Evidence map›Paper›PMID 34160604›Full record

SynthesisSocial cognitive and affective neuroscience2021

A feature-based network analysis and fMRI meta-analysis reveal three distinct types of prosocial decisions.

Shawn A Rhoads, Jo Cutler, Abigail A Marsh

Abstract readMeta-Analysis
In one paragraph

Synthesis in Social cognitive and affective neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  12. Social identification and paranoia.Royal Society open science · 2024
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  20. The bright and dark sides of egoism.Frontiers in psychiatry · 2022
    Review
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

3 authors.

Shawn A RhoadsDepartment of Psychology, Georgetown University, Washington, DC 200057, USA.ORCID 0000-0003-1350-9458
Jo CutlerCentre for Human Brain Health, University of Birmingham, Birmingham, B15 2TT, UK.ORCID 0000-0003-1073-764X
Abigail A MarshDepartment of Psychology, Georgetown University, Washington, DC 200057, USA.ORCID 0000-0001-5635-181X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tasks that measure correlates of prosocial decision-making share one common feature: agents can make choices that increase the welfare of a beneficiary. However, prosocial decisions vary widely as a function of other task features. The diverse ways that prosociality is defined and the heterogeneity of prosocial decisions have created challenges for interpreting findings across studies and identifying their neural correlates. To overcome these challenges, we aimed to organize the prosocial decision-making task space of neuroimaging studies. We conducted a systematic search for studies in which participants made decisions to increase the welfare of others during functional magnetic resonance imaging. We identified shared and distinct features of these tasks and employed an unsupervised graph-based approach to assess how various forms of prosocial decision-making are related in terms of their low-level components (e.g. task features like potential cost to the agent or potential for reciprocity). Analyses uncovered three clusters of prosocial decisions, which we labeled as cooperation, equity and altruism. This feature-based representation of the task structure was supported by results of a neuroimaging meta-analysis that each type of prosocial decisions recruited diverging neural systems. Results clarify some of the existing heterogeneity in how prosociality is conceptualized and generate insight for future research and task paradigm development.

Indexed as

Brain MappingMagnetic Resonance ImagingAltruismHumansaltruismcooperationequitymeta-analysisprosocial decision-making

Identifiers

PMID34160604
PMCPMC8717062

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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.