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How to trust a perfect stranger: predicting initial trust behavior from resting-state brain-electrical connectivity
Tim Hahn1, Karolien Notebaert2, Christine Anderl3
1Department of Cognitive Psychology II, Johann Wolfgang Goethe University Frankfurt am Main, Germany and Research Center for Marketing and Consumer Science, Faculty of Economics and Business, KU Leuven, Naamsestraat 69, 3000 Leuven, Belgium Hahn@psych.uni-frankfurt.de.
Brain activity before interaction predicts initial trust in partners. This resting-state functional connectivity reveals how early trust levels are established before any exchange occurs.
Area of Science:
- Neuroscience
- Social Psychology
- Behavioral Economics
Background:
- Cooperation with unknown partners requires initial trust, which is not based on prior interactions.
- Understanding the origins of this initial trust is crucial for explaining cooperative behaviors.
Purpose of the Study:
- To investigate if initial trust levels can be predicted from brain activity before any social exchange.
- To explore the neural representation of trust before interaction.
Main Methods:
- Utilized resting-state functional connectivity (rsFC) data from participants before playing a standard 10-round Trust Game.
- Correlated rsFC patterns with the investors' initial investment (Round 1) in the Trust Game.
Main Results:
- Resting-state functional connectivity significantly predicted the investor's initial trust level in Round 1.
- This neural predictor of trust was not significant in later rounds, suggesting belief updating.
Conclusions:
- Initial trust in unknown partners has a neural basis reflected in resting-state brain activity.
- Brain electrical activity preceding an exchange can determine, in part, an individual's initial level of trust.
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