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Resting-state network predicts the decision-making behaviors of the proposer during the ultimatum game
Yuqin Li1,2; Qian Yang1,2; Yuxin Liu2; Rui Wang2; Yutong Zheng1,2; Yutong Zheng3; Yajing Si4; Lin Jiang1,2; Baodan Chen1,2; Yueheng Peng1,2; Feng Wan5; Jing Yu6; Dezhong Yao1,2,7,8; Fali Li1,2,5,7; Baoming He9,10; Peng Xu1,2,7,11,12
2023-09-11
Source PublicationJournal of Neural Engineering
ISSN1741-2560
Volume20Issue:5Pages:056003
Abstract

Objective. The decision-making behavior of the proposer is a key factor in achieving effective and equitable maintenance of social resources, particularly in economic interactions, and thus understanding the neurocognitive basis of the proposer’s decision-making is a crucial issue. Yet the neural substrate of the proposer’s decision behavior, especially from the resting-state network perspective, remains unclear. Approach. In this study, we investigated the relationship between the resting-state network and decision proposals and further established a multivariable model to predict the proposers’ unfair offer rates in the ultimatum game. Main results. The results indicated the unfair offer rates of proposers are significantly related to the resting-state frontal-occipital and frontal-parietal connectivity in the delta band, as well as the network properties. And compared to the conservative decision group (low unfair offer rate), the risk decision group (high unfair offer rate) exhibited stronger resting-state long-range linkages. Finally, the established multivariable model did accurately predict the unfair offer rates of the proposers, along with a correlation coefficient of 0.466 between the actual and predicted behaviors. Significance. Together, these findings demonstrated that related resting-state frontal-occipital and frontal-parietal connectivity may serve as a dispositional indicator of the risky behaviors for the proposers and subsequently predict a highly complex decision-making behavior, which contributed to the development of artificial intelligence decision-making system with biological characteristics as well.

KeywordDecision-making Proposer Resting-state Network Ultimatum Game Unfair Offer Rate
DOI10.1088/1741-2552/acf61e
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Neurosciences & Neurology
WOS SubjectEngineering, Biomedical ; Neurosciences
WOS IDWOS:001062646600001
PublisherIOP Publishing LtdTEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
Scopus ID2-s2.0-85170581542
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorFali Li; Baoming He; Peng Xu
Affiliation1.The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 611731, China
2.School of Life Science and Technology, Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
3.School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
4.School of Psychology, Xinxiang Medical University, Xinxiang, 453003, China
5.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao
6.Faculty of Psychology, Southwest University, Chongqing, 400715, China
7.Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, 2019RU035, China
8.School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China
9.Department of Neurology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
10.Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, 610072, China
11.Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, 610041, China
12.Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, 250012, China
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Yuqin Li,Qian Yang,Yuxin Liu,et al. Resting-state network predicts the decision-making behaviors of the proposer during the ultimatum game[J]. Journal of Neural Engineering, 2023, 20(5), 056003.
APA Yuqin Li., Qian Yang., Yuxin Liu., Rui Wang., Yutong Zheng., Yutong Zheng., Yajing Si., Lin Jiang., Baodan Chen., Yueheng Peng., Feng Wan., Jing Yu., Dezhong Yao., Fali Li., Baoming He., & Peng Xu (2023). Resting-state network predicts the decision-making behaviors of the proposer during the ultimatum game. Journal of Neural Engineering, 20(5), 056003.
MLA Yuqin Li,et al."Resting-state network predicts the decision-making behaviors of the proposer during the ultimatum game".Journal of Neural Engineering 20.5(2023):056003.
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