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Predicting the behavioural tendency of loss aversion
Loss aversion manifests itself in rejecting a gamble of gaining or losing the same amount of money with equal chance. Although loss aversion is a well-known and intensively studied phenomenon, whether individual differences in behavioural loss aversion can be predicted using scalp potentials (EEG) r...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430803/ https://www.ncbi.nlm.nih.gov/pubmed/30903003 http://dx.doi.org/10.1038/s41598-019-41242-w |
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author | Zeng, Jianmin Wang, Yujiao Zeng, Jing Cao, Zhipeng Chen, Hong Liu, Yijun Zhang, Qinglin Su, Li |
author_facet | Zeng, Jianmin Wang, Yujiao Zeng, Jing Cao, Zhipeng Chen, Hong Liu, Yijun Zhang, Qinglin Su, Li |
author_sort | Zeng, Jianmin |
collection | PubMed |
description | Loss aversion manifests itself in rejecting a gamble of gaining or losing the same amount of money with equal chance. Although loss aversion is a well-known and intensively studied phenomenon, whether individual differences in behavioural loss aversion can be predicted using scalp potentials (EEG) remains unclear. The current study measured scalp potential when subjects played a series of fair coin-toss games in three situations (high, medium and low loss conditions). We found that most people chose to bet in the low loss condition and avoided to bet in the high loss condition. However, their betting behaviour in the medium loss condition was variable, reflecting their different behavioural tendency of loss aversion. We found that late positive complex (LPC) significantly increased when subjects accepted gambles in the low loss condition (implying potential loss), relative to when they rejected gambles in the high loss condition (implying no gain and no loss), which is consistent with the previous finding that emotional stimuli can induce enhanced LPC. We further found that the difference in the scalp potentials from the above two conditions could predict behavioural tendency of loss aversion in the medium loss condition across subjects. This result demonstrated how behavioural tendency in a situation can be predicted using EEG from other situations. |
format | Online Article Text |
id | pubmed-6430803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64308032019-03-29 Predicting the behavioural tendency of loss aversion Zeng, Jianmin Wang, Yujiao Zeng, Jing Cao, Zhipeng Chen, Hong Liu, Yijun Zhang, Qinglin Su, Li Sci Rep Article Loss aversion manifests itself in rejecting a gamble of gaining or losing the same amount of money with equal chance. Although loss aversion is a well-known and intensively studied phenomenon, whether individual differences in behavioural loss aversion can be predicted using scalp potentials (EEG) remains unclear. The current study measured scalp potential when subjects played a series of fair coin-toss games in three situations (high, medium and low loss conditions). We found that most people chose to bet in the low loss condition and avoided to bet in the high loss condition. However, their betting behaviour in the medium loss condition was variable, reflecting their different behavioural tendency of loss aversion. We found that late positive complex (LPC) significantly increased when subjects accepted gambles in the low loss condition (implying potential loss), relative to when they rejected gambles in the high loss condition (implying no gain and no loss), which is consistent with the previous finding that emotional stimuli can induce enhanced LPC. We further found that the difference in the scalp potentials from the above two conditions could predict behavioural tendency of loss aversion in the medium loss condition across subjects. This result demonstrated how behavioural tendency in a situation can be predicted using EEG from other situations. Nature Publishing Group UK 2019-03-22 /pmc/articles/PMC6430803/ /pubmed/30903003 http://dx.doi.org/10.1038/s41598-019-41242-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zeng, Jianmin Wang, Yujiao Zeng, Jing Cao, Zhipeng Chen, Hong Liu, Yijun Zhang, Qinglin Su, Li Predicting the behavioural tendency of loss aversion |
title | Predicting the behavioural tendency of loss aversion |
title_full | Predicting the behavioural tendency of loss aversion |
title_fullStr | Predicting the behavioural tendency of loss aversion |
title_full_unstemmed | Predicting the behavioural tendency of loss aversion |
title_short | Predicting the behavioural tendency of loss aversion |
title_sort | predicting the behavioural tendency of loss aversion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430803/ https://www.ncbi.nlm.nih.gov/pubmed/30903003 http://dx.doi.org/10.1038/s41598-019-41242-w |
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