Journal of Neuroscience Methods ( IF 3 ) Pub Date : 2021-08-08 , DOI: 10.1016/j.jneumeth.2021.109312 Max Grayson 1 , Daniel Nagle-Pinkham 2 , Dmitry Gokhman 2 , Shivani Ruparel 1
Background
Electrophysiological recordings of isolated sensory afferents are commonly used in the field of pain research to investigate peripheral mechanisms of nociception in various pain models. The method involves skillful and tedious recordings of teased fibers from nerve preparations as well as time-consuming post-recording analyses. To increase efficiency and productivity of data analyses of recorded action potentials, we developed and validated a novel, easy-to-use Microsoft Excel-based application using Visual Basic Programming.
New method
A code for the novel program, shigraspike1.0, was written to create a module to include customizable subroutines for analyses for electrical and mechanical responses. Using previously recorded action potentials with tongue-lingual nerve preparations, the program was validated for appropriate execution, ease-of-use, accuracy of the output data and time taken for analyses.
Results
We observed appropriate execution of shigraspike1.0 on Windows and iOS desktop platforms that included computation of response latency of the spike of interest using electrical stimulus as well as estimation of the number of impulses at each force with a step-and-hold mechanical ramp of 10–200mN. Output data obtained by shigrapsike1.0 for both stimulus types were accurate and statistically insignificant from manual analyses.
Comparison with existing method
The novel application shigraspike1.0, allows for rapid analyses for single-fiber recordings and takes less than half the time to analyze electrical and mechanical responses compared to manual analyses.
Conclusions
The newly developed shigraspike1.0 application can be a very productive tool to be routinely used for efficient analyses of single-fiber electrophysiology in pain research.
中文翻译:
使用新开发的 Microsoft Excel 应用程序和图形用户界面对单纤维电生理记录进行自动分析
背景
孤立的感觉传入的电生理记录通常用于疼痛研究领域,以研究各种疼痛模型中伤害感受的外围机制。该方法涉及对神经准备中的挑逗纤维进行熟练而乏味的记录,以及耗时的记录后分析。为了提高记录动作电位数据分析的效率和生产力,我们使用 Visual Basic 编程开发并验证了一种新颖、易于使用的基于 Microsoft Excel 的应用程序。
新方法
编写了新程序 shigraspike1.0 的代码以创建一个模块,其中包括用于分析电气和机械响应的可定制子程序。使用先前记录的带有舌舌神经准备的动作电位,该程序被验证为适当的执行、易用性、输出数据的准确性和分析所需的时间。
结果
我们观察到 shigraspike1.0 在 Windows 和 iOS 桌面平台上的适当执行,包括使用电刺激计算感兴趣的尖峰的响应延迟,以及使用步进保持机械斜坡估计每个力的脉冲数10-200 百万牛。shigrapsike1.0 获得的两种刺激类型的输出数据都是准确的,并且在手动分析中没有统计学意义。
与现有方法的比较
新的应用程序 shigraspike1.0 允许对单纤维记录进行快速分析,与手动分析相比,分析电气和机械响应所需的时间不到一半。
结论
新开发的 shigraspike1.0 应用程序可以成为一种非常高效的工具,可常规用于疼痛研究中单纤维电生理学的有效分析。