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: 9222043
• 负责人: STEVEN J LUCK
• 金额: $ 15.7万
• 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 2020-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9222043
• 关键词: Address; Adoption; Affective; Automation; Basic Science; Biological; Brain; Brain Diseases; Clinical Research; Clinical Sciences; Clinical Trials; Cognition; Cognitive; Complement; Computer software; Custom; Data; Data Analyses; Development; Diagnosis; Disease; Documentation; Electroencephalography; Emotions; Event-Related Potentials; Explosion; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Genetic study; Goals; Grant; Human; Human Resources; Imagery; Individual; Laboratories; Learning; Licensing; Link; Measures; Methods; Mind; Motor; Neurology; Neurosciences; Paper; Patients; Perception; Procedures; Psychiatry; Psychology; Publications; Publishing; Research; Research Personnel; Resolution; Science; Sensory; Statistical Data Interpretation; System; Techniques; Time; Translational Research; Writing; base; brain abnormalities; computer program; computerized data processing; cost effectiveness; endophenotype; experience; flexibility; graphical user interface; improved; innovation; millisecond; novel strategies; open data; open source; programs; public health relevance; skills; software development; temporal measurement; tool; trend

 DESCRIPTION (provided by applicant): 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. There has been an explosion in ERP research, but progress has been hampered by the limited abilities of commercial ERP analysis software and the lack of full-featured open source ERP analysis packages. This situation has slowed the development of new directions in ERP research, instead encouraging researchers to continue with existing approaches supported by the built-in functions of the available commercial analysis packages. ERPLAB Toolbox directly addresses these problems. It adds all the main ERP processing routines to an open source EEG processing package, EEGLAB. ERPLAB builds on EEGLAB by adding powerful tools for the subsequent stages of ERP analysis. All ERPLAB tools can be accessed from the GUI, and they can also be accessed from Matlab scripts to provide automation and customization. ERPLAB provides powerful but easy-to-use tools for the basic and advanced analysis procedures that are commonly used by ERP researchers. 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 publicly available for 4 years, and in that time it has been downloaded over 10,000 times and has been cited in 165 publications (a number that is increasing exponentially). 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; new tools for single-trial analyses; advanced statistical tools; and additional documentation and examples. 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.

 描述（由申请人提供）：该项目继续开发和支持ERPLAB ESTA，一个基于Matlab的开源软件包，用于分析事件相关电位（ERP）数据。ERP提供有关感知，认知，情感和动作的毫秒分辨率的大脑活动的信息，并广泛用于研究心理学，神经科学，精神病学，神经学和相关领域的广泛基础和转化科学问题。ERP研究出现了爆炸式增长，但商业ERP分析软件的有限能力和缺乏功能齐全的开源ERP分析软件包阻碍了进展。这种情况减缓了ERP研究新方向的发展，反而鼓励研究人员继续使用现有的方法，这些方法得到现有商业分析软件包的内置功能的支持。 ERPLAB ®直接解决这些问题。它将所有主要的ERP处理例程添加到开源EEG处理包EEGLAB中。ERPLAB建立在EEGLAB的基础上，为ERP分析的后续阶段添加了强大的工具。所有ERPLAB工具都可以从GUI访问，也可以从Matlab脚本访问，以提供自动化和自定义。ERPLAB为ERP研究人员常用的基本和高级分析程序提供了功能强大但易于使用的工具。此外，任何具有基本编程技能的人都可以轻松扩展ERPLAB，使研究人员能够创建创新的数据处理和分析程序，并将ERP与其他类型的生物数据联系起来。 ERPLAB已公开发布4年，在此期间，它已被下载超过10，000次，并被165种出版物引用（数量呈指数级增长）。它已被用来取代昂贵的商业软件进行常规分析，并已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源码工具箱连接起来的平台。在拟议的资助期间，我们将继续提供基本支持，并开发反映基础，转化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;用于单次试验分析的新工具;高级统计工具;以及其他文档和示例。我们的目标是为研究人员提供免费的开源工具，使他们能够对正常和紊乱的大脑功能进行创新，最先进，高影响力的研究。