Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study
It is common for people to make bad decisions because of their emotions in life. When these decisions are important, such as aeronautical decisions and driving decisions, the mistakes of decisions can cause irreversible damage. Therefore, it is important to explore how emotions influence decision-ma...
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Frontiers Media S.A.
2022-09-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.989988/full |
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author | Yanyan Zhao Yanyan Zhao Danli Wang Danli Wang Xinyuan Wang Xinyuan Wang Steve C. Chiu |
author_facet | Yanyan Zhao Yanyan Zhao Danli Wang Danli Wang Xinyuan Wang Xinyuan Wang Steve C. Chiu |
author_sort | Yanyan Zhao |
collection | DOAJ |
description | It is common for people to make bad decisions because of their emotions in life. When these decisions are important, such as aeronautical decisions and driving decisions, the mistakes of decisions can cause irreversible damage. Therefore, it is important to explore how emotions influence decision-making, so as to avoid the negative influence of emotions on decision-making as much as possible. Although existing researchers have found some mechanisms of emotion's influence on decision-making, only a few studies focused on the influence of emotions on decision-making based on electroencephalography (EEG). In addition, most of them were focused on risky and uncertain decision-making. We designed a novel experimental task to explore the influence of emotion on spatial decision-making and recorded subjective data, decision-making behavioral data, and EEG data. By analyzing these data, we came to three conclusions. Firstly, we observed three similar event-related potentials (ERP) microstates in the decision-making process under different emotions by microstate analysis. Additionally, the prefrontal, parietal and occipital lobes played key roles in decision-making. Secondly, we found that the P2 component of the prefrontal lobe presented the influence of different emotions on decision-making by ERP analysis. Among them, positive emotion evoked the largest P2 amplitude compared to negative emotions and no stimuli. Thirdly, we found some graph metrics that were significantly associated with decision accuracy by effective connectivity analysis combined with graph theoretic analysis. In consequence, the finding of our study may shed more light on the brain mechanisms underlying the influence of emotions on spatial decision-making, thereby providing a basis for avoiding decision-making accidents caused by emotions and realizing better decision-making. |
first_indexed | 2024-04-12T16:56:31Z |
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id | doaj.art-42d08263b7064e59b8e4d63016924e38 |
institution | Directory Open Access Journal |
issn | 1662-453X |
language | English |
last_indexed | 2024-04-12T16:56:31Z |
publishDate | 2022-09-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Neuroscience |
spelling | doaj.art-42d08263b7064e59b8e4d63016924e382022-12-22T03:24:12ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-09-011610.3389/fnins.2022.989988989988Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG studyYanyan Zhao0Yanyan Zhao1Danli Wang2Danli Wang3Xinyuan Wang4Xinyuan Wang5Steve C. Chiu6State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, ChinaECE Department, Idaho State University, Pocatello, ID, United StatesIt is common for people to make bad decisions because of their emotions in life. When these decisions are important, such as aeronautical decisions and driving decisions, the mistakes of decisions can cause irreversible damage. Therefore, it is important to explore how emotions influence decision-making, so as to avoid the negative influence of emotions on decision-making as much as possible. Although existing researchers have found some mechanisms of emotion's influence on decision-making, only a few studies focused on the influence of emotions on decision-making based on electroencephalography (EEG). In addition, most of them were focused on risky and uncertain decision-making. We designed a novel experimental task to explore the influence of emotion on spatial decision-making and recorded subjective data, decision-making behavioral data, and EEG data. By analyzing these data, we came to three conclusions. Firstly, we observed three similar event-related potentials (ERP) microstates in the decision-making process under different emotions by microstate analysis. Additionally, the prefrontal, parietal and occipital lobes played key roles in decision-making. Secondly, we found that the P2 component of the prefrontal lobe presented the influence of different emotions on decision-making by ERP analysis. Among them, positive emotion evoked the largest P2 amplitude compared to negative emotions and no stimuli. Thirdly, we found some graph metrics that were significantly associated with decision accuracy by effective connectivity analysis combined with graph theoretic analysis. In consequence, the finding of our study may shed more light on the brain mechanisms underlying the influence of emotions on spatial decision-making, thereby providing a basis for avoiding decision-making accidents caused by emotions and realizing better decision-making.https://www.frontiersin.org/articles/10.3389/fnins.2022.989988/fullemotiondecision-makingspatial taskelectroencephalography (EEG)microstate analysiseffective connectivity analysis |
spellingShingle | Yanyan Zhao Yanyan Zhao Danli Wang Danli Wang Xinyuan Wang Xinyuan Wang Steve C. Chiu Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study Frontiers in Neuroscience emotion decision-making spatial task electroencephalography (EEG) microstate analysis effective connectivity analysis |
title | Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study |
title_full | Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study |
title_fullStr | Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study |
title_full_unstemmed | Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study |
title_short | Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study |
title_sort | brain mechanisms underlying the influence of emotions on spatial decision making an eeg study |
topic | emotion decision-making spatial task electroencephalography (EEG) microstate analysis effective connectivity analysis |
url | https://www.frontiersin.org/articles/10.3389/fnins.2022.989988/full |
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