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• Original Article •
The effect of economic status on responses to unfairness: A rs-fMRI study
ZHENG Yi-jie  XU Jia-lin  ZHENG Li  LI Lin  YANG Guang  GUO Xiu-yan 

DOI:10.12015/issn.1674-8034.2017.08.008.


[Abstract] Objective: The present resting-state functional magnetic resonance imaging (fMRI) study aimed at investigating how functional connectivity predicted the modulation of economic status on responders’ unfairness-related social decision making in a modified ultimatum game (UG).Materials and Methods: Thirty healthy volunteers engaged in the study. During the UG task, participants would be informed of the economic status of proposers (High or Low) before receiving offers from proposers, and they would decide whether to accept the offers or not. Rejection rates and fairness ratings were used to explore the effect of proposers' economic status on responses to unfairness. Data processing assistant for resting-state fMRI (DPARSF) toolbox was used to process the rs-fMRI data and calculate the functional connection values (FC) between right dorsolateral prefrontal cortex (DLPFC)/right thalamus and other voxels in the brain. Then correlation analysis was conducted to examine the relationship between FC values and rejection rates or fairness ratings.Results: When unfair offers were given by proposers in high economic status, rejection rates were negatively correlated with FC between right DLPFC and right medial prefrontal cortex (MPFC) (r=-0.80, P<0.01), and fairness ratings were negatively correlated with FC between right thalamus and left MPFC (r=-0.59, P<0.01).Conclusion: It was indicated that FC between DLPFC, thalamus and MPFC engaged in the modulation of economic status on unfairness-related social decision making.
[Keywords] Unfairness；Economic status；Ultimatum game；Magnetic resonance imaging, functional；Functional connectivity

ZHENG Yi-jie Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China; School of Physics and Materials Science, East China Normal University, Shanghai 200062, China

XU Jia-lin Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China; School of Physics and Materials Science, East China Normal University, Shanghai 200062, China

ZHENG Li* School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics, Ministry of Education, East China Normal University, Shanghai 200062, China; National Demonstration Center for Experimental Psychology Education, East China Normal University, Shanghai 200062, China

LI Lin School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; National Demonstration Center for Experimental Psychology Education, East China Normal University, Shanghai 200062, China

YANG Guang* Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China; School of Physics and Materials Science, East China Normal University, Shanghai 200062, China

GUO Xiu-yan Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China; School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics, Ministry of Education, East China Normal University, Shanghai 200062, China; National Demonstration Center for Experimental Psychology Education, East China Normal University, Shanghai 200062, China

*Correspondence to: Zheng L, E-mail: lzheng@psy.ecnu.edu.cn Yang G, E-mail: gyang@phy.ecnu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation of China No. 31271090, 71371180 the Key Program of the National Social Science Foundation of China No. 14AZD106
Received  2017-04-18
Accepted  2017-06-12
DOI: 10.12015/issn.1674-8034.2017.08.008
DOI:10.12015/issn.1674-8034.2017.08.008.

[1]
Wu Y, Zang Y, Yuan B, et al. Neural correlates of decision making after unfair treatment. Front Hum Neurosci, 2015, 9(5): 123.
[2]
Guroglu B, Van Den Bos W, Rombouts SA, et al. Unfair? It depends: Neural correlates of fairness in social context. Soc Cogn Affect Neurosci, 2010, 5(4): 414-423.
[3]
Guo X, Zheng L, Cheng X, et al. Neural responses to unfairness and fairness depend on self-contribution to the income. Soc Cogn Affect Neurosci, 2014, 9(10): 1498-1505.
[4]
Holm H, Engseld P. Choosing bargaining partners: An experimental study on the impact of information about income, status and gender. Exper Econo, 2005, 8(3): 183-216.
[5]
Haile D, Sadrieh A, Verbon HA. Cross-racial envy and underinvestment in South African partnerships. Cambridge J Econ, 2008, 32(5): 703-724.
[6]
Biswal B, Yetkin FZ, Haughton VM, et al. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med, 1995, 34(4): 537-541.
[7]
Horwitz B, Friston KJ, Taylor JG. Neural modeling and functional brain imaging: an overview. Neural Netw, 2000, 13(8-9): 829-846.
[8]
Sanfey AG, Rilling JK, Aronson JA, et al. The neural basis of economic decision-making in the ultimatum game. Science, 2003, 300(5626): 1755-1758.
[9]
Zink CF, Tong Y, Chen Q, et al. Know your place: Neural processing of social hierarchy in humans. Neuron, 2008, 58(2): 273-283.
[10]
Hu J, Blue PR, Yu H, et al. Social status modulates the neural response to unfairness. Soc Cogn Affect Neurosci, 2016, 11(1): 1-10.
[11]
Guth W, Schmittberger R, Schwarze B. An experimental-analysis of ultimatum bargaining. J Econo Behav & Organiz, 1982, 3(4): 367-388.
[12]
Adler NE, Epel ES, Castellazzo G, et al. Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy white women. Health Psychol, 2000, 19(6): 586-592.
[13]
Feng C, Luo YJ, Krueger F. Neural signatures of fairness-related normative decision making in the ultimatum game: a coordinate-based meta-analysis. Human Brain Mapping, 2015, 36(2): 591.
[14]
Frith CD, Frith U. The neural basis of mentalizing. Neuron, 2006, 50(4): 531-534.
[15]
Britton JC, Phan KL, Taylor SF, et al. Neural correlates of social and nonsocial emotions: An fMRI study. Neuroimage, 2006, 31(1): 397-409.

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