کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6268357 1614626 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Basic NeuroscienceStimDuino: An Arduino-based electrophysiological stimulus isolator
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
Basic NeuroscienceStimDuino: An Arduino-based electrophysiological stimulus isolator
چکیده انگلیسی


- Cheap, microcontroller-based, programmable electrophysiological stimulus isolator.
- Allows automatic control over stimulation parameters.
- Multi-purpose application for in vivo and in vitro experiments.

BackgroundElectrical stimulus isolator is a widely used device in electrophysiology. The timing of the stimulus application is usually automated and controlled by the external device or acquisition software; however, the intensity of the stimulus is adjusted manually. Inaccuracy, lack of reproducibility and no automation of the experimental protocol are disadvantages of the manual adjustment. To overcome these shortcomings, we developed StimDuino, an inexpensive Arduino-controlled stimulus isolator allowing highly accurate, reproducible automated setting of the stimulation current.New methodThe intensity of the stimulation current delivered by StimDuino is controlled by Arduino, an open-source microcontroller development platform. The automatic stimulation patterns are software-controlled and the parameters are set from Matlab-coded simple, intuitive and user-friendly graphical user interface. The software also allows remote control of the device over the network.ResultsElectrical current measurements showed that StimDuino produces the requested current output with high accuracy. In both hippocampal slice and in vivo recordings, the fEPSP measurements obtained with StimDuino and the commercial stimulus isolators showed high correlation.Comparison with existing methodsCommercial stimulus isolators are manually managed, while StimDuino generates automatic stimulation patterns with increasing current intensity. The pattern is utilized for the input-output relationship analysis, necessary for assessment of excitability. In contrast to StimuDuino, not all commercial devices are capable for remote control of the parameters and stimulation process.ConclusionsStimDuino-generated automation of the input-output relationship assessment eliminates need for the current intensity manually adjusting, improves stimulation reproducibility, accuracy and allows on-site and remote control of the stimulation parameters.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 243, 30 March 2015, Pages 8-17
نویسندگان
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