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Differences in Social Decision-Making between Proposers and Responders during the Ultimatum Game: An EEG Study

Overview of attention for article published in Frontiers in Integrative Neuroscience, July 2017
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Title
Differences in Social Decision-Making between Proposers and Responders during the Ultimatum Game: An EEG Study
Published in
Frontiers in Integrative Neuroscience, July 2017
DOI 10.3389/fnint.2017.00013
Pubmed ID
Authors

Sibylle K. Horat, Anne Prévot, Jonas Richiardi, François R. Herrmann, Grégoire Favre, Marco C. G. Merlo, Pascal Missonnier

Abstract

The Ultimatum Game (UG) is a typical paradigm to investigate social decision-making. Although the behavior of humans in this task is already well established, the underlying brain processes remain poorly understood. Previous investigations using event-related potentials (ERPs) revealed three major components related to cognitive processes in participants engaged in the responder condition, the early ERP component P2, the feedback-related negativity (FRN) and a late positive wave (late positive component, LPC). However, the comparison of the ERP waveforms between the responder and proposer conditions has never been studied. Therefore, to investigate condition-related electrophysiological changes, we applied the UG paradigm and compared parameters of the P2, LPC and FRN components in twenty healthy participants. For the responder condition, we found a significantly decreased amplitude and delayed latency for the P2 component, whereas the mean amplitudes of the LPC and FRN increased compared to the proposer condition. Additionally, the proposer condition elicited an early component consisting of a negative deflection around 190 ms, in the upward slope of the P2, probably as a result of early conflict-related processing. Using independent component analysis (ICA), we extracted one functional component time-locked to this deflection, and with source reconstruction (LAURA) we found the anterior cingulate cortex (ACC) as one of the underlying sources. Overall, our findings indicate that intensity and time-course of neuronal systems engaged in the decision-making processes diverge between both UG conditions, suggesting differential cognitive processes. Understanding the electrophysiological bases of decision-making and social interactions in controls could be useful to further detect which steps are impaired in psychiatric patients in their ability to attribute mental states (such as beliefs, intents, or desires) to oneself and others. This ability is called mentalizing (also known as theory of mind).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Student > Bachelor 11 15%
Student > Ph. D. Student 10 13%
Researcher 6 8%
Student > Doctoral Student 4 5%
Other 14 19%
Unknown 19 25%
Readers by discipline Count As %
Psychology 21 28%
Neuroscience 7 9%
Engineering 6 8%
Unspecified 4 5%
Social Sciences 3 4%
Other 7 9%
Unknown 27 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2017.
All research outputs
#12,731,553
of 22,990,068 outputs
Outputs from Frontiers in Integrative Neuroscience
#357
of 857 outputs
Outputs of similar age
#142,644
of 312,560 outputs
Outputs of similar age from Frontiers in Integrative Neuroscience
#6
of 10 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 857 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,560 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.