Separate Neural Networks for Gains and Losses in Intertemporal Choice

【Author】

Yang-Yang Zhang;Lijuan Xu;Zhu-Yuan Liang;Kun Wang;Bing Hou;Yuan Zhou;Shu Li;Tianzi Jiang;School of Psychology, Shaanxi Normal University;Brainnetome Center, Institute of Automation, University of Chinese Academy of Sciences;National Laboratory of Pattern Recognition, Institute of Automation, University of Chinese Academy of Sciences;CAS Key Laboratory of Behavioral Science, Institute of Psychology;Department of Psychology, University of Chinese Academy of Sciences;Department of Psychology and Behavioral Sciences, Zhejiang University;CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences;The Clinical Hospital of Chengdu Brain Science Institute,MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China;

【Institution】

School of Psychology, Shaanxi Normal University;Brainnetome Center, Institute of Automation, University of Chinese Academy of Sciences;National Laboratory of Pattern Recognition, Institute of Automation, University of Chinese Academy of Sciences;CAS Key Laboratory of Behavioral Science, Institute of Psychology;Department of Psychology, University of Chinese Academy of Sciences;Department of Psychology and Behavioral Sciences, Zhejiang University;CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences;The Clinical Hospital of Chengdu Brain Science Institute,MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China;

【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 decisionmaking 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.

【Keywords】

Intertemporal choice;;Discounting losses;;Effective connectivity;;Dynamic causal model;;Dorsolateral prefrontal cortex;;Insula

References

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Total: 74 articles

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  • [4] Joshua I. Gold;Michael N. Shadlen, The Neural Basis of Decision Making, Annual Review of Neuroscience,

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