Dynamic Input Conductances Shape Neuronal Spiking.
Dynamic Input Conductances Shape Neuronal Spiking.
复制标题
DOI：
10.1523/eneuro.0031-14.2015
复制
发表时间：
2015-01
期刊：
影响因子：
3.4
通讯作者：
Sepulchre R
中科院分区：
文献类型：
--
作者：
Drion G;Franci A;Dethier J;Sepulchre R
可靠的神经元活动是由位于神经元膜上的离子通道的严格调控保证的。了解这种调节与生理和病理神经元活动相关的因果机制是开发与异常神经系统活动相关的神经系统疾病的有效疗法的必要步骤。评估生物物理参数变化在神经元活动中的作用对于理解神经元信号的调节、鲁棒性和稳态至关重要。本文提出可以通过动态输入电导的分析来解决这个问题。这些电压相关的曲线在不同的时间尺度上聚集了所有离子通道的伴随活性。它们被证明塑造了决定神经元尖峰的电流-电压动态关系。我们提出了一种测量神经元动态输入电导的实验方案。此外，我们还提供了一种从任意电导模型中提取动态输入电导的计算方法，并分析了它们对任意参数的敏感性。我们在一个已发表的基于北蟹（Cancer borealis）口胃神经节数据的神经元模型中阐述了所提出的调节、补偿和鲁棒性研究方法的相关性。
Reliable neuron activity is ensured by a tight regulation of the ion channels that resides in the neuron’s membrane. Understanding the causal mechanisms that relate this regulation to physiological and pathological neuronal activity is a necessary step for developing efficient therapies for neurological diseases associated with abnormal nervous system activity. Assessing the role of biophysical parameter variations in neuronal activity is critical to the understanding of modulation, robustness, and homeostasis of neuronal signalling. The paper proposes that this question can be addressed through the analysis of dynamic input conductances. Those voltage-dependent curves aggregate the concomitant activity of all ion channels in distinct timescales. They are shown to shape the current−voltage dynamical relationships that determine neuronal spiking. We propose an experimental protocol to measure dynamic input conductances in neurons. In addition, we provide a computational method to extract dynamic input conductances from arbitrary conductance-based models and to analyze their sensitivity to arbitrary parameters. We illustrate the relevance of the proposed approach for modulation, compensation, and robustness studies in a published neuron model based on data of the stomatogastric ganglion of the crab Cancer borealis.