{"title":"识别内心发音的情感成分:EEG-ERP 研究","authors":"Ivanov Viacheslav, Vartanov Alexander","doi":"10.1016/j.cogsys.2024.101287","DOIUrl":null,"url":null,"abstract":"<div><div>The article discusses the problems of identifying the emotional component of inner pronunciation using psychophysiological methods. In the course of preliminary analysis, P200, N400 and LPC were identified, associated with various parameters of prosody regulation during inner pronunciation. An experimental study of inner pronunciation using event-related potentials from EEG was conducted to isolate these components. In addition, a new method of localizing sources of activity using EEG “virtually implanted electrode” was applied in order to study possible sources of the isolated components. The results show the connection of EEG components with various characteristics of prosody (P200 − the beginning of prosody encoding, N400 − the valence of the emotion, LPC − the intensity of the emotion). Based on the results, the participation of various brain structures in the generation of each of the components was also analyzed.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"88 ","pages":"Article 101287"},"PeriodicalIF":2.1000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of the emotional component of inner pronunciation: EEG-ERP study\",\"authors\":\"Ivanov Viacheslav, Vartanov Alexander\",\"doi\":\"10.1016/j.cogsys.2024.101287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The article discusses the problems of identifying the emotional component of inner pronunciation using psychophysiological methods. In the course of preliminary analysis, P200, N400 and LPC were identified, associated with various parameters of prosody regulation during inner pronunciation. An experimental study of inner pronunciation using event-related potentials from EEG was conducted to isolate these components. In addition, a new method of localizing sources of activity using EEG “virtually implanted electrode” was applied in order to study possible sources of the isolated components. The results show the connection of EEG components with various characteristics of prosody (P200 − the beginning of prosody encoding, N400 − the valence of the emotion, LPC − the intensity of the emotion). Based on the results, the participation of various brain structures in the generation of each of the components was also analyzed.</div></div>\",\"PeriodicalId\":55242,\"journal\":{\"name\":\"Cognitive Systems Research\",\"volume\":\"88 \",\"pages\":\"Article 101287\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Systems Research\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389041724000810\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Systems Research","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389041724000810","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Identification of the emotional component of inner pronunciation: EEG-ERP study
The article discusses the problems of identifying the emotional component of inner pronunciation using psychophysiological methods. In the course of preliminary analysis, P200, N400 and LPC were identified, associated with various parameters of prosody regulation during inner pronunciation. An experimental study of inner pronunciation using event-related potentials from EEG was conducted to isolate these components. In addition, a new method of localizing sources of activity using EEG “virtually implanted electrode” was applied in order to study possible sources of the isolated components. The results show the connection of EEG components with various characteristics of prosody (P200 − the beginning of prosody encoding, N400 − the valence of the emotion, LPC − the intensity of the emotion). Based on the results, the participation of various brain structures in the generation of each of the components was also analyzed.
期刊介绍:
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.
The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.
Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.