Denissen Monique, Pöll Bernhard, Robbins Kay, Makeig Scott, Hutzler Florian
Paris-Lodron-University of Salzburg, Department of Psychology, Centre for Cognitive Neuroscience, Salzburg, Austria.
Paris-Lodron-University of Salzburg, Department of Romance Studies, Salzburg, Austria.
Sci Data. 2024 Dec 23;11(1):1428. doi: 10.1038/s41597-024-04282-0.
Experimental design in language cognition research often involves presenting language material while measuring associated behavior and/or neural activity. To make the collected data easily and fully analyzable by both the original data authors and others, it is important to have detailed information about the stimulus presentation events, including the nature and properties of the presented stimuli, using a common vocabulary and syntax. We present HED LANG, a library extension of the Hierarchical Event Descriptors (HED) event annotation schema for time series behavioral and neuroimaging data. HED LANG provides an open source, standardized vocabulary for building detailed, human- and machine-actionable annotations for language cognition datasets. It builds on existing annotation systems in linguistics and is supported by a suite of HED tools for annotating, validating, searching, and characterizing HED-tagged datasets. HED LANG is specific enough to allow event data annotation at the range of levels needed to support many current research paradigms and analyses. Both HED and HED LANG are open to community input and participation, enabling them to evolve with continuing developments in language cognition research.
语言认知研究中的实验设计通常涉及在测量相关行为和/或神经活动时呈现语言材料。为了使原始数据作者和其他人都能轻松且全面地分析所收集的数据，使用通用的词汇和句法来获取有关刺激呈现事件的详细信息非常重要，这些信息包括所呈现刺激的性质和属性。我们展示了HED LANG，它是用于时间序列行为和神经成像数据的分层事件描述符（HED）事件注释模式的库扩展。HED LANG为构建针对语言认知数据集的详细、可供人类和机器操作的注释提供了一个开源的标准化词汇表。它建立在语言学中现有的注释系统之上，并由一套用于注释、验证、搜索和表征带有HED标签的数据集的HED工具提供支持。HED LANG足够具体，能够在支持许多当前研究范式和分析所需的各级别上进行事件数据注释。HED和HED LANG都接受社区的投入和参与，从而使它们能够随着语言认知研究的不断发展而演变。
