sleep (SWS) mechanisms, it is thought that there exist three different rhythms in the neurons of cortex-thalamic system: slow oscillation (<1 Hz), delta oscillation (1-4 Hz) and spindle oscillation (7-14 Hz). The widespread synchronization of these neurons in cortex level will generate SWS electroencephalograms (EEGs). Three circuit models which can generate the three rhythms respectively are suggested; then they were combined and simplified into a seven-cell circuit model. Moreover the network model composed of many identical circuits can generate waveforms consistent with SWS EEG stage 2. The results reveal the concordance between the physiological experiments about sleep mechanisms and recordings from human natural sleep EEGs; also they enlighten us the chief courses of information processing in which the microscopic, electrical activities of neurons can be integrated into the macroscopic, functional states of human brain.
Keywords:Slow wave sleep EEG stage 2  Modeling  Neuronal circuit  Integration mechanisms of human brain
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