Evidence map›Paper›PMID 41959537›Full record

ArticlebioRxiv : the preprint server for biology2026

Mouse strain and network-level activity differences underlie social decision-making.

Elizabeth Illescas-Huerta, Andrea Villamizar, Meghan Cum, Nancy Padilla-Coreano

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Elizabeth Illescas-HuertaORCID 0009-0005-4097-1666
Andrea Villamizar
Meghan Cum
Nancy Padilla-CoreanoORCID 0000-0001-9293-2697

Funding

Elucidating social competence: neural mechanisms for competition and cooperationR01MH139895 · NIMH · UNIVERSITY OF FLORIDA · PI Nancy Padilla Coreano · 2025 to 2026
$1.3M
NIMH NIH HHS R01 MH139895
6 · The paper itself

Abstract

Adaptive social behavior requires balancing self-interest with the welfare of others, a core axiom of social decision-making that determines whether actions are selfish or prosocial. Although the medial prefrontal cortex (mPFC) has been implicated in prosocial behavior, the broader cortical-subcortical networks that arbitrate between selfish and prosocial actions remain poorly understood. Moreover, most studies of social decision-making (at both the single-region and circuit levels) have focused on inbred C57BL/6 mice, leaving unclear whether similar neural mechanisms operate across genetically diverse populations. Here, we combined a social decision-making task with c-Fos mapping to examine activity across distributed cortical and subcortical regions in inbred C57BL/6 and outbred CD1 male mice during prosocial and selfish choices. We found that CD1 mice exhibited a stronger bias toward selfish behavior, whereas C57BL/6 mice were more prosocial. This behavioral divergence was associated with elevated c-Fos activity in the mPFC and nucleus accumbens core (NAcC) in CD1 mice compared with C57BL/6 mice, and mPFC activity positively correlated with selfish choice bias. At the network level, social decision-making selectively recruited coordinated activity among the distinct mPFC subregions, ventral tegmental area (VTA), and NAcC. Importantly, prosocial and selfish individuals recruited distinct prefrontal-subcortical network configurations during social decision-making. Together, these findings identify distributed cortical-subcortical network dynamics underlying social choice bias and reveal strain-dependent differences in the neural architecture supporting prosocial and selfish behavior. Significant statement: Social decisions require weighing personal benefit against the welfare of others, yet the neural circuits that bias individuals toward selfish versus prosocial choices remain poorly understood. Here, we show that two mouse strains with opposing social preferences recruit distinct cortical and subcortical network configurations during social choice, despite performing the same task. Rather than reflecting differences in single brain regions, social decision-making engaged coordinated activity across a prefrontal-striatal-midbrain circuit, with prosocial and selfish individuals recruiting different versions of this network. These findings reveal that social choice bias is encoded at the level of distributed circuit organization and that genetic background shapes how the brain implements social decisions.

Identifiers

PMID41959537
PMCPMC13060926

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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.