Share:
Share this content in WeChat
X
Clinical Article
The effect of social evaluation threats on decision-making in social dilemmas: a rs-fMRI study
CHEN Zhuo  LIU Zhi-yuan  ZHENG Li  NING Rui-peng  GUO Xiu-yan 

DOI:10.12015/issn.1674-8034.2018.05.007.


[Abstract] Objective: To study the neural basis of individual differences in the effect of social evaluation threats on decision-making in social dilemmas, we used a modified prisoner's dilemmas (PD) with resting-state functional magnetic resonance imaging (RS-fMRI) technology.Materials and Methods: Sixty healthy volunteers took part in the study and were randomly divided into a threat group and a non-threat group. Participants were asked to provide their photos, which would be evaluated by strangers. The evaluations received by the threat group were mostly negative while the evaluations received by the non-threat group were mostly positive. The experiment was divided into three blocks. In each block, participants were informed of the feedback of the social evaluations, and then completed the one-shot prisoner's dilemma with different people. They needed to choose whether to cooperate with their partners or not in the prisoner's dilemma, and their remuneration would be determined by the outcomes. Cooperation rates in the prisoner's dilemma were used to explore the effect of social evaluation threats on decision-making in social dilemma. A toolbox for data processing & analysis for brain imaging (DPABI) was used to process the RS-fMRI data. This research performed correlation analysis between cooperation rates and regional homogeneity (ReHo) as well as that between cooperation rates and amplitude of low frequency fluctuation (ALFF).Results: The total cooperation rates and the third block's cooperation rates of the threat group were negatively correlated with the ALFF values of striatum, the ReHo values and the ALFF values of orbitofrontal cortex.Conclusions: It was indicated that the activities of the orbitofrontal cortex and the striatum in the resting state were related to the cooperative behavior in social dilemma after evaluation of social threats.
[Keywords] Social evaluation threats;Prisoner’s dilemma;Cooperation rates;Magnetic resonance imaging;regional homogeneity;low-frequency fluctuation

CHEN Zhuo School of physics and Materials Science, East China Normal University, Shanghai 200062, China; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China

LIU Zhi-yuan School of physics and Materials Science, East China Normal University, Shanghai 200062, China; Shanghai Key Laboratory of Magnetic Resonance, 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

NING Rui-peng* School of physics and Materials Science, East China Normal University, Shanghai 200062, China; Shanghai Key Laboratory of Magnetic Resonance, 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: Ning RP, E-mail: rpning@phy.ecnu.edu.cn. Guo XY, E-mail: xyguo@psy.ecnu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This research was supported by the Key Program of the National Social Science Foundation of China 14AZD106 Shanghai Municipality Natural Science Fund 14ZR1411300
Received  2018-02-01
Accepted  2018-04-05
DOI: 10.12015/issn.1674-8034.2018.05.007
DOI:10.12015/issn.1674-8034.2018.05.007.

[1]
Van Lange PA, Joireman J, Parks CD, et al. The psychology of social dilemmas: a review. Organ Behav Hum Decis Process, 2013, 120(2): 125-141.
[2]
Kollock P. Social dilemmas: the anatomy of cooperation. Annu Rev Sociol, 1998, 24(1): 183-214.
[3]
Fehr E, Fischbacher U, Gächter S. Strong reciprocity, human cooperation and the enforcement of social norms. Human Nature, 2002, 13(1): 1-25.
[4]
Hughes BL, Beer JS. Protecting the self: the effect of social-evaluative threat on neural representations of self. J Cogn Neurosci, 2013, 25(4): 613-622.
[5]
Canessa N, Crespi C, Motterlini M, et al. The functional and structural neural basis of individual differences in loss aversion. J Neurosci, 2013, 33(36): 14307-14317.
[6]
Bublatzky F, Alpers GW, Pittig A. From avoidance to approach: the influence of threat-of-shock on reward-based decision making. Behav Res Ther, 2017, 96:47-56.
[7]
Sescousse G, Caldu X, Segura B, et al. Processing of primary and secondary rewards: a quantitative meta-analysis and review of human functional neuroimaging studies. Neurosci Biobehav Rev, 2013, 37(4): 681-696.
[8]
Izuma K, Saito DN, Sadato N. Processing of the incentive for social approval in the ventral striatum during charitable donation. J Cogn Neurosci, 2010, 22(4): 621-631.
[9]
Krain AL, Wilson AM, Arbuckle R, et al. Distinct neural mechanisms of risk and ambiguity: a meta-analysis of decision-making. Neuroimage, 2006, 32(1): 477-484.
[10]
Padoa-schioppa C, Conen KE. Orbitofrontal cortex: a neural circuit for economic decisions. Neuron, 2017, 96(4): 736-754.
[11]
Liu ZY, Li L, Zheng L, et al. The neural basis of regret and relief during a sequential risk-taking task. Neuroscience, 2016, 327: 136-145.
[12]
O'Doherty JP. Reward representations and reward-related learning in the human brain: Insights from neuroimaging. Curr Opin Neurobiol, 2004, 14(6): 769-776.
[13]
Liu ZY, Li L, Zheng L, et al. Attentional deployment impacts neural response to regret. Sci Rep, 2017, 7: 41374.
[14]
Rilling JK, Sanfey AG, Aronson JA, et al. Opposing BOLD responses to reciprocated and unreciprocated altruism in putative reward pathways. Neuroreport, 2004, 15 (16): 2539-2543.
[15]
Rilling JK, Gutman DA, Zeh TR, et al. A neural basis for social cooperation. Neuron, 2002, 35(2): 395-405.
[16]
Liu CC, Chen ZC, Wang T, et al. Predicting stroop effect from spontaneous neuronal activity: a study of regional homogeneity. PloS one, 2015, 10(5): e0124405.
[17]
Liu XJ, Qian WS, Jin RC, et al. Amplitude of low frequency fluctuation (ALFF) in the cervical spinal cord with stenosis: a resting state fMRI study. PloS One, 2016, 11(12): e0167279.
[18]
Fox MD, Raichle ME. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci, 2007, 8(9): 700-711.
[19]
Zang Y, Jiang T, Lu Y, et al. Regional homogeneity approach to fMRI data analysis. Neuroimage, 2004, 22(1): 394-400.
[20]
Han Y, Wang JH, Zhao ZL, et al. Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study. Neuroimage, 2011, 55(1): 287-295.
[21]
O'Doherty JP. Reward representations and reward-related learning in the human brain: insights from neuroimaging. Curr Opin Neurobiol, 2004, 14(6): 769-776.
[22]
Goldstein RZ, Tomasi D, Alia-Klein N, et al. Subjective sensitivity to monetary gradients is associated with frontolimbic activation to reward in cocaine abusers. Drug Alcohol Depend, 2007, 87(2-3): 233-240.
[23]
Izuma K, Saito DN, Sadato N. Processing of social and monetary rewards in the human striatum. Neuron, 2008, 58(2): 284-294.
[24]
Tom SM, Fox CR, Trepel C, et al. The neural basis of loss aversion in decision-making under risk. Science, 2007, 315(5811): 515-518.
[25]
Delgado MR. Reward-related responses in the human striatum. Ann N Y Acad Sci, 2007, 1104(1): 70-88.
[26]
Harbaugh WT, Mayr U, Burghart DR. Neural responses to taxation and voluntary giving reveal motives for charitable donations. Science, 2007, 316(5831): 1622-1625.

PREV Investigation of correlation between IVIM and DCE-MRI on uterine cervical carcinoma
NEXT The interpretation of a consensus statement for parametric mapping techniques with cardiovascular magnetic resonance by SCMR in 2017
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn