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非均匀细胞外电阻率影响上下状态振荡的电流源密度分布。

Non-homogeneous extracellular resistivity affects the current-source density profiles of up-down state oscillations.

机构信息

Department of Cell Biology and Neuroscience, University of California, Riverside, CA 92521, USA.

出版信息

Philos Trans A Math Phys Eng Sci. 2011 Oct 13;369(1952):3802-19. doi: 10.1098/rsta.2011.0119.

Abstract

Rhythmic local field potential (LFP) oscillations observed during deep sleep are the result of synchronized electrical activities of large neuronal ensembles, which consist of alternating periods of activity and silence, termed 'up' and 'down' states, respectively. Current-source density (CSD) analysis indicates that the up states of these slow oscillations are associated with current sources in superficial cortical layers and sinks in deep layers, while the down states display the opposite pattern of source-sink distribution. We show here that a network model of up and down states displays this CSD profile only if a frequency-filtering extracellular medium is assumed. When frequency filtering was modelled as inhomogeneous conductivity, this simple model had considerably more power in slow frequencies, resulting in significant differences in LFP and CSD profiles compared with the constant-resistivity model. These results suggest that the frequency-filtering properties of extracellular media may have important consequences for the interpretation of the results of CSD analysis.

摘要

在深度睡眠期间观察到的节律性局部场电位 (LFP) 振荡是由大神经元集合的同步电活动引起的,这些集合由活动和静止交替的时期组成,分别称为“向上”和“向下”状态。电流源密度 (CSD) 分析表明,这些慢振荡的向上状态与浅层皮质层中的电流源和深层中的汇相关,而向下状态显示出相反的源汇分布模式。我们在这里表明,只有假设存在频率滤波的细胞外介质,上下状态的网络模型才会显示出这种 CSD 分布。当将频率滤波建模为非均匀电导率时,与恒定电阻率模型相比,这个简单的模型在慢频率下具有更大的功率,导致 LFP 和 CSD 谱的显著差异。这些结果表明,细胞外介质的频率滤波特性可能对 CSD 分析结果的解释产生重要影响。

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