Subthreshold oscillations and resonant behavior: Two manifestations of the same mechanism
Subthreshold oscillations and resonant behavior: Two manifestations of the same mechanism
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DOI：
10.1016/s0306-4522(96)00588-x
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发表时间：
1997-05-01
期刊：
影响因子：
3.3
通讯作者：
Yarom, Y
中科院分区：
文献类型：
--
作者：
Lampl, I;Yarom, Y
下橄榄核神经元产生阈下膜电位振荡的能力归因于这些神经元的电特性，以及网络的特性。在目前的体外研究中，我们定量表征了直接参与豚鼠橄榄神经元振荡活动的内在膜和网络特性。我们还实施了交流电分析来探索这些神经元的共振行为，并将共振特性与振荡活动的特性进行比较。光谱分析用于各种实验条件下振荡活性的定量表征，揭示了振荡活性的模式是网络特异性的而不是细胞特异性的。这些结果与橄榄树神经元的振荡活动是由电偶联神经元网络产生的假设一致。采用交流电分析；我们发现橄榄神经元的阻抗-频率曲线显示出一个峰值阻抗（共振）频率在3 ~ 10 Hz之间，与自发振荡的频率相对应。与自发振荡一样，该峰对河豚毒素不敏感，不受K+通道阻滞剂的影响，并且在生理溶液中Ni2+存在时几乎完全阻断。温度升高会增加共振频率。以及自发振荡的频率。这些结果表明，单个神经元的共振行为是网络振荡行为的基础，共振可以作为一个集总参数来编码神经元的振荡倾向。(c) 1997年。Elsevier Science Ltd.出版。
The ability to generate subthreshold membrane potential oscillations in neurons from the inferior olive nucleus has been attributed to the electrical properties of these neurons, as well as to the properties of the network. In the present in vitro study we quantitatively characterized both intrinsic membrane and network properties that are directly involved in the oscillatory activity of olivary neurons in the guinea-pig. We also implemented an alternating current analysis to explore the resonance behavior of these neurons and to compare the resonant properties with the properties of the oscillatory activity. Spectral analysis, used for the quantitative characterization of the oscillatory activity under various experimental conditions, revealed that the pattern of the oscillatory activity is network specific rather than cell specific. These results are in agreement with the hypothesis that the oscillatory activity of olivary neurons is generated by a network of electrically coupled neurons. Using alternating current analysis; we found that impedance-frequency curves of olivary neurons demonstrate a peak impedance (resonance) al a frequency between 3 and 10 Hz, which corresponds to the frequency of the spontaneous oscillations. Like the spontaneous oscillations, this peak is tetrodotoxin insensitive, unaffected by K+ channel blockers and almost completely blocked in the presence of Ni2+ in the physiological solution. Increasing the temperature increases the resonance frequency. as well as the frequency of the spontaneous oscillations.These results show that the resonant behavior of individual neurons is the basis of the oscillatory behavior of the network and that resonance can serve as a lumped parameter which encodes the oscillatory tendency of a neuron. (C) 1997 IBRO. Published by Elsevier Science Ltd.