Temporal neural dynamics of understanding communicative intentions from speech prosody
Understanding the correct intention of a speaker is critical for social interaction. Speech prosody is an important source for understanding speakers' intentions during verbal communication. However, the neural dynamics by which the human brain translates the prosodic cues into a mental represe...
| Үндсэн зохиолчид: | , , , , , |
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| Формат: | Өгүүллэг |
| Хэл сонгох: | English |
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Elsevier
2024-10-01
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| Цуврал: | NeuroImage |
| Нөхцлүүд: | |
| Онлайн хандалт: | http://www.sciencedirect.com/science/article/pii/S1053811924003276 |
| _version_ | 1827111321986924544 |
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| author | Panke Gao Zhufang Jiang Yufang Yang Yuanyi Zheng Gangyi Feng Xiaoqing Li |
| author_facet | Panke Gao Zhufang Jiang Yufang Yang Yuanyi Zheng Gangyi Feng Xiaoqing Li |
| author_sort | Panke Gao |
| collection | DOAJ |
| description | Understanding the correct intention of a speaker is critical for social interaction. Speech prosody is an important source for understanding speakers' intentions during verbal communication. However, the neural dynamics by which the human brain translates the prosodic cues into a mental representation of communicative intentions in real time remains unclear. Here, we recorded EEG (electroencephalograph) while participants listened to dialogues. The prosodic features of the critical words at the end of sentences were manipulated to signal either suggestion, warning, or neutral intentions. The results showed that suggestion and warning intentions evoked enhanced late positive event-related potentials (ERPs) compared to the neutral condition. Linear mixed-effects model (LMEM) regression and representational similarity analysis (RSA) analyses revealed that these ERP effects were distinctively correlated with prosodic acoustic analysis, emotional valence evaluation, and intention interpretation in different time windows; The onset latency significantly increased as the processing level of abstractness and communicative intentionality increased. Neural representations of intention and emotional information emerged and parallelly persisted over a long time window, guiding the correct identification of communicative intention. These results provide new insights into understanding the structural components of intention processing and their temporal neural dynamics underlying communicative intention comprehension from speech prosody in online social interactions. |
| first_indexed | 2025-03-20T11:12:20Z |
| format | Article |
| id | doaj.art-07d90be58a2742c68aadc989aeb2d01f |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2025-03-20T11:12:20Z |
| publishDate | 2024-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-07d90be58a2742c68aadc989aeb2d01f2024-09-19T10:20:00ZengElsevierNeuroImage1095-95722024-10-01299120830Temporal neural dynamics of understanding communicative intentions from speech prosodyPanke Gao0Zhufang Jiang1Yufang Yang2Yuanyi Zheng3Gangyi Feng4Xiaoqing Li5CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, ChinaCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, ChinaCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Jiangsu Collaborative Innovation Center for Language Ability, Jiangsu Normal University, Xuzhou, ChinaSchool of Psychology, Shenzhen University, Shenzhen, Guangdong, ChinaDepartment of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; Corresponding author at: Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR 999077, ChinaCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Jiangsu Collaborative Innovation Center for Language Ability, Jiangsu Normal University, Xuzhou, China; Corresponding author at: CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, No. 16 Lincui Road, Chaoyang District, Beijing 100101, China.Understanding the correct intention of a speaker is critical for social interaction. Speech prosody is an important source for understanding speakers' intentions during verbal communication. However, the neural dynamics by which the human brain translates the prosodic cues into a mental representation of communicative intentions in real time remains unclear. Here, we recorded EEG (electroencephalograph) while participants listened to dialogues. The prosodic features of the critical words at the end of sentences were manipulated to signal either suggestion, warning, or neutral intentions. The results showed that suggestion and warning intentions evoked enhanced late positive event-related potentials (ERPs) compared to the neutral condition. Linear mixed-effects model (LMEM) regression and representational similarity analysis (RSA) analyses revealed that these ERP effects were distinctively correlated with prosodic acoustic analysis, emotional valence evaluation, and intention interpretation in different time windows; The onset latency significantly increased as the processing level of abstractness and communicative intentionality increased. Neural representations of intention and emotional information emerged and parallelly persisted over a long time window, guiding the correct identification of communicative intention. These results provide new insights into understanding the structural components of intention processing and their temporal neural dynamics underlying communicative intention comprehension from speech prosody in online social interactions.http://www.sciencedirect.com/science/article/pii/S1053811924003276Communicative intentionSpeech prosodyEEGRSASocial interactions |
| spellingShingle | Panke Gao Zhufang Jiang Yufang Yang Yuanyi Zheng Gangyi Feng Xiaoqing Li Temporal neural dynamics of understanding communicative intentions from speech prosody NeuroImage Communicative intention Speech prosody EEG RSA Social interactions |
| title | Temporal neural dynamics of understanding communicative intentions from speech prosody |
| title_full | Temporal neural dynamics of understanding communicative intentions from speech prosody |
| title_fullStr | Temporal neural dynamics of understanding communicative intentions from speech prosody |
| title_full_unstemmed | Temporal neural dynamics of understanding communicative intentions from speech prosody |
| title_short | Temporal neural dynamics of understanding communicative intentions from speech prosody |
| title_sort | temporal neural dynamics of understanding communicative intentions from speech prosody |
| topic | Communicative intention Speech prosody EEG RSA Social interactions |
| url | http://www.sciencedirect.com/science/article/pii/S1053811924003276 |
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