Metaphor processing is influenced by stimulus emotionality and task demands: Evidence from ERPs.

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Brain and Language Pub Date : 2025-02-01 Epub Date: 2024-12-25 DOI:10.1016/j.bandl.2024.105530
Laura Baiocco, Valeria A Pfeifer, Vicky T Lai
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引用次数: 0

Abstract

Past studies showed that metaphoric expressions (e.g., "she was cold to him") require more cognitive-neural effort than literal paraphrases (e.g., "she was indifferent to him"). In event-related potentials (ERP) studies, this was revealed as an N400, a late positivity (LP), and/or a late negativity (LN). We investigated whether stimulus emotionality and task demands influence these ERP correlates and metaphor processing. In Experiment 1, participants read emotional/neutral metaphorical/literal sentences and performed a sensicality judgement task. Emotional metaphors, in comparison to emotional literal sentences, showed a widespread N400 effect (300-450 ms) and a left-anterior LN (450-850 ms). In Experiment 2, participants simply read the sentences and participation was verified by occasional post-trial comprehension questions. Emotional metaphors elicited a more positive LP (450-850 ms) than emotional literal sentences. Findings indicate that stimulus emotionality and task demand co-determine the extent to which emotion- and semantic- related neural resources are recruited during metaphor comprehension.

隐喻加工受刺激情绪和任务需求的影响:来自erp的证据。
过去的研究表明,隐喻表达(例如,“她对他很冷淡”)比字面释义(例如,“她对他漠不关心”)需要更多的认知神经努力。在事件相关电位(ERP)研究中,这被揭示为N400,晚期阳性(LP)和/或晚期阴性(LN)。我们研究了刺激情绪和任务要求是否影响ERP相关和隐喻加工。在实验1中,参与者阅读情绪性/中性性隐喻性/字面性句子,并执行一项感性判断任务。与情绪性文字句子相比,情感隐喻表现出广泛的N400效应(300-450毫秒)和左前LN效应(450-850毫秒)。在实验2中,参与者简单地阅读句子,并通过偶尔的试后理解问题来验证参与者的参与。情感隐喻比情感字面句子更能诱发积极的LP (450-850 ms)。结果表明,刺激情绪和任务需求共同决定了隐喻理解过程中情绪和语义相关神经资源的调集程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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