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

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，而是鼓励研究人员继续使用现有的方法，这些方法由现有ERP分析包的内置功能支持。 ERPLAB ®直接解决这些问题。它将现有的封闭源ERP分析系统ERPSS的功能与开源EEG处理包EEGLAB相结合。EEGLAB提供了脑电处理功能，这是ERP分析的第一步和一个方便的图形用户界面（GUI）。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将为ERP研究人员常用的基本分析程序提供功能强大但易于使用的工具。它还将提供一套目前广泛使用或未充分利用的高级功能。这套基本和高级功能将大大提高ERP研究的质量和降低成本。此外，ERPLAB被设计成任何具有基本编程技能的人都可以轻松扩展。因此，用户社区将为ERPLAB的开发做出贡献，提供对ERP研究人员的各个分组非常重要的现有技术的实现，并允许开发和传播可以推进最新技术水平的新工具。ERPLAB的测试版现在可用，拟议项目的目标是继续开发该软件，并提供必要的文件和最终用户支助，以最大限度地发挥该软件包的效用。超过500名研究人员已经加入了我们的工作，我们预计到拟议项目期结束时至少有2,000名用户。通过为这一大批用户提供强大的处理工具，我们希望改善对当前实验范式数据的分析，并帮助研究人员通过使他们能够轻松开发当前ERP分析系统所未预期的分析工具来推动科学的边界。 公共卫生相关性： 该项目开发的软件将使研究人员能够更准确地量化和解释基础科学研究中健康个体和转化科学研究中患者记录的脑波数据。它将使对正常和异常脑功能的研究进展更快，从而更好地理解，诊断和治疗精神和大脑疾病。

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 ERP analysis packages. ERPLAB Toolbox directly addresses these problems. It merges the functionality of an existing closed source ERP analysis system, ERPSS, with an open source EEG processing package, EEGLAB. EEGLAB provides the EEG processing functions that are the first steps in ERP analysis and a convenient graphical user interface (GUI). 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 will provide powerful but easy-to-use tools for the basic analysis procedures that are commonly used by ERP researchers. It will also provide a set of advanced functions that are either currently in widespread use or are underutilized. This set of basic and advanced functions will greatly improve the quality and decrease the cost of ERP research. In addition, ERPLAB is designed to be easily extended by anyone with rudimentary programming skills. The community of users will therefore contribute to the development of ERPLAB, providing implementations of existing techniques that are very important to various subgroups of ERP researchers and allowing the development and dissemination of new tools that can advance the state of the art. A beta version of ERPLAB is now available, and the goal of the proposed project is to continue the development of the software and to provide the documentation and end-user support that is necessary to maximize the usefulness of the package. Over 500 researchers have already joined our effort, and we anticipate at least 2,000 users by the end of the proposed project period. By providing powerful processing tools to this large set of users, we hope to improve the analysis of data from current experimental paradigms and to help researchers to push the boundaries of science by making it easy for them to develop analysis tools that are not anticipated by current ERP analysis systems. PUBLIC HEALTH RELEVANCE: This software developed in this project will allow researchers to more accurately quantify and interpret brainwave data recorded from healthy individuals in basic science studies and from patients in translational science studies. It will allow research on normal and abnormal brain function to progress more rapidly, leading to a better understanding, diagnosis, and treatment of diseases of mind and brain.