RAVE: A New Open Software Tool for Analysis and Visualization of Electrocorticography Data

RAVE：一种用于皮层电图数据分析和可视化的新型开放软件工具

• 批准号: 9766391
• 负责人: Michael S Beauchamp
• 金额: $ 23.66万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9766391
• 关键词: Adoption; Algorithms; Amalgam; Brain; Code; Communication; Communities; Computer software; Data; Data Analyses; Data Set; Development; Disease; Electrocorticogram; Electrodes; Ensure; Family; Functional Magnetic Resonance Imaging; Funding; Future; Goals; Grant; Health; Hour; Human; Human Activities; Imagery; Implant; Implanted Electrodes; Laboratories; Language; Least-Squares Analysis; Letters; Literature; Machine Learning; Medicine; Methodology; Morphologic artifacts; Neurons; Neurosciences; Nightmare; Paper; Patients; Philosophy; Play; Plug-in; Population; Proliferating; Property; Pythons; Recording of previous events; Research; Research Design; Research Personnel; Rest; Sampling; Seeds; Software Design; Software Tools; Techniques; Time; United States National Institutes of Health; Variant; Visit; application programming interface; base; college; computer science; design; experience; experimental study; graphical user interface; improved; insight; interoperability; novel; open source; programs; relating to nervous system; statistics; temporal measurement; tool; wiki

Project Summary/Abstract A fast-growing technique in human neuroscience is electrocorticography (ECOG), the only technique that allows the activity of small population of neurons in the human brain to be directly recorded. We use the term ECOG to refer to the entire range of invasive recording techniques (from subdural strips and grids to penetrating electrodes) that share the common attribute of recording neural activity from the human brain with high spatial and temporal resolution. While this ability has resulted in many high-impact advances in understanding fundamental mechanisms of brain function in health and disease, it generates staggering amounts of data as a single patient can be implanted with hundreds of electrodes, each sampled thousands of times a second for hours or even days. The difficulty of exploring these vast datasets is the rate-limiting step in using them to improve human health. We propose to overcome this obstacle by creating an easy-to-use, powerful platform designed from the ground up for the unique properties of ECOG. We dub this software tool RAVE (“R Analysis and Visualization of Electrocorticography data”). The first goal of Aim 1 is to release RAVE 1.0 to the entire ECOG community by month 6 of the first funding period. This will maximize transformative impact by putting the new tools in the hands of users as quickly as possible, facilitating rapid adoption. The design philosophy of RAVE is driven by three imperatives. The first is to keep users "close to the data" so that users may make discoveries about the brain without being misled by artifacts. The second imperative is rigorous statistical methodology. The final imperative is "play well with others". As described in Aim 2, our approach will make it easy to seamlessly incorporate new and existing analysis tools written in Matlab, C++, Python or R into RAVE, giving users the best of both worlds: advanced but easy-to-use visualization of results from ECOG experiments, whether they are analyzed with the off-the- shelf tools routines provided with RAVE or novel tools developed by others.

项目总结/摘要 在人类神经科学中，一种快速发展的技术是皮层脑电图（ECOG）， 它可以直接记录人脑中一小部分神经元的活动。公司现采用国际 术语ECOG是指整个侵入性记录技术范围（从硬膜下条和网格到 穿透电极），其共享记录来自人脑的神经活动的共同属性 具有高的空间和时间分辨率。虽然这种能力导致了许多高影响力的进步， 了解健康和疾病中大脑功能的基本机制， 单个患者可以植入数百个电极，每个电极采样数千个 几个小时甚至几天。探索这些庞大的数据集的困难在于 利用它们来改善人类健康。我们建议通过创建一个易于使用， 为ECOG的独特性能而全新设计的强大平台。我们将这个软件工具命名为 RAVE（“皮层电图数据的R分析和可视化”）。 Aim 1的第一个目标是在第一个月的第6个月向整个ECOG社区发布RAVE 1.0 融资期。这将通过将新工具交到用户手中， 尽可能快，以促进快速采用。RAVE的设计理念由三个要素驱动。 第一个是让用户“接近数据”，这样用户就可以在不被干扰的情况下发现大脑。 被艺术品误导了第二个必要条件是严格的统计方法。最后的当务之急是“打好比赛 与他人”。如目标2所述，我们的方法将使新的和现有的无缝整合变得容易。 使用Matlab、C++、Python或R编写的分析工具集成到RAVE中，为用户提供两全其美的功能：高级 但易于使用的可视化结果从ECOG实验，无论他们是分析与关闭的， RAVE提供的工具例程或其他人开发的新工具。