{"title":"隐喻加工受刺激情绪和任务需求的影响:来自erp的证据。","authors":"Laura Baiocco, Valeria A Pfeifer, Vicky T Lai","doi":"10.1016/j.bandl.2024.105530","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":55330,"journal":{"name":"Brain and Language","volume":"261 ","pages":"105530"},"PeriodicalIF":2.1000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metaphor processing is influenced by stimulus emotionality and task demands: Evidence from ERPs.\",\"authors\":\"Laura Baiocco, Valeria A Pfeifer, Vicky T Lai\",\"doi\":\"10.1016/j.bandl.2024.105530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":55330,\"journal\":{\"name\":\"Brain and Language\",\"volume\":\"261 \",\"pages\":\"105530\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain and Language\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1016/j.bandl.2024.105530\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/25 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain and Language","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1016/j.bandl.2024.105530","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
Metaphor processing is influenced by stimulus emotionality and task demands: Evidence from ERPs.
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.
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.