Evidence map›Paper›PMID 28611705›Full record

ArticleFrontiers in psychology2017

Proposers' Economic Status Affects Behavioral and Neural Responses to Unfairness.

Yijie Zheng, Xuemei Cheng, Jialin Xu, Li Zheng, Lin Li, Guang Yang, Xiuyan Guo

Abstract read
In one paragraph

Article in Frontiers in psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

7 authors.

Yijie ZhengShanghai Key Laboratory of Magnetic Resonance, East China Normal UniversityShanghai, China.
Xuemei ChengShanghai Key Laboratory of Magnetic Resonance, East China Normal UniversityShanghai, China.
Jialin XuShanghai Key Laboratory of Magnetic Resonance, East China Normal UniversityShanghai, China.
Li ZhengSchool of Psychology and Cognitive Science, East China Normal UniversityShanghai, China.
Lin LiSchool of Psychology and Cognitive Science, East China Normal UniversityShanghai, China.
Guang YangShanghai Key Laboratory of Magnetic Resonance, East China Normal UniversityShanghai, China.
Xiuyan GuoShanghai Key Laboratory of Magnetic Resonance, East China Normal UniversityShanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic status played an important role in the modulation of economic decision making. The present fMRI study aimed at investigating how economic status modulated behavioral and neural responses to unfairness in a modified Ultimatum Game (UG). During scanning, participants played as responders in the UG, and they were informed of the economic status of proposers before receiving offers. At the behavioral level, higher rejection rates and lower fairness ratings were revealed when proposers were in high economic status than in low economic status. Besides, the most time-consuming decisions tended to occur at lower unfairness level when the proposers were in high (relative to low) economic status. At the neural level, stronger activation of left thalamus was revealed when fair offers were proposed by proposers in high rather than in low economic status. Greater activation of right medial prefrontal cortex was revealed during acceptance to unfair offers in high economic status condition rather than in low economic status condition. Taken together, these findings shed light on the significance of proposers' economic status in responders' social decision making in UG.

Indexed as

decision makingeconomic statusfMRIperception of unfairnessultimatum game (UG)

Identifiers

PMID28611705
PMCPMC5447013

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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.