Evidence map›Paper›PMID 40435252›Full record

ArticleScience advances2025

Direct and indirect striatal projecting neurons exert strategy-dependent effects on decision-making.

Elena Chaves Rodriguez, Jérémie Naudé, Daniel Rial, Alban de Kerchove d'Exaerde

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Cue-Dependent Fear Learning Drives Nucleus Accumbens Spine Plasticity.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
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

4 authors.

Elena Chaves RodriguezNeurophy Laboratory, ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), 808 route de Lennik, 1070 Brussels, Belgium.ORCID 0009-0008-0312-6705
Jérémie NaudéInstitut de Génomique Fonctionnelle, Univ. Montpellier - UMR 5203 CNRS - U 1191 INSERM, Montpellier, France.ORCID 0000-0001-5781-6498
Daniel RialNeurophy Laboratory, ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), 808 route de Lennik, 1070 Brussels, Belgium.
Alban de Kerchove d'ExaerdeNeurophy Laboratory, ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), 808 route de Lennik, 1070 Brussels, Belgium.ORCID 0000-0002-0682-5877

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The striatum plays a key role in decision-making, with its effects varying with anatomical location and direct and indirect pathway striatal projecting neuron (d- and iSPN) populations. Using a mouse gambling task with a reinforcement-learning model, we described individual decision-making profiles as a combination of three archetypal strategies: Optimizers, Risk-averse, and Explorers. These strategies reflected stable differences in the parameters generating decisions (sensitivity to the reward magnitude, to risk, or to punishment) derived from a reinforcement-learning model of animal choice. Chemogenetic manipulation showed that dorsomedial striatum (DMS) neurons substantially affect decision-making, while the nucleus accumbens (NAc) and dorsolateral striatum neurons (DLS) have lesser or no effects, respectively. Specifically, DMS dSPNs decrease risk aversion by increasing the perceived value of risky choices, while DMS iSPNs emphasize large gains, affecting decisions depending on decision-making profiles. Hence, we propose that striatal populations from different subregions influence distinct decision-making parameters, leading to profile-dependent choices.

Indexed as

Corpus StriatumDecision MakingNeuronsAnimalsChoice BehaviorMaleMiceNucleus AccumbensReward

Identifiers

PMID40435252
PMCPMC12118603

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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.