Evidence map›Paper›PMID 40791340›Full record

ArticlebioRxiv : the preprint server for biology2025

An automated two-choice social operant task for probing moment-to-moment changes in social satiety.

Nancy R Mack, Tomohito Minakuchi, Ken Igarza, Pauline Wonnenberg, Stefan N Oline, Annegret L Falkner

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. 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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nancy R MackPrinceton Neuroscience Institute, Princeton, NJ 08540, U.S.A.
Tomohito MinakuchiPrinceton Neuroscience Institute, Princeton, NJ 08540, U.S.A.
Ken IgarzaPrinceton Neuroscience Institute, Princeton, NJ 08540, U.S.A.
Pauline WonnenbergGeorgetown University Medical Center, Washington, DC 20007, U.S.A.
Stefan N OlinePrinceton Neuroscience Institute, Princeton, NJ 08540, U.S.A.
Annegret L FalknerPrinceton Neuroscience Institute, Princeton, NJ 08540, U.S.A.

Funding

Training in Neural Injury &PlasticityT32NS041218 · NINDS · GEORGETOWN UNIVERSITY · PI MARK P BURNS, Kathleen Anne Maguire-Zeiss · 2001 to 2026
$3.5M
Mapping experience-dependent change in a circuit for aggressionR01MH126035 · NIMH · PRINCETON UNIVERSITY · PI FALKNER, ANNEGRET LEA · 2021 to 2025
$2.6M
Generating pro-resilient states through individualized circuit read-write therapeuticsDP2MH126375 · NIMH · PRINCETON UNIVERSITY · PI FALKNER, ANNEGRET LEA · 2020 to 2020
$2.4M
Decoding the specificity of social drivesF32MH136673 · NIMH · PRINCETON UNIVERSITY · PI Nancy Rose Mack · 2024 to 2026
$239k
NIMH NIH HHS DP2 MH126375NIMH NIH HHS F32 MH136673NIMH NIH HHS R01 MH126035NINDS NIH HHS T32 NS041218
6 · The paper itself

Abstract

In naturalistic conditions, animals must routinely make ongoing self-motivated choices about whether to initiate interactions with same or opposite-sex partners and whether to re-initiate social contact when interactions have ended. However, it remains unclear what governs these choices, and whether they are motivated by drive states that exhibit signatures of moment-to-moment social satiety when these interactions have ended. Here, to explicitly test this at the behavioral level, we designed a novel fully-automated two-choice social operant paradigm where individuals can choose between same and opposite-sex social rewards and rewards are delivered for interaction with systematically varying durations. We trained cohorts of both sexes on this task and quantified the patterns of choices. We used choice latency as a metric to infer moment-to-moment satiety to test whether increased interaction duration leads to increased moment-to-moment satiety. We find that although both males and females have stable choice biases across sessions, with males showing consistent opposite sex biases, only males exhibit behavioral signatures of moment-to-moment social satiety and are sensitive to the duration of interaction. Using a simple normative model to capture patterns of social choice, we observe that behavior is better fit by a model that has a single evolving social drive and choice bias, rather than a model with multiple, independent drives for same and opposite-sex interactions. Together, our data reveal behavioral signatures of social satiety and offer new insights into the underlying homeostatic and motivational drives that govern social choices.

Identifiers

PMID40791340
PMCPMC12338548

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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.