Evidence map›Paper›PMID 39333062›Full record

ArticleNature communications2024

Causal involvement of dorsomedial prefrontal cortex in learning the predictability of observable actions.

Pyungwon Kang, Marius Moisa, Björn Lindström, Alexander Soutschek, Christian C Ruff, Philippe N Tobler

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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.

Pyungwon KangZurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland. pyungwon.kang@gmail.com.ORCID 0009-0006-7116-5904
Marius MoisaZurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-9789-3383
Björn LindströmDepartment of Clinical Neuroscience, Division for Psychology, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-2121-8370
Alexander SoutschekLudwig Maximilian University Munich, Department for Psychology, Munich, Germany.ORCID 0000-0001-8438-7721
Christian C RuffZurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-3964-2364
Philippe N ToblerZurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-4915-9448

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) SO 1636/2-1EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 725355EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) BRAINCODESEC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) SOLAR ERC-2021-STG - 101042529Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) KAW 2021.0148Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 100014_165884Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 10001C_188878Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) IZKSZ3_162109Universität Zürich (University of Zurich) K-33151-02-01Universität Zürich (University of Zurich) URPP AdaBD
6 · The paper itself

Abstract

Social learning is well established across species. While recent neuroimaging studies show that dorsomedial prefrontal cortex (DMPFC/preSMA) activation correlates with observational learning signals, the precise computations that are implemented by DMPFC/preSMA have remained unclear. To identify whether DMPFC/preSMA supports learning from observed outcomes or observed actions, or possibly encodes even a higher order factor (such as the reliability of the demonstrator), we downregulate DMPFC/preSMA excitability with continuous theta burst stimulation (cTBS) and assess different forms of observational learning. Relative to a vertex-cTBS control condition, DMPFC/preSMA downregulation decreases performance during action-based learning but has no effect on outcome-based learning. Computational modeling reveals that DMPFC/preSMA cTBS disrupts learning the predictability, a proxy of reliability, of the demonstrator and modulates the rate of learning from observed actions. Thus, our results suggest that the DMPFC is causally involved in observational action learning, mainly by adjusting the speed of learning about the predictability of the demonstrator.

Indexed as

Prefrontal CortexTranscranial Magnetic StimulationAdultFemaleHumansLearningMaleSocial LearningYoung Adult

Identifiers

PMID39333062
PMCPMC11436984

What OpenQuestion holds

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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.