Evidence mapPaperPMID 41559475Full record

ArticleNature neuroscience2026

A prefrontal cortex map based on single-neuron activity.

Pierre Le Merre, Katharina Heining, Marina Slashcheva, Felix Jung, Eleni Moysiadou, Nicolas Guyon, Ram Yahya, Hyunsoo Park, Fredrik Wernstal, Marie Carlén

Abstract read
In one paragraph

Article in Nature neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

10 authors.

Pierre Le Merre *Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4205-7411
Katharina Heining *Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-1976-3764
Marina SlashchevaDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7918-8151
Felix JungDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7565-977X
Eleni MoysiadouDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0009-0006-3971-7131
Nicolas GuyonDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-1287-8606
Ram YahyaDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Hyunsoo ParkDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5754-9617
Fredrik WernstalDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Marie CarlénDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden. marie.carlen@ki.se.ORCID http://orcid.org/0000-0003-1658-1631

Funding

European Commission (EC) 860563Hjärnfonden (Swedish Brain Foundation) FO2024-0413Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) 2020.0125Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) 2023.0353Vetenskapsrådet (Swedish Research Council) 2021-02662
6 · The paper itself

Abstract

The intrinsic organization underlying the central cognitive role of the prefrontal cortex (PFC) is poorly understood. We approached organization by profiling the activity and spatial location of >24,000 neurons recorded in awake mice. High-resolution activity maps of the PFC did not align with cytoarchitecturally defined subregions. Instead, spontaneous activity and tuning to choice during a behavioral task were both related to intra-PFC hierarchy, suggesting that connectivity, rather than cytoarchitecture, shapes the PFC's activity landscape. Low-rate, regular spontaneous firing was a hallmark of both the PFC and high hierarchy. Surprisingly, choice tuning was overrepresented in units displaying high spontaneous firing rates, linking connectivity-based hierarchy to distinct functional properties in separate neuronal populations. Our data-driven approach provides a scalable roadmap to explore functional organizations in diverse brain regions and species, opening avenues to obtain an integrated view of activity, structure and function in the brain.

Indexed as

Action PotentialsBrain MappingNeuronsPrefrontal CortexAnimalsChoice BehaviorMaleMiceMice, Inbred C57BL

Identifiers

PMID41559475
PMCPMC12971490

What Socratic holds

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LicenceCC BY
Read underepoch 390

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.