J. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States.
Department of Neuroscience, University of Florida, Gainesville, FL, United States.
J Neurosci Methods. 2020 Jul 15;341:108800. doi: 10.1016/j.jneumeth.2020.108800. Epub 2020 Jun 1.
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.
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.
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.
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.
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.
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。
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。
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。
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。
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。