ERPLAB: Extensible, open source software for analysis of event-related potentials

ERPLAB：用于分析事件相关电位的可扩展开源软件

• 批准号: 10526436
• 负责人: STEVEN J LUCK
• 金额: $ 23.55万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-12-01 至 2025-11-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10526436
• 关键词: Address; Adoption; Affective; Algorithms; Automatic Data Processing; Automation; Basic Science; Biological; Brain; Brain Diseases; Clinical; Clinical Research; Clinical Sciences; Clinical Trials; Cognition; Cognitive; Complement; Complex; Computer software; Data; Data Analyses; Development; Diagnosis; Disease; Documentation; Electroencephalography; Emotions; Event-Related Potentials; Experimental Designs; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Genetic study; Goals; Grant; Human; Human Resources; Individual; Laboratories; Learning; Licensing; Link; Measures; Methods; Mind; Motor; Neurology; Neurosciences; Paper; Patients; Pattern; Perception; Procedures; Psychiatry; Psychology; Publications; Publishing; Reproducibility; Research; Research Personnel; Resolution; Resources; Science; Sensory; Signal Transduction; Sorting; Source; System; Systems Analysis; Techniques; Textbooks; Time; Training; Translational Research; Writing; base; brain dysfunction; computerized data processing; cost effectiveness; data quality; data visualization; design; flexibility; graphical user interface; improved; innovation; millisecond; open source; open source tool; programs; simulation; skills; software development; temporal measurement; tool; trend; usability

This project continues the development and support of ERPLAB Toolbox, a Matlab-based open source software package for the analysis of event-related potential (ERP) data. ERPs provide information about brain activity related to perception, cognition, emotion, and action with millisecond resolution and are widely used to study a broad range of basic and translational science issues in psychology, neuroscience, psychiatry, neurology, and related fields. ERPs are widely used in research on the mind and brain, but progress has been hampered by the limited abilities of commercial ERP analysis packages, which often include out-of-date processing and analysis procedures, obscure the details of the algorithms, make it difficult to automate data processing, and discourage the development and sharing of new processing and analysis methods. Moreover, these packages are extremely expensive, taking funds away from other purposes and limiting the number of analysis workstations that a given lab can afford. ERPLAB Toolbox directly addresses these shortcomings of commercial ERP analysis packages. It provides powerful but easy-to-use tools for the basic and advanced analysis procedures that are commonly used by ERP researchers. The individual procedures are designed to provide substantial flexibility while also encouraging best practices that maximize reproducibility and replicability. All ERPLAB tools can be accessed from a GUI to maximize ease of use, and they can also be accessed from Matlab scripts to provide automation and customization. In addition, ERPLAB can be easily extended by anyone with rudimentary programming skills, making it possible for researchers to create innovative new data processing and analysis procedures and link ERPs with other types of biological data. ERPLAB has been downloaded over 45,000 times and has been cited in over 1650 publications. It has been used to replace expensive commercial software for conventional analyses, and it has been used as a platform for developing new analysis procedures and for linking ERP data with other open source toolboxes. In the proposed funding period, we will continue to provide basic support and develop new features that reflect trends in basic, translational, and clinical research. We will focus on four themes: increased workflow efficiency; addition of multivariate pattern analysis methods; tools for increasing the reproducibility of methods and the replicability of results; and extensive new training materials. Our goal is to give researchers free, open-source tools that allow them to conduct innovative, state-of-the-art, high-impact research on normal and disordered brain function.

该项目继续了ERPLAB工具箱的开发和支持，ERPLAB工具箱是一个基于MatLab的开放式 用于分析事件相关电位(ERP)数据的源软件包。ERPS提供 与知觉、认知、情感和行动有关的大脑活动信息，以毫秒为单位 解决方案，并广泛用于研究广泛的基础科学和翻译科学问题 心理学、神经科学、精神病学、神经学及相关领域。事件相关电位在研究中被广泛使用 但商业ERP的有限能力阻碍了这一进展 分析包，其中通常包括过时的处理和分析程序，掩盖了 算法的细节，使数据处理自动化变得困难，并阻碍开发 以及分享新的处理和分析方法。此外，这些套餐非常 昂贵，占用了其他用途的资金，并限制了 一个特定的实验室可以负担得起。 ERPLAB工具箱直接解决了商业ERP分析包的这些缺点。它 为基本和高级分析程序提供功能强大但易于使用的工具 通常由ERP研究人员使用。单独的程序旨在提供实质性的 灵活性，同时也鼓励最大限度地提高可再现性和可复制性的最佳做法。全 可以从图形用户界面访问ERPLAB工具，以最大限度地提高易用性，也可以访问这些工具 从Matlab脚本提供自动化和定制化。此外，ERPLAB可以很容易地 任何具有基本编程技能的人都可以扩展，使研究人员能够创建 创新的数据处理和分析程序，并将事件相关电位与其他类型的生物 数据。 ERPLAB已被下载超过45000次，并被1650多种出版物引用。它 已经被用来取代昂贵的商业软件进行传统分析，并且它已经被 用作开发新的分析程序和将企业资源规划数据与其他开放的 源工具箱。在拟议的资助期内，我们将继续提供基本支持和 开发反映基础研究、翻译研究和临床研究趋势的新功能。我们将重点关注 四个主题：提高工作流程效率；增加多变量模式分析方法；工具 提高方法的可重复性和结果的可复制性；以及广泛的新培训 材料。我们的目标是为研究人员提供免费的开源工具，使他们能够进行创新， 对正常和紊乱的大脑功能进行最先进、高影响力的研究。