Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG.
Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG.
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DOI：
10.3389/fninf.2016.00042
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发表时间：
2016
影响因子：
3.5
通讯作者：
Robbins KA
中科院分区：
文献类型：
--
作者：
Bigdely-Shamlo N;Cockfield J;Makeig S;Rognon T;La Valle C;Miyakoshi M;Robbins KA
真实世界的脑成像脑电图需要准确的注释复杂的主体-环境的相互作用，在事件丰富的任务和范例。本文介绍了系统地描述实验室和现实世界的事件的分层事件描述符（HED）系统的演变。HED版本2，首先在这里描述，提供了描述各种主题和环境状态的语义能力。HED描述可以包括屏幕上或虚拟世界中的刺激呈现事件、在真实的世界环境中发生的实验或自发事件、以及经由一个或多个感觉模态经历的事件。此外，HED 2可以区分对象的单纯存在和受试者对其的实际（或推定）感知。尽管HED框架具有隐式本体论和链接数据表示，但HED注释的用户界面比传统本体论注释更直观。我们认为，隐藏的正式表示允许一个更友好的用户界面，使一致的，详细的标记的实验，和现实世界的事件可能为研究用户。HED是可扩展的，同时保留了具有强制通用核心词汇表的优势。我们已经开发了一系列工具来支持HED标签分配和验证;这些工具可在hedtags.org上获得。EEGLAB插件（sccn.ucsd.edu/eeglab）CTAGGER也可用于加快标记现有研究的过程。
Real-world brain imaging by EEG requires accurate annotation of complex subject-environment interactions in event-rich tasks and paradigms. This paper describes the evolution of the Hierarchical Event Descriptor (HED) system for systematically describing both laboratory and real-world events. HED version 2, first described here, provides the semantic capability of describing a variety of subject and environmental states. HED descriptions can include stimulus presentation events on screen or in virtual worlds, experimental or spontaneous events occurring in the real world environment, and events experienced via one or multiple sensory modalities. Furthermore, HED 2 can distinguish between the mere presence of an object and its actual (or putative) perception by a subject. Although the HED framework has implicit ontological and linked data representations, the user-interface for HED annotation is more intuitive than traditional ontological annotation. We believe that hiding the formal representations allows for a more user-friendly interface, making consistent, detailed tagging of experimental, and real-world events possible for research users. HED is extensible while retaining the advantages of having an enforced common core vocabulary. We have developed a collection of tools to support HED tag assignment and validation; these are available at hedtags.org. A plug-in for EEGLAB (sccn.ucsd.edu/eeglab), CTAGGER, is also available to speed the process of tagging existing studies.
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影响因子：
3.5
作者：
Poldrack RA;Kittur A;Kalar D;Miller E;Seppa C;Gil Y;Parker DS;Sabb FW;Bilder RM
通讯作者：
Bilder RM
影响因子：
3.5
作者：
Poldrack RA;Barch DM;Mitchell JP;Wager TD;Wagner AD;Devlin JT;Cumba C;Koyejo O;Milham MP
通讯作者：
Milham MP
影响因子：
3
作者：
Turner JA;Laird AR
通讯作者：
Laird AR
影响因子：
3.5
作者：
Scott A;Courtney W;Wood D;de la Garza R;Lane S;King M;Wang R;Roberts J;Turner JA;Calhoun VD
通讯作者：
Calhoun VD
影响因子：
3.5
作者：
Larson SD;Martone ME
通讯作者：
Martone ME