Gladstone Institute of Neurological Disease, 1650 Owens Street, San Francisco, CA, United States.
Brain Res. 2013 May 20;1511:21-32. doi: 10.1016/j.brainres.2012.11.018. Epub 2012 Nov 21.
Optogenetics has revolutionized neuroscience over the past several years by allowing researchers to modulate the activity of specific cell types, both in vitro and in vivo. One promising application of optogenetics is to use channelrhodopsin-2 (ChR2) mediated spiking to identify distinct cell types in electrophysiological recordings from awake behaving animals. In this paper, we apply this approach to in vivo recordings of the two major projection cell types in the striatum: the direct- and indirect-pathway medium spiny neurons. We expressed ChR2 in the neurons of the direct or indirect pathways using a cre-dependent viral strategy and performed electrical recordings together with optical stimulation using an implanted microwire array that included an integrated optical fiber. Despite the apparent simplicity of identifying ChR2-expressing neurons as those that respond to light, we encountered multiple potential confounds when applying this approach. Here, we describe and address these confounds and provide a Matlab tool so that others can implement our analysis methods. This article is part of a Special Issue entitled Optogenetics (7th BRES).
光遗传学在过去几年中彻底改变了神经科学,使研究人员能够在体外和体内调节特定细胞类型的活性。光遗传学的一个很有前途的应用是使用通道视紫红质-2(ChR2)介导的尖峰来识别清醒行为动物的电生理记录中的不同细胞类型。在本文中,我们将这种方法应用于纹状体中两种主要投射细胞类型的体内记录:直接和间接通路中的中型棘突神经元。我们使用依赖 cre 的病毒策略在直接或间接通路神经元中表达 ChR2,并使用植入的微线阵列进行电记录,该阵列包括集成光纤进行光刺激。尽管识别对光有反应的 ChR2 表达神经元的方法看似简单,但在应用该方法时我们遇到了多个潜在的混淆因素。在这里,我们描述并解决了这些混淆因素,并提供了一个 Matlab 工具,以便其他人可以实现我们的分析方法。本文是特刊题为“光遗传学(第 7 期 BRES)”的一部分。