Evidence map›Paper›PMID 40909584›Full record

ArticlebioRxiv : the preprint server for biology2025

Asymmetric Social Representations in the Prefrontal Cortex for Cooperative Behavior.

Yuan Cheng, Yusi Chen, Myungji Kwak, Ross P Kempner, Rudramani Singha, Jared Winslow, Runqi Liu, Umais Khan, Tessa Spangler, Alvi Khan and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

16 authors.

Yuan ChengDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yusi ChenComputational Neuroscience Center, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6077-6973
Myungji KwakDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ross P KempnerDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rudramani SinghaDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Jared WinslowQuantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, USA.
Runqi LiuDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Umais KhanDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Tessa SpanglerDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alvi KhanDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Talmo PereiraSalk Institute for Biological Studies, La Jolla, CA, USA.
Matthew WhitewayMortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.ORCID 0000-0003-3756-1349
Evan S SchafferDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nuttida RungratsameetaweemanaDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Nan YangInstitute for Regenerative Medicine and Alper Center for Neural Development and Regeneration, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-3663-1288
Herbert Zheng WuDepartment of Neuroscience and the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-7257-5925

Funding

Molecular and functional architecture of a premotor circuit for decision makingR01MH133039 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Zheng Herbert Wu · 2023 to 2026
$2.7M
Training Program in Substance Use DisordersT32DA053558 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Paul J. Kenny · 2021 to 2026
$2.6M
cloudSLEAP: Maximizing accessibility to deep learning-based motion captureRF1MH132653 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI PEREIRA, TALMO D. · 2023 to 2023
$2.6M
NIDA NIH HHS T32 DA053558NIMH NIH HHS R01 MH133039NIMH NIH HHS RF1 MH132653
6 · The paper itself

Abstract

Cooperation is a hallmark of social species, enabling individuals to achieve goals that are unattainable alone. Across species, cooperative behaviors are often organized by distinct social roles such as leaders and followers, yet the neural mechanisms supporting such role-based coordination remain elusive. Here we introduce a new paradigm for studying cooperation in mice, where pairs of animals engage in a joint spatial foraging task that naturally gives rise to stable leader-follower roles predictive of learning speed. Disruption of medial prefrontal cortex (mPFC) activity, particularly in followers, impairs cooperation and induces reciprocal shifts in how animals weigh self- and partner-related cues for decision-making. Calcium imaging reveals that mPFC encodes both leadership dynamics and an egocentric social value map of the partner's position, each in an asymmetric, role-specific manner. Combining this behavior with a novel multi-agent inverse reinforcement learning framework, we identify latent value functions that guide cooperative decisions and are decodable from mPFC activity. These findings uncover fundamental neural computations that support cooperation, revealing how social roles shape decision-making in real time. Our work opens new avenues for investigating the cellular and circuit basis of social cognition and collective behavior.

Identifiers

PMID40909584
PMCPMC12407837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.