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Neural Correlates of Dynamically Evolving Interpersonal Ties Predict Prosocial Behavior

Overview of attention for article published in Frontiers in Neuroscience, January 2012
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Title
Neural Correlates of Dynamically Evolving Interpersonal Ties Predict Prosocial Behavior
Published in
Frontiers in Neuroscience, January 2012
DOI 10.3389/fnins.2012.00028
Pubmed ID
Authors

Johannes J. Fahrenfort, Frans van Winden, Benjamin Pelloux, Mirre Stallen, K. Richard Ridderinkhof

Abstract

There is a growing interest for the determinants of human choice behavior in social settings. Upon initial contact, investment choices in social settings can be inherently risky, as the degree to which the other person will reciprocate is unknown. Nevertheless, people have been shown to exhibit prosocial behavior even in one-shot laboratory settings where all interaction has been taken away. A logical step has been to link such behavior to trait empathy-related neurobiological networks. However, as a social interaction unfolds, the degree of uncertainty with respect to the expected payoff of choice behavior may change as a function of the interaction. Here we attempt to capture this factor. We show that the interpersonal tie one develops with another person during interaction - rather than trait empathy - motivates investment in a public good that is shared with an anonymous interaction partner. We examined how individual differences in trait empathy and interpersonal ties modulate neural responses to imposed monetary sharing. After, but not before interaction in a public good game, sharing prompted activation of neural systems associated with reward (striatum), empathy (anterior insular cortex and anterior cingulate cortex) as well as altruism, and social significance [posterior superior temporal sulcus (pSTS)]. Although these activations could be linked to both empathy and interpersonal ties, only tie-related pSTS activation predicted prosocial behavior during subsequent interaction, suggesting a neural substrate for keeping track of social relevance.

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The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Netherlands 2 2%
Uruguay 1 <1%
China 1 <1%
Unknown 97 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 19 18%
Student > Master 13 12%
Student > Bachelor 10 10%
Student > Doctoral Student 7 7%
Other 21 20%
Unknown 12 11%
Readers by discipline Count As %
Psychology 43 41%
Agricultural and Biological Sciences 7 7%
Neuroscience 7 7%
Economics, Econometrics and Finance 5 5%
Medicine and Dentistry 5 5%
Other 17 16%
Unknown 21 20%