Spatiotemporal characteristics of the neural representation of event concepts

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2023-10-16 DOI:10.1016/j.bandl.2023.105328
Rutvik H. Desai , Christopher T. Hackett , Karim Johari , Vicky T. Lai , Nicholas Riccardi
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Abstract

Events are a fundamentally important part of our understanding of the world. How lexical concepts denoting events are represented in the brain remains controversial. We conducted two experiments using event and object nouns matched on a range of psycholinguistic variables, including concreteness, to examine spatial and temporal characteristics of event concepts. Both experiments used magnitude and valence tasks on event and object nouns. The fMRI experiment revealed a distributed set of regions for events, including the angular gyrus, anterior temporal lobe, and posterior cingulate across tasks. In the EEG experiment, events and objects differed in amplitude within the 300–500 ms window. Together these results shed light into the spatiotemporal characteristics of event concept representation and show that event concepts are represented in the putative hubs of the semantic system. While these hubs are typically associated with object semantics, they also represent events, and have a likely role in temporal integration.

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事件概念的神经表示的时空特征。
事件是我们理解世界的重要组成部分。表示事件的词汇概念是如何在大脑中表达的,这一点仍然存在争议。我们进行了两个实验,使用在一系列心理语言学变量上匹配的事件和宾语名词,包括具体性,来检验事件概念的空间和时间特征。两个实验都对事件名词和宾语名词使用了量值和配价任务。fMRI实验揭示了一组分布的事件区域,包括角回、前颞叶和后扣带回。在脑电图实验中,事件和物体在300-500ms窗口内的振幅不同。这些结果共同揭示了事件概念表示的时空特征,并表明事件概念是在语义系统的假定中枢中表示的。虽然这些中枢通常与对象语义相关联,但它们也表示事件,并可能在时间集成中发挥作用。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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