scholarly journals Pain and social decision-making: New insights from the social framing effect

2019 ◽  
Vol 5 (4) ◽  
pp. 221-238 ◽  
Author(s):  
Ruolei Gu ◽  
Jie Liu ◽  
Fang Cui
Keyword(s):  
Decision Making ◽  
Social Life ◽  
Brain Area ◽  
Framing Effect ◽  
Neural Activation ◽  
Social Emotions ◽  
Temporoparietal Junction ◽  
Social Decision ◽  
The Social ◽  
Social Decision Making

This paper focuses on the social function of painful experience as revealed by recent studies on social decision-making. Observing others suffering from physical pain evokes empathic reactions that can lead to prosocial behavior (e.g., helping others at a cost to oneself), which might be regarded as the social value of pain derived from evolution. Feelings of guilt may also be elicited when one takes responsibility for another’s pain. These social emotions play a significant role in various cognitive processes and may affect behavioral preferences. In addition, the influence of others’ pain on decision-making is highly sensitive to social context. Combining neuroimaging techniques with a novel decision paradigm, we found that when asking participants to trade-off personal benefits against providing help to other people, verbally describing the causal relationship between their decision and other people’s pain (i.e., framing) significantly changed participants’ preferences. This social framing effect was associated with neural activation in the temporoparietal junction (TPJ), which is a brain area that is important in social cognition and in social emotions. Further, transcranial direct current stimulation (tDCS) on this region successfully modulated the magnitude of the social framing effect. These findings add to the knowledge about the role of perception of others’ pain in our social life.

scholarly journals Prosocial Influence and Opportunistic Conformity in Adolescents and Young Adults

2020 ◽  
Vol 31 (12) ◽  
pp. 1585-1601 ◽  
Author(s):  
Gabriele Chierchia ◽  
Blanca Piera Pi-Sunyer ◽  
Sarah-Jayne Blakemore
Keyword(s):  
Decision Making ◽  
Young Adults ◽  
Social Context ◽  
Social Influence ◽  
Social Decision ◽  
Charitable Donations ◽  
The Social ◽  
Social Decision Making ◽  
Age Range ◽  
Value Of Money

Adolescence is associated with heightened social influence, especially from peers. This can lead to detrimental decision-making in domains such as risky behavior but may also raise opportunities for prosocial behavior. We used an incentivized charitable-donations task to investigate how people revise decisions after learning about the donations of others and how this is affected by age ( N = 220; age range = 11–35 years). Our results showed that the probability of social influence decreased with age within this age range. In addition, whereas previous research has suggested that adults are more likely to conform to the behavior of selfish others than to the behavior of prosocial others, here we observed no evidence of such an asymmetry in midadolescents. We discuss possible interpretations of these findings in relation to the social context of the task, the perceived value of money, and social decision-making across development.

scholarly journals Value computations underlying human proposer behaviour in the Ultimatum Game

2017 ◽  
Author(s):  
Erdem Pulcu ◽  
Masahiko Haruno
Keyword(s):  
Decision Making ◽  
Social Interactions ◽  
Cognitive Processes ◽  
Social Life ◽  
Ultimatum Game ◽  
Social Value Orientation ◽  
Social Decision ◽  
Optimal Decisions ◽  
Human Participants ◽  
Social Decision Making

AbstractInteracting with others to decide how finite resources should be allocated between parties which may have competing interests is an important part of social life. Considering that not all of our proposals to others are always accepted, the outcomes of such social interactions are, by their nature, probabilistic and risky. Here, we highlight cognitive processes related to value computations in human social interactions, based on mathematical modelling of the proposer behavior in the Ultimatum Game. Our results suggest that the perception of risk is an overarching process across non-social and social decision-making, whereas nonlinear weighting of others’ acceptance probabilities is unique to social interactions in which others’ valuation processes needs to be inferred. Despite the complexity of social decision-making, human participants make near-optimal decisions by dynamically adjusting their decision parameters to the changing social value orientation of their opponents through influence by multidimensional inferences they make about those opponents (e.g. how prosocial they think their opponent is relative to themselves).

Social Intelligence and Altruism

2020 ◽  
pp. 155-185
Author(s):  
Daeyeol Lee
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Social Intelligence ◽  
Dark Side ◽  
Social Decision ◽  
Social Intelligence Hypothesis ◽  
Neuroscience Research ◽  
The Social ◽  
The Mind ◽  
Social Decision Making

According to the social intelligence hypothesis, the unusual enlargement of primate brains, including the human brain, was driven by the complexity of social decision-making primates face in their societies. Social decision-making is fundamentally more complex due to the recursive nature of social reasoning. This chapter begins with the review of game theory and illustrates how game theory has transformed neuroscience research on social decision-making. Some of the topics covered include the supposed death of game theory, altruism and its dark side, cooperation, the theory of the mind, the prisoner’s dilemma, the recursive mind, and the social brain.

scholarly journals Age and sex differences in oxytocin and vasopressin V1a receptor binding densities in the rat brain: focus on the social decision-making network

2016 ◽  
Vol 222 (2) ◽  
pp. 981-1006 ◽  
Author(s):  
Caroline J. W. Smith ◽  
Max L. Poehlmann ◽  
Sara Li ◽  
Aarane M. Ratnaseelan ◽  
Remco Bredewold ◽  
...  
Keyword(s):  
Decision Making ◽  
Sex Differences ◽  
Rat Brain ◽  
Receptor Binding ◽  
Social Decision ◽  
V1a Receptor ◽  
The Social ◽  
Vasopressin V1a Receptor ◽  
Social Decision Making ◽  
Age And Sex

scholarly journals Pair Bond-Induced Affiliation and Aggression in Male Prairie Voles Elicit Distinct Functional Connectivity in the Social Decision-Making Network

2021 ◽  
Vol 15 ◽  
Author(s):  
Kyle R. Gossman ◽  
Benjamin Dykstra ◽  
Byron H. García ◽  
Arielle P. Swopes ◽  
Adam Kimbrough ◽  
...  
Keyword(s):  
Decision Making ◽  
Functional Connectivity ◽  
Social Interactions ◽  
Brain Regions ◽  
Prairie Voles ◽  
Correlation Pattern ◽  
Social Decision ◽  
Social Encounter ◽  
The Social ◽  
Social Decision Making

Complex social behaviors are governed by a neural network theorized to be the social decision-making network (SDMN). However, this theoretical network is not tested on functional grounds. Here, we assess the organization of regions in the SDMN using c-Fos, to generate functional connectivity models during specific social interactions in a socially monogamous rodent, the prairie voles (Microtus ochrogaster). Male voles displayed robust selective affiliation toward a female partner, while exhibiting increased threatening, vigilant, and physically aggressive behaviors toward novel males and females. These social interactions increased c-Fos levels in eight of the thirteen brain regions of the SDMN. Each social encounter generated a distinct correlation pattern between individual brain regions. Thus, hierarchical clustering was used to characterize interrelated regions with similar c-Fos activity resulting in discrete network modules. Functional connectivity maps were constructed to emulate the network dynamics resulting from each social encounter. Our partner functional connectivity network presents similarities to the theoretical SDMN model, along with connections in the network that have been implicated in partner-directed affiliation. However, both stranger female and male networks exhibited distinct architecture from one another and the SDMN. Further, the stranger-evoked networks demonstrated connections associated with threat, physical aggression, and other aversive behaviors. Together, this indicates that distinct patterns of functional connectivity in the SDMN can be detected during select social encounters.

scholarly journals Accounting for taste: A multi-attribute neurocomputational model explains the neural dynamics of choices for self and others

2018 ◽  
Author(s):  
Alison Harris ◽  
John A. Clithero ◽  
Cendri A. Hutcherson
Keyword(s):  
Decision Making ◽  
Computational Modeling ◽  
Parietal Lobe ◽  
Event Related Potentials ◽  
Response Threshold ◽  
Model Parameters ◽  
Temporoparietal Junction ◽  
Social Decision ◽  
Related Potentials ◽  
Social Decision Making

AbstractHow do we make choices for others with different preferences from our own? Although neuroimaging studies implicate similar circuits in representing preferences for oneself and others, some models propose that additional corrective mechanisms come online when choices for others diverge from one’s own preferences. Here we used event-related potentials (ERP) in humans, in combination with computational modeling, to examine how social information is integrated in the time leading up to choices for oneself and others. Hungry male and female participants with unrestricted diets selected foods for themselves, a similar unrestricted eater, and a dissimilar, self-identified healthy eater. Across choices for both oneself and others, ERP value signals emerged within the same time window but differentially reflected taste and health attributes based on the recipient’s preferences. Choices for the dissimilar recipient were associated with earlier activity localized to brain regions implicated in social cognition including temporoparietal junction (TPJ). Finally, response-locked analysis revealed a late ERP component specific to choices for the similar recipient, localized to the parietal lobe, that appeared to reflect differences in the response threshold based on uncertainty. A multi-attribute computational model supported the link between specific ERP components and distinct model parameters, and was not significantly improved by adding time-dependent dual processes. Model simulations suggested that longer response times (RTs) previously associated with effortful correction may alternatively arise from higher choice uncertainty. Together these results provide a parsimonious neurocomputational mechanism for social decision-making, additionally explaining divergent patterns of choice and RT data in decisions for oneself and others.Significance StatementHow do we choose for others, particularly when they have different preferences? Whereas some studies suggest that similar neural circuits underlie decision-making for oneself and others, others argue for additional, slower perspective-taking mechanisms. Combining event-related potentials with computational modeling, we found that integration of others’ preferences occurs over the same timescale as for oneself, while differentially tracking recipient-relevant attributes. Although choosing for others took longer and produced differences in late-emerging neural responses, computational modeling attributed these patterns to greater response caution rather than egocentric bias correction. Computational simulations also correctly predicted when and why choosing differently for others takes longer, suggesting that a model incorporating value integration and evidence accumulation can parsimoniously account for complex patterns in social decision-making.

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