The bidirectional influence between emotional language and inhibitory control in Chinese: An ERP study

IF 2.1 2区心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY

Brain and Language Pub Date : 2024-08-17 DOI:10.1016/j.bandl.2024.105457

Huili Wang , Xiaobing Sun , Xueyan Li , Beixian Gu , Yang Fu , Wenyu Liu

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引用次数: 0

Abstract

The bidirectional influence between emotional language and inhibitory processes has been studied in alphabetic languages, highlighting the need for additional investigation in nonalphabetic languages to explore potential cross-linguistic differences. The present ERP study investigated the bidirectional influence in the context of Mandarin, a language with unique linguistic features and neural substrates. In Experiment 1, emotional adjectives preceded the Go/NoGo cue. The ERPs revealed that negative emotional language facilitated inhibitory control. In Experiment 2, with a Go/NoGo cue preceding the emotional language, the study confirmed that inhibitory control facilitated the semantic integration of negative language in Chinese, whereas the inhibited state may not affect deeper refinement of the emotional content. However, no interaction was observed in positive emotional language processing. These results suggest an interaction between inhibitory control and negative emotional language processing in Chinese, supporting the integrative emotion-cognition view.

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汉语情绪语言与抑制控制之间的双向影响：ERP研究

情感语言和抑制过程之间的双向影响已在字母语言中进行了研究，这突出表明有必要在非字母语言中进行更多调查，以探索潜在的跨语言差异。普通话是一种具有独特语言特点和神经基质的语言，本 ERP 研究调查了普通话语境中的双向影响。在实验 1 中，情绪性形容词出现在 Go/NoGo 提示之前。ERPs显示，负面情绪语言促进了抑制控制。在实验 2 中，情绪语言之前有 Go/NoGo 提示，研究证实抑制控制促进了中文负面语言的语义整合，而抑制状态可能不会影响对情绪内容的深入提炼。然而，在积极情绪语言处理中没有观察到交互作用。这些结果表明，汉语中的抑制控制与消极情绪语言处理之间存在相互作用，支持了整合性情绪认知观点。

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来源期刊

Brain and Language 医学-神经科学

CiteScore

4.50

自引率

8.00%

发文量

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.