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Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments

Extraction and analysis of the EEG (electroencephalograph) information features generated during behavioral decision-making can provide a better understanding of the state of mind. Previous studies have focused more on the brainwave features after behavioral decision-making. In fact, the EEG before...

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Detalles Bibliográficos
Autores principales: Shen, Jiaquan, Liu, Ningzhong, Li, Deguang, Zhang, Binbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307401/
https://www.ncbi.nlm.nih.gov/pubmed/35874640
http://dx.doi.org/10.1155/2022/3070608
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author Shen, Jiaquan
Liu, Ningzhong
Li, Deguang
Zhang, Binbin
author_facet Shen, Jiaquan
Liu, Ningzhong
Li, Deguang
Zhang, Binbin
author_sort Shen, Jiaquan
collection PubMed
description Extraction and analysis of the EEG (electroencephalograph) information features generated during behavioral decision-making can provide a better understanding of the state of mind. Previous studies have focused more on the brainwave features after behavioral decision-making. In fact, the EEG before decision-making is more worthy of our attention. In this study, we introduce a new index based on the reaction time of subjects before decision-making, called the Prestimulus Time (PT), which have important reference value for the study of cognitive function, neurological diseases, and other fields. In our experiments, we use a wearable EEG feature signal acquisition device and a systematic reward and punishment experiment to obtain the EEG features before and after behavioral decision-making. The experimental results show that the EEG generated after behavioral decision due to loss is more intense than that generated by gain in the medial frontal cortex (MFC). In addition, different characteristics of EEG signals are generated prior to behavioral decisions because people have different expectations of the outcome. It will produce more significant negative-polarity event-related potential (ERP) in the forebrain area when the humans are optimistic about the outcomes.
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spelling pubmed-93074012022-07-23 Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments Shen, Jiaquan Liu, Ningzhong Li, Deguang Zhang, Binbin Behav Neurol Research Article Extraction and analysis of the EEG (electroencephalograph) information features generated during behavioral decision-making can provide a better understanding of the state of mind. Previous studies have focused more on the brainwave features after behavioral decision-making. In fact, the EEG before decision-making is more worthy of our attention. In this study, we introduce a new index based on the reaction time of subjects before decision-making, called the Prestimulus Time (PT), which have important reference value for the study of cognitive function, neurological diseases, and other fields. In our experiments, we use a wearable EEG feature signal acquisition device and a systematic reward and punishment experiment to obtain the EEG features before and after behavioral decision-making. The experimental results show that the EEG generated after behavioral decision due to loss is more intense than that generated by gain in the medial frontal cortex (MFC). In addition, different characteristics of EEG signals are generated prior to behavioral decisions because people have different expectations of the outcome. It will produce more significant negative-polarity event-related potential (ERP) in the forebrain area when the humans are optimistic about the outcomes. Hindawi 2022-07-15 /pmc/articles/PMC9307401/ /pubmed/35874640 http://dx.doi.org/10.1155/2022/3070608 Text en Copyright © 2022 Jiaquan Shen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shen, Jiaquan
Liu, Ningzhong
Li, Deguang
Zhang, Binbin
Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments
title Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments
title_full Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments
title_fullStr Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments
title_full_unstemmed Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments
title_short Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments
title_sort behavioral analysis of eeg signals in loss-gain decision-making experiments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307401/
https://www.ncbi.nlm.nih.gov/pubmed/35874640
http://dx.doi.org/10.1155/2022/3070608
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