Membrane potential resonance frequency directly influences network frequency through electrical coupling
Membrane potential resonance frequency directly influences network frequency through electrical coupling
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DOI：
10.1152/jn.00361.2016
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发表时间：
2016-10-01
影响因子：
2.5
通讯作者：
Nadim, Farzan
中科院分区：
文献类型：
--
作者：
Chen, Yinbo;Li, Xinping;Nadim, Farzan
振荡网络通常包括具有膜电位共振的神经元，其在非零（共振）频率（f（res））处表现出作为电流输入的函数的电压振幅的峰值。虽然f（res）在各种系统中与网络频率（f（net））相关，但两者之间的因果关系尚未建立。我们研究的假设，即组合的生物物理参数，转移f（res），而不改变其他属性的阻抗曲线，也转移f（净）在同一方向。我们测试这一假设，计算和实验，在一个电耦合网络组成的固有振荡器（O）和谐振器（R）的神经元。我们使用这样的网络的两个细胞模型，以表明增加R的f（res）直接增加f（net），如果共振的振幅增加，这种效果变得更加突出。值得注意的是，f（res）对f（net）的影响与定义振荡器的参数或产生f（res）偏移的R中参数的组合无关，只要该组合产生相同的阻抗与频率关系。我们使用的动态钳技术，实验验证模型的预测，通过连接一个模型谐振器的起搏器幽门扩张神经元的螃蟹北极光幽门网络使用电突触，并表明，幽门网络的频率可以通过改变f（RES）在谐振器中移动。我们的研究结果提供了令人信服的证据表明，f（res）和共振振幅强烈影响f（net），因此，调制器可能会针对这些属性来修改节律活动。
Oscillatory networks often include neurons with membrane potential resonance, exhibiting a peak in the voltage amplitude as a function of current input at a nonzero (resonance) frequency (f(res)). Although f(res) has been correlated to the network frequency (f(net)) in a variety of systems, a causal relationship between the two has not been established. We examine the hypothesis that combinations of biophysical parameters that shift f(res), without changing other attributes of the impedance profile, also shift f(net) in the same direction. We test this hypothesis, computationally and experimentally, in an electrically coupled network consisting of intrinsic oscillator (O) and resonator (R) neurons. We use a two-cell model of such a network to show that increasing f(res) of R directly increases f(net) and that this effect becomes more prominent if the amplitude of resonance is increased. Notably, the effect of f(res) on f(net) is independent of the parameters that define the oscillator or the combination of parameters in R that produce the shift in f(res), as long as this combination produces the same impedance vs. frequency relationship. We use the dynamic clamp technique to experimentally verify the model predictions by connecting a model resonator to the pacemaker pyloric dilator neurons of the crab Cancer borealis pyloric network using electrical synapses and show that the pyloric network frequency can be shifted by changing f(res) in the resonator. Our results provide compelling evidence that f(res) and resonance amplitude strongly influence f(net), and therefore, modulators may target these attributes to modify rhythmic activity.