Evidence map›Paper›PMID 39932876›Full record

ArticleBrain : a journal of neurology2025

Ventromedial prefrontal cortex lesions disrupt learning to reward others.

Margot Gueguen, Jo Cutler, Daniel Drew, Matthew A J Apps, Deva Sanjeeva Jeyaretna, Masud Husain, Sanjay G Manohar, Patricia L Lockwood

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Margot GueguenCentre for Human Brain Health, School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.ORCID 0000-0003-4298-9227
Jo CutlerCentre for Human Brain Health, School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.ORCID 0000-0003-1073-764X
Daniel DrewDepartment of Experimental Psychology, University of Oxford, Radcliffe Observatory Quarter, Oxford OX2 6GG, UK.
Matthew A J AppsCentre for Human Brain Health, School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Deva Sanjeeva JeyaretnaNuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Masud HusainDepartment of Experimental Psychology, University of Oxford, Radcliffe Observatory Quarter, Oxford OX2 6GG, UK.ORCID 0000-0002-6850-9255
Sanjay G ManoharDepartment of Experimental Psychology, University of Oxford, Radcliffe Observatory Quarter, Oxford OX2 6GG, UK.ORCID 0000-0003-0735-4349
Patricia L LockwoodCentre for Human Brain Health, School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/M013596/1Biotechnology and Biological Sciences Research Council BB/R010668/2Christ Church Research CentreJacobs Family FoundationLeverhulme Trust 2018-310Leverhulme Trust PLP-2021-196Medical Research Council MR/N013913/1Medical Research Council MR/P014097/1 and MR/P014097/2NIHROxford Health Biomedical Research Centre MR/P00878/XRoyal Society 223264/Z/21/ZRoyal Society EP/X020215/1Wellcome TrustWellcome Trust 098282/Z/12/ZWellcome Trust 206330/Z/17/Z
6 · The paper itself

Abstract

Reinforcement learning is a fundamental process through which humans and other animals attain rewards for themselves. However, to act prosocially, we must also learn how our choices reward others. The ventromedial prefrontal cortex has been independently linked to reinforcement learning and prosocial behaviour, yet its causal impact on prosocial reinforcement learning and the roles of its multiple subregions remain unknown. Here, a large group of adults with rare focal ventromedial prefrontal cortex damage (n = 28) and two carefully age- and gender-matched control groups (lesions elsewhere, n = 21; healthy controls, n = 124) completed a reinforcement learning task where they learnt to win rewards for another person (prosocial), for themselves (self) or in a control condition where participants saw points, but they were not translated into rewards for either individual (no one, control condition) on separate trials. A novel computational model incorporating separate learning rates for positive and negative prediction errors best explained behaviour in all groups. Importantly, compared to both control groups, patients with ventromedial prefrontal cortex damage were less accurate and had lower learning rates from positive prediction errors when rewarding another person relative to when no one benefitted, and higher learning rates for negative prediction errors when learning for others relative to self. Unlike controls, ventromedial prefrontal cortex lesion patients also showed a reduced self-benefitting advantage. They were equally accurate and learnt at a similar rate from positive prediction errors for self and neither individual. Strikingly, voxel-based lesion-symptom mapping revealed that damage to subgenual anterior cingulate cortex and anterior cingulate cortex gyrus specifically disrupted prosocial reinforcement learning. These findings highlight the importance of ventromedial prefrontal cortex integrity for multiple aspects of reinforcement learning, with damage to subgenual anterior cingulate cortex and anterior cingulate cortex gyrus critical in learning to reward others.

Indexed as

LearningPrefrontal CortexRewardAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedReinforcement, PsychologySocial Behaviorbrain damagecomputational modellinglesion mappingreinforcement learningsocial learningventromedial prefrontal cortex

Identifiers

PMID39932876
PMCPMC12493044

What OpenQuestion holds

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LicenceCC BY
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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.