Resonance in neocortical neurons and networks
Resonance in neocortical neurons and networks
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DOI：
10.1111/ejn.12001
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发表时间：
2012-12-01
影响因子：
3.4
通讯作者：
van Drongelen, Wim
中科院分区：
文献类型：
--
作者：
Dwyer, Jennifer;Lee, Hyong;van Drongelen, Wim
新皮质网络产生的振荡通常与特定的生理或病理模式相对应。然而，这种振荡态的产生和相互转换的机制仍然知之甚少。在这项研究中，我们研究了小鼠第V层新皮质锥体神经元的共振。为此，我们采用了标准的电生理学来描述细胞的共振参数。BODE图分析揭示了V层神经元的一系列共振幅度值，并证实了V层新皮质锥体神经元的幅度和相位响应特征都受到细胞外环境变化的调制。具体地说，在较高的细胞外钾浓度和较高的超极化膜电位下，观察到更高的共振频率和总诱导面积。使用药物的实验表明，通过超极化激活的环核苷酸门控通道(Ih)的电流是这些神经元共振的主要驱动因素，其他钾电流，如A型钾电流和延迟整流钾电流(分别为Kv1.4和Kv1.1)起辅助作用。持续的钠电流也被证明在放大共振幅度方面发挥了作用，但对相位响应没有显著贡献。尽管单个神经元的共振效应很小，但它们嵌入大型网络的特性可能会显著影响网络行为，并可能对病理过程产生潜在影响。
Neocortical networks produce oscillations that often correspond to characteristic physiological or pathological patterns. However, the mechanisms underlying the generation of and the transitions between such oscillatory states remain poorly understood. In this study, we examined resonance in mouse layer V neocortical pyramidal neurons. To accomplish this, we employed standard electrophysiology to describe cellular resonance parameters. Bode plot analysis revealed a range of resonance magnitude values in layer V neurons and demonstrated that both magnitude and phase response characteristics of layer V neocortical pyramidal neurons are modulated by changes in the extracellular environment. Specifically, increased resonant frequencies and total inductive areas were observed at higher extracellular potassium concentrations and more hyperpolarised membrane potentials. Experiments using pharmacological agents suggested that current through hyperpolarization-activated cyclic nucleotide-gated channels (Ih) acts as the primary driver of resonance in these neurons, with other potassium currents, such as A-type potassium current and delayed-rectifier potassium current (Kv1.4 and Kv1.1, respectively), contributing auxiliary roles. The persistent sodium current was also shown to play a role in amplifying the magnitude of resonance without contributing significantly to the phase response. Although resonance effects in individual neurons are small, their properties embedded in large networks may significantly affect network behavior and may have potential implications for pathological processes.