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模拟5层神经元和网络动力学对低频脑电图现象的贡献。

Modeling the contribution of lamina 5 neuronal and network dynamics to low frequency EEG phenomena.

作者信息

Karameh Fadi N, Dahleh Munther A, Brown Emery N, Massaquoi Steve G

机构信息

Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon.

出版信息

Biol Cybern. 2006 Oct;95(4):289-310. doi: 10.1007/s00422-006-0090-8. Epub 2006 Aug 8.

Abstract

The Electroencephalogram (EEG) is an important clinical and research tool in neurophysiology. With the advent of recording techniques, new evidence is emerging on the neuronal populations and wiring in the neocortex. A main challenge is to relate the EEG generation mechanisms to the underlying circuitry of the neocortex. In this paper, we look at the principal intrinsic properties of neocortical cells in layer 5 and their network behavior in simplified simulation models to explain the emergence of several important EEG phenomena such as the alpha rhythms, slow-wave sleep oscillations, and a form of cortical seizure. The models also predict the ability of layer 5 cells to produce a resonance-like neuronal recruitment known as the augmenting response. While previous models point to deeper brain structures, such as the thalamus, as the origin of many EEG rhythms (spindles), the current model suggests that the cortical circuitry itself has intrinsic oscillatory dynamics which could account for a wide variety of EEG phenomena.

摘要

脑电图(EEG)是神经生理学中一种重要的临床和研究工具。随着记录技术的出现,关于新皮层中神经元群体和神经连接的新证据不断涌现。一个主要挑战是将脑电图产生机制与新皮层的潜在神经回路联系起来。在本文中,我们研究了第5层新皮层细胞的主要内在特性及其在简化模拟模型中的网络行为,以解释几种重要脑电图现象的出现,如α节律、慢波睡眠振荡和一种皮层癫痫发作形式。这些模型还预测了第5层细胞产生一种类似共振的神经元募集的能力,即增强反应。虽然以前的模型指出丘脑等更深层的脑结构是许多脑电图节律(纺锤波)的起源,但当前模型表明皮层神经回路本身具有内在的振荡动力学,这可以解释各种各样的脑电图现象。

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