Evidence map›Paper›PMID 33683479›Full record

ArticleBrain structure & function2021

Neuroanatomical and functional substrates of the greed personality trait.

Qiang Wang, Shiyu Wei, Hohjin Im, Manman Zhang, Pinchun Wang, Yuxuan Zhu, Yajie Wang, Xuejun Bai

Abstract read
PubMed Publisher
In one paragraph

Article in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Domain-Specific Greed.Personality & social psychology bulletin · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors at 2 institutions in 2 countries.

Qiang WangKey Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.ORCID http://orcid.org/0000-0002-1081-6690
Shiyu WeiKey Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.
Hohjin ImDepartment of Psychological Science, University of California, Irvine, CA, 92697-7085, USA.
Manman ZhangKey Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.
Pinchun WangFaculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
Yuxuan ZhuFaculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
Yajie WangFaculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
Xuejun BaiKey Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China. baixuejun@126.com.
Tianjin Normal University · CNUniversity of California, Irvine · US

Funding

Humanities and Social Science Fund Project of the Ministry of Education 20YJC190018Major Project of National Social Science Foundation of China 20ZDA079National Natural Science Foundation of China 31800920National Natural Science Foundation of China 32000786
6 · The paper itself

Abstract

Greedy individuals often exhibit more impulsive decision-making and short-sighted behaviors. It has been assumed that altered reward circuitry and prospection network is associated with greed personality trait (GPT). In this study, we first explored the morphological characteristics (i.e., gray matter volume; GMV) of GPT combined with univariate and multivariate pattern analysis (MVPA) approaches. Second, we adopted a revised version of inter-temporal choice task and independently manipulated the amount and delay time of future rewards. Using brain-imaging design, reward- and prospection-related brain activations were assessed and their associations with GPT were further examined. The MVPA results showed that GPT was associated with the GMVs in the right lateral frontal pole cortex, left ventromedial prefrontal cortex, right lateral occipital cortex, and right occipital pole. Additionally, we observed that the amount-relevant brain activations (responding to reward circuitry) in the lateral orbitofrontal cortex were negatively associated with individual's variability in GPT scores, whereas the delay time-relevant brain activations (responding to prospection network system) in the dorsolateral prefrontal cortex, dorsomedial prefrontal cortex, superior parietal lobule, and anterior cingulate cortex were positively associated with individual's variability in GPT scores. These findings not only provide novel insights into the neuroanatomical substrates underlying the human dispositional greed, but also suggest the critical roles of reward and prospection processing on the greed.

Indexed as

PersonalityBrainBrain MappingHumansMagnetic Resonance ImagingRewardGreedIntertemporal choiceMultivariate pattern analysisReward circuitryVBM

Identifiers

PMID33683479
OpenAlexW3130076149

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.