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佛罗里达开源电生理实验同步工具(FROST)。

Florida research open-source synchronization tool (FROST) for electrophysiology experiments.

机构信息

J. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States.

Department of Neuroscience, University of Florida, Gainesville, FL, United States.

出版信息

J Neurosci Methods. 2020 Jul 15;341:108800. doi: 10.1016/j.jneumeth.2020.108800. Epub 2020 Jun 1.

Abstract

BACKGROUND

Accurate interpretation of electrophysiological data in cognitive and behavioral experiments requires the acquisition of time labels, such as marking the exact start of a condition or moment a stimulus is presented to a research subject.

NEW METHOD

Here we present an inexpensive (∼30 USD) device used as a central relay for multiple peripheral devices, such as a computer screen presenting an experiment, a pressure-sensor push button, a multi-button responder, a pulse oximeter sensor, a light-emitting diode trigger for camera synchronization, and more. We refer to this device as the Florida Research Open-source Synchronization Tool (FROST). FROST allows for easy hardware and Arduino-based firmware modifications that enable a standard platform for the integration of novel peripheral sensors.

RESULTS

With two examples, we demonstrate the application of this device during human research experiments: intracranial-electroencephalography (EEG) recordings in a patient with epilepsy and surface-EEG recordings in a healthy participant. We provide an example setup for a rodent experiment as well. We also demonstrate the timing delays of our device.

COMPARISON WITH EXISTING METHODS

There is currently very few existing open-source synchronization tools for electrophysiological research that enable customization with new device compatibility. We developed this tool to enable widespread replication for many applications through an open-source platform.

CONCLUSIONS

FROST can be easily adapted for research experiments beyond the included example cases. All materials are open-source at github.com/Brain-Mapping-Lab/FROST.

摘要

背景

在认知和行为实验中准确解释电生理数据需要获取时间标签,例如标记条件的确切开始或研究对象接收到刺激的时刻。

新方法

在这里,我们介绍了一种廉价(约 30 美元)的设备,可用作多个外围设备(如呈现实验的计算机屏幕、压力传感器按钮、多按钮响应器、脉搏血氧仪传感器、用于相机同步的发光二极管触发器等)的中央中继器。我们将此设备称为佛罗里达研究开源同步工具(FROST)。FROST 允许轻松进行硬件和基于 Arduino 的固件修改,从而为集成新型外围传感器提供了标准平台。

结果

我们通过两个示例演示了该设备在人类研究实验中的应用:癫痫患者的颅内脑电图(EEG)记录和健康参与者的表面 EEG 记录。我们还提供了一个用于啮齿动物实验的示例设置。我们还展示了我们设备的定时延迟。

与现有方法的比较

目前,用于电生理研究的开源同步工具非常少,只能与新的设备兼容性进行定制。我们开发了这个工具,通过一个开源平台,使许多应用程序能够广泛复制。

结论

FROST 可以轻松适应超出包含示例案例的研究实验。所有材料都在 github.com/Brain-Mapping-Lab/FROST 上开源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c536/7375776/98206f06431a/nihms-1605113-f0009.jpg

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