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The Neural Basis of Responsibility Attribution in Decision-Making

Overview of attention for article published in PLOS ONE, November 2013
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Title
The Neural Basis of Responsibility Attribution in Decision-Making
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0080389
Pubmed ID
Authors

Peng Li, Yue Shen, Xue Sui, Changming Chen, Tingyong Feng, Hong Li, Clay Holroyd

Abstract

Social responsibility links personal behavior with societal expectations and plays a key role in affecting an agent's emotional state following a decision. However, the neural basis of responsibility attribution remains unclear. In two previous event-related brain potential (ERP) studies we found that personal responsibility modulated outcome evaluation in gambling tasks. Here we conducted a functional magnetic resonance imaging (fMRI) study to identify particular brain regions that mediate responsibility attribution. In a context involving team cooperation, participants completed a task with their teammates and on each trial received feedback about team success and individual success sequentially. We found that brain activity differed between conditions involving team success vs. team failure. Further, different brain regions were associated with reinforcement of behavior by social praise vs. monetary reward. Specifically, right temporoparietal junction (RTPJ) was associated with social pride whereas dorsal striatum and dorsal anterior cingulate cortex (ACC) were related to reinforcement of behaviors leading to personal gain. The present study provides evidence that the RTPJ is an important region for determining whether self-generated behaviors are deserving of praise in a social context.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Luxembourg 1 1%
Unknown 75 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Researcher 15 19%
Student > Master 7 9%
Student > Postgraduate 6 8%
Professor > Associate Professor 4 5%
Other 11 14%
Unknown 19 24%
Readers by discipline Count As %
Psychology 24 31%
Neuroscience 7 9%
Social Sciences 6 8%
Medicine and Dentistry 5 6%
Agricultural and Biological Sciences 3 4%
Other 9 12%
Unknown 24 31%