Evidence map›Paper›PMID 38609413›Full record

ArticleNPJ science of learning2024

Evidence for a competitive relationship between executive functions and statistical learning.

Felipe Pedraza, Bence C Farkas, Teodóra Vékony, Frederic Haesebaert, Romane Phelipon, Imola Mihalecz, Karolina Janacsek, Royce Anders, Barbara Tillmann, Gaën Plancher and 1 more

Abstract read
In one paragraph

Article in NPJ science of learning, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Felipe Pedraza *Laboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Bron, France.ORCID http://orcid.org/0000-0002-3601-1524
Bence C Farkas *Institut du Psychotraumatisme de l'Enfant et de l'Adolescent, Conseil Départemental Yvelines et Hauts-de-Seine et Centre Hospitalier des Versailles, 78000, Versailles, France.ORCID http://orcid.org/0000-0003-1815-5054
Teodóra VékonyCentre de Recherche en Neurosciences de Lyon, INSERM, CNRS, Université Claude Bernard Lyon 1, CRNL U1028 UMR5292, 95 Boulevard Pinel, F-69500, Bron, France. teodora.vekony@inserm.fr.
Frederic HaesebaertCentre de Recherche en Neurosciences de Lyon, INSERM, CNRS, Université Claude Bernard Lyon 1, CRNL U1028 UMR5292, 95 Boulevard Pinel, F-69500, Bron, France.
Romane PheliponCentre de Recherche en Neurosciences de Lyon, INSERM, CNRS, Université Claude Bernard Lyon 1, CRNL U1028 UMR5292, 95 Boulevard Pinel, F-69500, Bron, France.
Imola MihaleczCentre de Recherche en Neurosciences de Lyon, INSERM, CNRS, Université Claude Bernard Lyon 1, CRNL U1028 UMR5292, 95 Boulevard Pinel, F-69500, Bron, France.
Karolina JanacsekCentre for Thinking and Learning, Institute for Lifecourse Development, School of Human Sciences, Faculty of Education, Health and Human Sciences, University of Greenwich, Old Royal Naval College, Park Row, 150 Dreadnought, London, SE10 9LS, UK.ORCID http://orcid.org/0000-0001-7829-8220
Royce AndersEPSYLON Laboratory, Department of Psychology, University Paul Valéry Montpellier 3, F34000, Montpellier, France.
Barbara TillmannCentre de Recherche en Neurosciences de Lyon, INSERM, CNRS, Université Claude Bernard Lyon 1, CRNL U1028 UMR5292, 95 Boulevard Pinel, F-69500, Bron, France.ORCID http://orcid.org/0000-0001-9676-5822
Gaën PlancherLaboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Bron, France.
Dezső NémethCentre de Recherche en Neurosciences de Lyon, INSERM, CNRS, Université Claude Bernard Lyon 1, CRNL U1028 UMR5292, 95 Boulevard Pinel, F-69500, Bron, France. dezso.nemeth@inserm.fr.ORCID http://orcid.org/0000-0002-9629-5856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to interact in a competitive manner with prefrontal lobe-related networks and their characteristic cognitive or executive functions. However, it remains unclear whether these cognitive functions also possess a competitive relationship with implicit statistical learning across individuals and at the level of latent executive function components. In order to address this currently unknown aspect, we investigated, in two independent experiments (N

Identifiers

PMID38609413
PMCPMC11014972

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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 OpenQuestion graph.