Evidence map›Paper›PMID 34331267›Full record

ArticleCognitive, affective & behavioral neuroscience2021

Intrinsic functional connectivity of the frontoparietal network predicts inter-individual differences in the propensity for costly third-party punishment.

Qun Yang, Gabriele Bellucci, Morris Hoffman, Ko-Tsung Hsu, Bonian Lu, Gopikrishna Deshpande, Frank Krueger

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Article in Cognitive, affective & behavioral neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Qun Yang *Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.
Gabriele Bellucci *Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Morris HoffmanDistrict Judge, Second Judicial District, State of Colorado, Denver, CO, USA.
Ko-Tsung HsuDepartment of Bioengineering, George Mason University, Fairfax, VA, USA.
Bonian LuAU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA.
Gopikrishna DeshpandeAU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA.
Frank KruegerSchool of Systems Biology, George Mason University, Fairfax, VA, USA. FKrueger@gmu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are motivated to give norm violators their just deserts through costly punishment even as unaffected third parties (i.e., third-party punishment, TPP). A great deal of individual variability exists in costly punishment; however, how this variability particularly in TPP is represented by the brain's intrinsic network architecture remains elusive. Here, we examined whether inter-individual differences in the propensity for TPP can be predicted based on resting-state functional connectivity (RSFC) combining an economic TPP game with task-free functional neuroimaging and a multivariate prediction framework. Our behavioral results revealed that TPP punishment increased with the severity of unfairness for offers. People with higher TPP propensity punished more harshly across norm-violating scenarios. Our neuroimaging findings showed RSFC within the frontoparietal network predicted individual differences in TPP propensity. Our findings contribute to understanding the neural fingerprint for an individual's propensity to costly punish strangers, and shed some light on how social norm enforcement behaviors are represented by the brain's intrinsic network architecture.

Indexed as

IndividualityPunishmentHumansNeuroimagingCostly punishmentMachine learningPrediction frameworkResting-state functional connectivityThird-party punishment

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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.