Evidence mapPaperPMID 41922368Full record

ArticleScientific data2026

Dataset of cortical and subcortical single neuron activity during value-based tasks in macaque monkey.

Liza London, Marques Love, Zachary R Zeisler, Peter H Rudebeck, Frederic M Stoll

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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

5 authors.

Liza LondonNash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Marques LoveNash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Zachary R ZeislerNash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Peter H Rudebeck *Nash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Frederic M Stoll *Nash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. frederic.stoll@mssm.edu.

Funding

Brain and Behavior Research Foundation NARSAD Young InvestigatorNIMH NIH HHS MH110822
6 · The paper itself

Abstract

A key challenge in cognitive neuroscience is to provide an account of how the brain guides choice behavior toward rewarding outcomes in uncertain environments. Interaction between the frontal cortex and subcortical structures is critical for this type of decision-making. The frontal cortex is, however, not a homogeneous structure and is composed of subregions that are distinct based on their cytoarchitecture. How these distinct subregions uniquely contribute to decision-making is not well established. Further, little is known about how neurons in each subregion interact with each other, meaning that the cross-areal dynamics of reward-guided decision-making in frontal cortex are yet to be fully revealed. Here we present a dataset of 16,495 neurons recorded from 22 anatomically verified areas in 2 macaque monkeys across 340 behavioral sessions. Monkeys performed single- and two-alternative probabilistic value-based decision-making tasks where they made responses to stimuli that were associated with distinct probabilities of receiving different flavored juice outcomes. Our dataset includes behavior, neuronal spike times, and electrode locations based on cytoarchitectural features of Nissl and immunohistochemically stained tissue. Investigators can use this extensive dataset to further resolve the functions of, and interactions between, frontal and subcortical brain regions during reward-guided decision-making.

Indexed as

Decision MakingFrontal LobeNeuronsAnimalsMacacaReward

Identifiers

PMID41922368
PMCPMC13338295

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.