Evidence map›Paper›PMID 41362134›Full record

ArticleeLife2025

Human neurocomputational mechanisms of guilt-driven and shame-driven altruistic behavior.

Ruida Zhu, Huanqing Wang, Chunliang Feng, Linyuan Yin, Ran Zhang, Yi Zeng, Chao Liu

Abstract read
In one paragraph

Article in eLife, 2025. 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

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

1 citing paper in PubMed.

  1. 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

7 authors.

Ruida ZhuDepartment of Psychology, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1316-7526
Huanqing WangDepartment of Psychology, The Ohio State University, Columbus, United States.
Chunliang FengKey Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Linyuan YinDepartment of Psychology, Sun Yat-sen University, Guangzhou, China.
Ran ZhangState Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Yi ZengBeijing Key Laboratory of Safe AI and Superalignment, Beijing, China.
Chao LiuState Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID https://orcid.org/0000-0003-1149-2314

Funding

Beijing Major Science and Technology Project Z241100001324005Fundamental Research Funds for the Central Universities Sun Yat-sen University, 2024qntd90National Natural Science Foundation of China 32130045National Natural Science Foundation of China 32200884National Natural Science Foundation of China 32271092National Natural Science Foundation of China 32441109Opening Project of the State Key Laboratory of General Artificial Intelligence SKLAGI20240P06Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning CNLYB2404Scientific and Technological Innovation (STI) 2030-Major Projects 2021ZD0200500Start-up Project for Support of Young Doctors SL2023A04J00351
6 · The paper itself

Abstract

Although prior research has examined the psychological and neural correlates of guilt and shame, the cognitive antecedents that trigger them, as well as their transformation into social behavior, remain insufficiently understood. We developed a novel task to investigate how two cognitive antecedents, harm and responsibility, elicit guilt and shame, and how these emotions subsequently drive compensatory behavior, by combining functional magnetic resonance imaging (fMRI) with computational modeling in human participants. Behaviorally, we found that harm had a stronger impact on guilt, whereas responsibility had a stronger impact on shame. Moreover, compared to shame, guilt exerted a greater effect on compensation. Computational modeling results indicated that the integration of harm and responsibility by individuals is consistent with the phenomenon of responsibility diffusion. The fMRI results revealed that brain regions associated with inequity representation (posterior insula) and value computation (striatum) encode this integrated measure. Individual differences in responsibility-driven shame sensitivity were associated with activity in theory-of-mind regions (e.g. temporoparietal junction). Guilt-driven and shame-driven compensatory behavior recruited distinct neural substrates, with shame-driven compensatory sensitivity being more strongly linked to activity in the lateral prefrontal cortex, a region implicated in cognitive control. Our findings provide computational, algorithmic, and neural accounts of guilt and shame.

Indexed as

AltruismBrainGuiltShameAdultBrain MappingComputer SimulationFemaleHumansMagnetic Resonance ImagingMaleYoung Adultcompensationcomputational modelingfunctionalist theoryfunctional magnetic resonance imagingguilthumanneuroscienceshame

Identifiers

PMID41362134
PMCPMC12688305

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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.