Evidence map›Paper›PMID 31430295›Full record

Trial reportPloS one2019

The neural correlate of mid-value offers in ultimatum game.

Xiyun Zhong, Ruojun Wang, Shiyun Huang, Jingwei Chen, Hongmin Chen, Chen Qu

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiyun ZhongCenter for Studies of Psychological Application, South China Normal University, Guangzhou, China.
Ruojun WangCenter for Studies of Psychological Application, South China Normal University, Guangzhou, China.
Shiyun HuangCenter for Studies of Psychological Application, South China Normal University, Guangzhou, China.
Jingwei ChenCenter for Studies of Psychological Application, South China Normal University, Guangzhou, China.
Hongmin ChenMental Quality Education Center, Beijing Technology and Business University, Beijing, China.ORCID 0000-0002-0627-5609
Chen QuCenter for Studies of Psychological Application, South China Normal University, Guangzhou, China.ORCID 0000-0002-1570-1884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the ultimatum game (UG), mid-value offers are unfair but not so unreasonable as to be rejected immediately. As a consequence, they are difficult for responders to evaluate because of the conflict that arises between two key processes, namely inequity aversion and self-interests. Since there is no clear consensus in the literature on event-related potential (ERP) as to how mid-value offers are processed, we designed an experiment to explore how the ability to reject offers influences key ERP signatures. By manipulating the right to reject offers based on game type (ultimatum game, UG or dictator game, DG), our study explored how ERPs were influenced by three types of offers available to participants (fair, unfair and mid-value). We recorded the electroencephalogram results of 28 participants while they responded to the three kinds of offers in the UG and the DG. We observed that mid-value offers in the UG elicited more negative feedback-related negativity and N400 than did the unfair offers. However, these ERP patterns were specific to the UG. Furthermore, we interpreted these results as further electrophysiological evidence of the interaction between the two processing systems during the UG.

Indexed as

AdolescentAdultBrainChoice BehaviorElectroencephalographyEvoked PotentialsFemaleGames, ExperimentalHumansMaleYoung Adult

Identifiers

PMID31430295
PMCPMC6701805

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.