Automated analyses for single-fiber electrophysiological recordings using a newly developed Microsoft Excel application and graphical user interface.
Automated analyses for single-fiber electrophysiological recordings using a newly developed Microsoft Excel application and graphical user interface.
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DOI：
10.1016/j.jneumeth.2021.109312
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发表时间：
2021-10-01
影响因子：
3
通讯作者：
Ruparel S
中科院分区：
文献类型：
--
作者：
Grayson M;Nagle-Pinkham D;Gokhman D;Ruparel S
在疼痛研究领域，电生理学记录分离的感觉传入神经是常用的方法，用于研究各种疼痛模型中伤害感受的外周机制。该方法包括从神经制备物中熟练而繁琐地记录梳理的纤维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的，易于使用的基于Microsoft Excel的应用程序。新程序shigraspike1.0的代码被编写为创建一个模块，包括用于分析电气和机械响应的可定制子程序。使用先前记录的动作电位与舌-舌神经准备，该程序进行了验证，适当的执行，易于使用，输出数据的准确性和分析所需的时间。我们在Windows和iOS桌面平台上观察到shigraspike1.0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10- 200 mN的步进-保持机械斜坡估计每个力下的脉冲数。通过shigrapsike1.0获得的两种刺激类型的输出数据是准确的，并且从手动分析中统计学上不显著。新型应用shigraspike1.0允许快速分析单纤维记录，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。新开发的shigraspike1.0应用程序可以是一个非常富有成效的工具，可常规用于疼痛研究中单纤维电生理学的有效分析。
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. 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. 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. 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. 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.
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影响因子：
7.4
作者：
Castellanos A;Andres A;Bernal L;Callejo G;Comes N;Gual A;Giblin JP;Roza C;Gasull X
通讯作者：
Gasull X
影响因子：
4
作者：
Chrobok L;Wojcik M;Klich JD;Pradel K;Lewandowski MH;Piggins HD
通讯作者：
Piggins HD
影响因子：
14.8
作者：
Zimmermann K;Hein A;Hager U;Kaczmarek JS;Turnquist BP;Clapham DE;Reeh PW
通讯作者：
Reeh PW
影响因子：
7.4
作者：
Banik, Ratan K.;Brennan, Timothy J.
通讯作者：
Brennan, Timothy J.
影响因子：
13.3
作者：
Garrison, Sheldon R.;Stucky, Cheryl L.
通讯作者：
Stucky, Cheryl L.