内在树突滤波产生局部场电位的低通功率谱。

Intrinsic dendritic filtering gives low-pass power spectra of local field potentials.

作者信息

Lindén Henrik, Pettersen Klas H, Einevoll Gaute T

机构信息

Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, PO Box 5003, 1432, Ås, Norway.

出版信息

J Comput Neurosci. 2010 Dec;29(3):423-44. doi: 10.1007/s10827-010-0245-4. Epub 2010 May 26.

Abstract

The local field potential (LFP) is among the most important experimental measures when probing neural population activity, but a proper understanding of the link between the underlying neural activity and the LFP signal is still missing. Here we investigate this link by mathematical modeling of contributions to the LFP from a single layer-5 pyramidal neuron and a single layer-4 stellate neuron receiving synaptic input. An intrinsic dendritic low-pass filtering effect of the LFP signal, previously demonstrated for extracellular signatures of action potentials, is seen to strongly affect the LFP power spectra, even for frequencies as low as 10 Hz for the example pyramidal neuron. Further, the LFP signal is found to depend sensitively on both the recording position and the position of the synaptic input: the LFP power spectra recorded close to the active synapse are typically found to be less low-pass filtered than spectra recorded further away. Some recording positions display striking band-pass characteristics of the LFP. The frequency dependence of the properties of the current dipole moment set up by the synaptic input current is found to qualitatively account for several salient features of the observed LFP. Two approximate schemes for calculating the LFP, the dipole approximation and the two-monopole approximation, are tested and found to be potentially useful for translating results from large-scale neural network models into predictions for results from electroencephalographic (EEG) or electrocorticographic (ECoG) recordings.

摘要

在探测神经群体活动时,局部场电位(LFP)是最重要的实验测量手段之一,但目前仍缺乏对潜在神经活动与LFP信号之间联系的恰当理解。在此,我们通过对一个接受突触输入的第5层锥体神经元和一个第4层星状神经元对LFP贡献的数学建模来研究这种联系。LFP信号的一种内在树突低通滤波效应,此前已在动作电位的细胞外特征中得到证实,现在发现它对LFP功率谱有强烈影响,即使对于示例锥体神经元低至10 Hz的频率也是如此。此外,发现LFP信号敏感地依赖于记录位置和突触输入的位置:通常发现,在靠近活跃突触处记录的LFP功率谱的低通滤波程度比在更远位置记录的谱要低。一些记录位置显示出LFP显著的带通特性。发现由突触输入电流建立的电流偶极矩特性的频率依赖性定性地解释了观察到的LFP的几个显著特征。测试了两种计算LFP的近似方案,即偶极近似和双单极近似,发现它们可能有助于将大规模神经网络模型的结果转化为脑电图(EEG)或皮质电图(ECoG)记录结果的预测。

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