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RAVE: comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data
NeuroImage ( IF 5.7 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.neuroimage.2020.117341
John F Magnotti 1 , Zhengjia Wang 2 , Michael S Beauchamp 3
Affiliation  

Direct recording of neural activity from the human brain using implanted electrodes (iEEG, intracranial electroencephalography) is a fast-growing technique in human neuroscience. While the ability to record from the human brain with high spatial and temporal resolution has advanced our understanding, it generates staggering amounts of data: a single patient can be implanted with hundreds of electrodes, each sampled thousands of times a second for hours or days. The difficulty of exploring these vast datasets is the rate-limiting step in discovery. To overcome this obstacle, we created RAVE (“R Analysis and Visualization of iEEG”). All components of RAVE, including the underlying “R” language, are free and open source. User interactions occur through a web browser, making it transparent to the user whether the back-end data storage and computation are occurring locally, on a lab server, or in the cloud. Without writing a single line of computer code, users can create custom analyses, apply them to data from hundreds of iEEG electrodes, and instantly visualize the results on cortical surface models. Multiple types of plots are used to display analysis results, each of which can be downloaded as publication-ready graphics with a single click. RAVE consists of nearly 50,000 lines of code designed to prioritize an interactive user experience, reliability and reproducibility.

中文翻译:

RAVE:用于颅内 EEG 数据的可重复分析和可视化的综合开源软件

使用植入电极(iEEG,颅内脑电图)直接记录人脑的神经活动是人类神经科学中一项快速发展的技术。虽然以高空间和时间分辨率从人脑记录的能力提高了我们的理解,但它产生的数据量惊人:一个病人可以植入数百个电极,每个电极每秒采样数千次,持续数小时或数天。探索这些庞大数据集的困难在于发现中的限速步骤。为了克服这个障碍,我们创建了 RAVE(“iEEG 的 R 分析和可视化”)。RAVE 的所有组件,包括底层的“R”语言,都是免费和开源的。用户交互通过网络浏览器进行,无论后端数据存储和计算是在本地、实验室服务器还是在云中进行,都让用户透明。无需编写任何计算机代码,用户就可以创建自定义分析,将其应用于来自数百个 iEEG 电极的数据,并立即在皮质表面模型上可视化结果。多种类型的图表用于显示分析结果,只需单击一下即可将每种图表下载为可供出版的图形。RAVE 包含近 50,000 行代码,旨在优先考虑交互式用户体验、可靠性和可重复性。并立即在皮质表面模型上可视化结果。多种类型的图表用于显示分析结果,只需单击一下即可将每种图表下载为可供出版的图形。RAVE 包含近 50,000 行代码,旨在优先考虑交互式用户体验、可靠性和可重复性。并立即在皮质表面模型上可视化结果。多种类型的图表用于显示分析结果,只需单击一下即可将每种图表下载为可供出版的图形。RAVE 包含近 50,000 行代码,旨在优先考虑交互式用户体验、可靠性和可重复性。
更新日期:2020-12-01
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