PSYCH OpenIR  > 中国科学院行为科学重点实验室
Separate Neural Networks for Gains and Losses in Intertemporal Choice
Zhang, Yang-Yang1; Xu, Lijuan2,3; Liang, Zhu-Yuan4,5; Wang, Kun2; Hou, Bing2,3; Zhou, Yuan4,5; Li, Shu4,5,6; Jiang, Tianzi2,3,7,8
First AuthorYang-Yang Zhang
2018-10-01
Source PublicationNEUROSCIENCE BULLETIN
Correspondent Emaillishu@psych.ac.cn ; jiangtz@nlpr.ia.ac.cn
ISSN1673-7067
Volume34Issue:5Pages:725-735
Abstract

An important and unresolved question is how human brain regions process information and interact with each other in intertemporal choice related to gains and losses. Using psychophysiological interaction and dynamic causal modeling analyses, we investigated the functional interactions between regions involved in the decision-making process while participants performed temporal discounting tasks in both the gains and losses domains. We found two distinct intrinsic valuation systems underlying temporal discounting in the gains and losses domains: gains were specifically evaluated in the medial regions, including the medial prefrontal and orbitofrontal cortices, and losses were evaluated in the lateral dorsolateral prefrontal cortex. In addition, immediate reward or punishment was found to modulate the functional interactions between the dorsolateral prefrontal cortex and distinct regions in both the gains and losses domains: in the gains domain, the mesolimbic regions; in the losses domain, the medial prefrontal cortex, anterior cingulate cortex, and insula. These findings suggest that intertemporal choice of gains and losses might involve distinct valuation systems, and more importantly, separate neural interactions may implement the intertemporal choices of gains and losses. These findings may provide a new biological perspective for understanding the neural mechanisms underlying intertemporal choice of gains and losses.

KeywordIntertemporal Choice Discounting Losses Effective Connectivity Dynamic Causal Model Dorsolateral Prefrontal Cortex Insula
DOI10.1007/s12264-018-0267-x
Language英语
Funding OrganizationNational Natural Science Foundation of China ; Science Frontier Program of the Chinese Academy of Sciences ; Shenzhen Peacock Plan ; Guangdong Pearl River Talents Plan Innovative and Entrepreneurial Team ; CAS Key Laboratory of Behavioral Science, Institute of Psychology
Funding ProjectNational Natural Science Foundation of China[71471171] ; National Natural Science Foundation of China[71071150] ; National Natural Science Foundation of China[91432302] ; National Natural Science Foundation of China[31620103905] ; National Natural Science Foundation of China[31471005] ; National Natural Science Foundation of China[71761167001] ; Science Frontier Program of the Chinese Academy of Sciences[QYZDJ-SSW-SMC019] ; Shenzhen Peacock Plan[KQTD2015033016104926] ; Guangdong Pearl River Talents Plan Innovative and Entrepreneurial Team[2016ZT06S220] ; CAS Key Laboratory of Behavioral Science, Institute of Psychology[Y5CX052003]
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000444005200002
PublisherSPRINGER
WOS KeywordEconomic Decision-making ; Orbitofrontal Cortex ; Prefrontal Cortex ; Impulsive Choice ; Functional Connectivity ; Anterior Cingulate ; Monetary Gains ; Basal Ganglia ; Self-control ; Human Brain
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26957
Collection中国科学院行为科学重点实验室
Corresponding AuthorLi, Shu; Jiang, Tianzi
Affiliation1.Shaanxi Normal Univ, Sch Psychol, Xian 710062, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
4.Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China
5.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China
6.Zhejiang Univ, Dept Psychol & Behav Sci, Hangzhou 310028, Zhejiang, Peoples R China
7.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China
8.Univ Elect Sci & Technol China, MOE Key Lab Neuroinformat, Chengdu Brain Sci Inst, Clin Hosp, Chengdu 610054, Sichuan, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Yang-Yang,Xu, Lijuan,Liang, Zhu-Yuan,et al. Separate Neural Networks for Gains and Losses in Intertemporal Choice[J]. NEUROSCIENCE BULLETIN,2018,34(5):725-735.
APA Zhang, Yang-Yang.,Xu, Lijuan.,Liang, Zhu-Yuan.,Wang, Kun.,Hou, Bing.,...&Jiang, Tianzi.(2018).Separate Neural Networks for Gains and Losses in Intertemporal Choice.NEUROSCIENCE BULLETIN,34(5),725-735.
MLA Zhang, Yang-Yang,et al."Separate Neural Networks for Gains and Losses in Intertemporal Choice".NEUROSCIENCE BULLETIN 34.5(2018):725-735.
Files in This Item:
File Name/Size DocType Version Access License
Separate Neural Netw(1690KB)期刊论文出版稿限制开放CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Yang-Yang]'s Articles
[Xu, Lijuan]'s Articles
[Liang, Zhu-Yuan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Yang-Yang]'s Articles
[Xu, Lijuan]'s Articles
[Liang, Zhu-Yuan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Yang-Yang]'s Articles
[Xu, Lijuan]'s Articles
[Liang, Zhu-Yuan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Separate Neural Networks for Gains and Losses in Intertemporal Choice.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.