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U-Shaped Relation between Plasma Oxytocin Levels and Behavior in the Trust Game

Overview of attention for article published in PLOS ONE, December 2012
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Title
U-Shaped Relation between Plasma Oxytocin Levels and Behavior in the Trust Game
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051095
Pubmed ID
Authors

Songfa Zhong, Mikhail Monakhov, Helen P. Mok, Terry Tong, Poh San Lai, Soo Hong Chew, Richard P. Ebstein

Abstract

Trust underpins much of social and economic exchanges across human societies. In experimental economics, the Trust Game has served as the workhorse for the study of trust in a controlled incentivized setting. Recent evidence using intranasal drug administration, aka 'sniffing', suggests that oxytocin (OT) can function as a social hormone facilitating trust and other affiliative behaviors. Here we hypothesized that baseline plasma OT is a biomarker that partially predicts the degree of trust and trustworthiness observed in the trust game. Using a large sample of 1,158 participants, we observed a significant U-shaped relationship between plasma OT with the level of trust, and marginally with the level of trustworthiness, especially among males. Specifically, subjects with more extreme levels of plasma OT were more likely to be trusting as well as trustworthy than those with moderate levels of plasma OT. Our results contribute to a deeper understanding of the biological basis of human trust and underscore the usefulness of peripheral plasma OT measures in characterizing human social behavior.

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Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 2 2%
Japan 1 <1%
Portugal 1 <1%
Netherlands 1 <1%
Unknown 117 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 25%
Student > Master 19 16%
Researcher 14 11%
Student > Doctoral Student 10 8%
Student > Bachelor 8 7%
Other 22 18%
Unknown 18 15%
Readers by discipline Count As %
Psychology 44 36%
Agricultural and Biological Sciences 14 11%
Neuroscience 9 7%
Medicine and Dentistry 8 7%
Computer Science 3 2%
Other 15 12%
Unknown 29 24%