Evidence map›Paper›PMID 38339893›Full record

ArticleHuman brain mapping2024

The neural mechanisms of identifiable victim effect in prosocial decision-making.

Hailing Zhao, Yashi Xu, Lening Li, Jie Liu, Fang Cui

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Hailing ZhaoSchool of Psychology, Shenzhen University, Shenzhen, China.
Yashi XuSchool of Psychology, Shenzhen University, Shenzhen, China.
Lening LiDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Jie LiuSchool of Psychology, Shenzhen University, Shenzhen, China.ORCID 0000-0001-8874-7499
Fang CuiSchool of Psychology, Shenzhen University, Shenzhen, China.ORCID 0000-0003-4487-8790

Funding

National Natural Science Foundation of China 32171013Science, Technology and Innovation Commission of Shenzhen Municipality JCYJ20210308103903001
6 · The paper itself

Abstract

The phenomenon known as the "identifiable victim effect" describes how individuals tend to offer more assistance to victims they can identify with than to those who are vague or abstract. The neural underpinnings of this effect, however, remain elusive. Our study utilized functional magnetic resonance imaging to delve into how the "identifiable victim effect" influences prosocial decision-making, considering different types of helping costs, across two distinct tasks. Participants were instructed to decide whether to help a victim with personal information shown (i.e., the identifiable victim) and an unidentifiable one by costing their money (task 1) or physical effort (task 2). Behaviorally, we observed a pronounced preference in both tasks for aiding identifiable victims over anonymous ones, highlighting a robust "identifiable victim effect." On a neural level, this effect was associated with heightened activity in brain areas like the bilateral temporoparietal junction (TPJ) when participants confronted anonymous victims, potentially indicating a more intensive mentalizing process for less concrete victims. Additionally, we noted that the TPJ's influence on value judgment processes is mediated through its functional connectivity with the medial prefrontal cortex. These insights contribute significantly to our understanding of the psychological and neural dynamics underlying the identifiable victim effect.

Indexed as

BrainBrain MappingHumansMagnetic Resonance Imagingempathyfunctional magnetic resonance imagingidentifiable victim effectprosocial decision-makingtemporoparietal junction

Identifiers

PMID38339893
PMCPMC10836171

What OpenQuestion holds

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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.