High-resolution intracellular recordings using a real-time computational model of the electrode
High-resolution intracellular recordings using a real-time computational model of the electrode
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DOI：
10.1016/j.neuron.2008.06.021
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发表时间：
2008-08-14
期刊：
影响因子：
16.2
通讯作者：
Destexhe, Alain
中科院分区：
文献类型：
--
作者：
Brette, Romain;Piwkowska, Zuzanna;Destexhe, Alain
神经元膜电位的细胞内记录是神经生理学的核心工具。在许多情况下，特别是在体内，这种记录的传统限制是高电极电阻和电容，这可能导致电流注入期间的显著测量误差。我们介绍了一种计算机辅助技术，有源电极补偿（AEC），基于数字模型的电极接口在真实的时间与电生理设置。该模型的特性首先估计使用白色噪声电流注入。电极和膜贡献被数字化分离，然后通过电极贡献的在线减法进行记录。在体外和体内进行的测试表明，AEC能够在苛刻的条件下进行高频记录，例如在动态钳模式下注入电导噪声，这在目前为止尚不适用于单个高电阻电极。AEC应该是特别有用的，以表征快速的神经元现象在体内细胞内。
Intracellular recordings of neuronal membrane potential are a central tool in neurophysiology. In many situations, especially in vivo, the traditional limitation of such recordings is the high electrode resistance and capacitance, which may cause significant measurement errors during current injection. We introduce a computer-aided technique, Active Electrode Compensation (AEC), based on a digital model of the electrode interfaced in real time with the electrophysiological setup. The characteristics of this model are first estimated using white noise current injection. The electrode and membrane contribution are digitally separated, and the recording is then made by online subtraction of the electrode contribution. Tests performed in vitro and in vivo demonstrate that AEC enables high-frequency recordings in demanding conditions, such as injection of conductance noise in dynamic-clamp mode, not feasible with a single high-resistance electrode until now. AEC should be particularly useful to characterize fast neuronal phenomena intracellularly in vivo.