Article Summary

Title : Application of Active Electrode Compensation to Perform Continuous Voltage-Clamp Recordings with Sharp Microelectrodes
Authors : J.F Gomez-Gonzalez, Alain Destexhe and Thierry Bal
Year : 2014
Journal : Journal of Neural Engineering
Volume : 11
Pages : 056028

Abstract

<p> </p> <div class="page" title="Page 1"> <div class="layoutArea"> <div class="column"> <p><span style="font-size: 10.000000pt; font-family: 'AdvOTb4af3d5d.I';">Objective</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d';">. Electrophysiological recordings of single neurons in brain tissues are very common in neuroscience. Glass microelectrodes </span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d+fb';">fi</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d';">lled with an electrolyte are used to impale the cell membrane in order to record the membrane potential or to inject current. Their high resistance induces a high voltage drop when passing current and it is essential to correct the voltage measurements. In particular, for voltage clamping, the traditional alternatives are two-electrode voltage-clamp technique or discontinuous single electrode voltage-clamp (dSEVC). Nevertheless, it is generally dif</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d+fb';">fi</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d';">cult to impale two electrodes in a same neuron and the switching frequency is limited to low frequencies in the case of dSEVC. We present a novel fully computer-implemented alternative to perform continuous voltage-clamp recordings with a single sharp-electrode. </span><span style="font-size: 10.000000pt; font-family: 'AdvOTb4af3d5d.I';">Approach</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d';">. To reach such voltage-clamp recordings, we combine an active electrode compensation algorithm (AEC) with a digital controller (AECVC). </span><span style="font-size: 10.000000pt; font-family: 'AdvOTb4af3d5d.I';">Main results</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d';">. We applied two types of control-systems: a linear controller (proportional plus integrative controller) and a model-based controller (optimal control). We compared the performance of the two methods to dSEVC using a dynamic model cell and experiments in brain slices. </span><span style="font-size: 10.000000pt; font-family: 'AdvOTb4af3d5d.I';">Signi</span><span style="font-size: 10.000000pt; font-family: 'AdvOTb4af3d5d.I+fb';">fi</span><span style="font-size: 10.000000pt; font-family: 'AdvOTb4af3d5d.I';">cance</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d';">. The AECVC method provides an entirely digital method to perform continuous recording and smooth switching between voltage-clamp, current clamp or dynamic-clamp con</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d+fb';">fi</span><span style="font-size: 10.000000pt; font-family: 'AdvOTf9433e2d';">gurations without introducing artifacts. </span></p> </div> </div> </div>