Anatomy and Neurobiology, University of California, Irvine, CA 92697
eNeuro. 2022 Oct 12;9(5). doi: 10.1523/ENEURO.0283-22.2022. Print 2022 Sep-Oct.
Experiments employing chronic monitoring of neurophysiological signals and video are commonly used in studies of epilepsy to characterize behavioral correlates of seizures. Our objective was to design a low-cost platform that enables chronic monitoring of several animals simultaneously, synchronizes bilateral local field potential (LFP) and video streams in real time, and parses recorded data into manageable file sizes. We present a hardware solution leveraging Intan and Open Ephys acquisition systems and a software solution implemented in Bonsai. The platform was tested in 48-h continuous recordings simultaneously from multiple mice (male and female) with chronic epilepsy. To enable seizure detection and scoring, we developed a graphical user interface (GUI) that reads the data produced by our workflow and allows a user with no coding expertise to analyze events. Our Bonsai workflow was designed to maximize flexibility for a wide variety of experimental applications, and our use of the Open Ephys acquisition board would allow for scaling recordings up to 128 channels per animal.
实验采用神经生理信号和视频的慢性监测，常用于癫痫研究中，以描述癫痫发作的行为相关性。我们的目标是设计一个低成本的平台，能够同时对多个动物进行慢性监测，实时同步双侧局部场电位（LFP）和视频流，并将记录的数据解析成可管理的文件大小。我们提出了一种硬件解决方案，利用 Intan 和 Open Ephys 采集系统，以及在 Bonsai 中实现的软件解决方案。该平台在具有慢性癫痫的多只老鼠（雄性和雌性）的 48 小时连续记录中进行了测试。为了实现癫痫发作的检测和评分，我们开发了一个图形用户界面（GUI），该界面读取我们工作流程生成的数据，并允许没有编码经验的用户分析事件。我们的 Bonsai 工作流程旨在为各种实验应用提供最大的灵活性，我们对 Open Ephys 采集板的使用将允许每个动物的记录扩展到 128 个通道。
