Qin Tao, Yajing Si, Fali Li, Keyi Duan, Yuanling Jiang, Yuanyuan Liao, D. Yao, Peng Xu
{"title":"奖赏强度的不同模式:头皮脑电图研究","authors":"Qin Tao, Yajing Si, Fali Li, Keyi Duan, Yuanling Jiang, Yuanyuan Liao, D. Yao, Peng Xu","doi":"10.1109/CIVEMSA45640.2019.9071601","DOIUrl":null,"url":null,"abstract":"Efficiently distinguishing the current feedback condition is crucial for the individual to make their following decision. An event-related potential named medial frontal negativity (MFN) has been demonstrated to be sensitive to error and gambling loss. In this study, we conducted the sample gambling game, in which subjects decide to choose one from two cards with different bets (big or small bet), and thereby two critical types of reward features: magnitude (small or large) and valence (loss or gain) were investigated. We analyzed the MFN in different feedback conditions to get insight into the differences in individual behaviors between magnitude and valence. Results of this study demonstrated that the MFN is sensitive to reward valence but insensitive to reward magnitude. Particularly, from the perspective of dynamic functional brain network, differences between small and large magnitudes were uncovered; compared to the large condition, the network pattern related to small reward involved the left central lobe (near electrode C3); whereas the large reward involved the left prefrontal lobe (near electrode Fp1) and right medial temporal lobe (near electrode T8).","PeriodicalId":293990,"journal":{"name":"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Different Patterns of Reward Magnitude: A Scalp EEG Research\",\"authors\":\"Qin Tao, Yajing Si, Fali Li, Keyi Duan, Yuanling Jiang, Yuanyuan Liao, D. Yao, Peng Xu\",\"doi\":\"10.1109/CIVEMSA45640.2019.9071601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficiently distinguishing the current feedback condition is crucial for the individual to make their following decision. An event-related potential named medial frontal negativity (MFN) has been demonstrated to be sensitive to error and gambling loss. In this study, we conducted the sample gambling game, in which subjects decide to choose one from two cards with different bets (big or small bet), and thereby two critical types of reward features: magnitude (small or large) and valence (loss or gain) were investigated. We analyzed the MFN in different feedback conditions to get insight into the differences in individual behaviors between magnitude and valence. Results of this study demonstrated that the MFN is sensitive to reward valence but insensitive to reward magnitude. Particularly, from the perspective of dynamic functional brain network, differences between small and large magnitudes were uncovered; compared to the large condition, the network pattern related to small reward involved the left central lobe (near electrode C3); whereas the large reward involved the left prefrontal lobe (near electrode Fp1) and right medial temporal lobe (near electrode T8).\",\"PeriodicalId\":293990,\"journal\":{\"name\":\"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIVEMSA45640.2019.9071601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIVEMSA45640.2019.9071601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Different Patterns of Reward Magnitude: A Scalp EEG Research
Efficiently distinguishing the current feedback condition is crucial for the individual to make their following decision. An event-related potential named medial frontal negativity (MFN) has been demonstrated to be sensitive to error and gambling loss. In this study, we conducted the sample gambling game, in which subjects decide to choose one from two cards with different bets (big or small bet), and thereby two critical types of reward features: magnitude (small or large) and valence (loss or gain) were investigated. We analyzed the MFN in different feedback conditions to get insight into the differences in individual behaviors between magnitude and valence. Results of this study demonstrated that the MFN is sensitive to reward valence but insensitive to reward magnitude. Particularly, from the perspective of dynamic functional brain network, differences between small and large magnitudes were uncovered; compared to the large condition, the network pattern related to small reward involved the left central lobe (near electrode C3); whereas the large reward involved the left prefrontal lobe (near electrode Fp1) and right medial temporal lobe (near electrode T8).