Evidence map›Paper›PMID 40473617›Full record

ArticleNature communications2025

Stimulus-specific and adaptive value representations in the basolateral amygdala in male mice.

Julian Hinz, Mathias Mahn, Sigrid Müller, András Szőnyi, Tobias Eichlisberger, Andreas Lüthi

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Julian Hinz *Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland.ORCID http://orcid.org/0000-0002-5432-6263
Mathias Mahn *Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland.ORCID http://orcid.org/0000-0002-8951-1530
Sigrid MüllerFriedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland.
András SzőnyiFriedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland.ORCID http://orcid.org/0000-0002-6818-4550
Tobias EichlisbergerFriedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland.ORCID http://orcid.org/0000-0003-3293-5962
Andreas LüthiFriedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland. andreas.luthi@fmi.ch.ORCID http://orcid.org/0000-0002-1859-4252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animals make decisions based on the value of potential outcomes. This perceived value is not fixed; it changes depending on internal needs, such as hunger or thirst, and past experiences. The basolateral amygdala (BLA) is known to be crucial for updating predicted reward values. However, it has been unclear how the BLA represents the specific value of different rewards. Two-photon calcium imaging in male mice showed that population response magnitude scaled with subjective value, and different rewards recruited distinct neuronal subpopulations. Value representations quickly re-scaled when a novel, higher-value reward appeared, and internal state shaped them: thirst selectively boosted responses to water, whereas aversive experience dampened sucrose responses. Thus, BLA circuits carry flexible, stimulus-specific value signals that integrate relative value and current affective or homeostatic conditions, providing a neural basis for adaptive decision making and learning. Our findings reveal that the BLA maintains adaptable, reward-specific value signals, essential for guiding choices according to current needs and changing circumstances.

Indexed as

Basolateral Nuclear ComplexRewardAnimalsDecision MakingMaleMiceMice, Inbred C57BLNeuronsThirst

Identifiers

PMID40473617
PMCPMC12141682

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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.