Evidence map›Paper›PMID 42830304›Full record

ArticleNature communications2026

Longitudinal evidence for decreasing statistical learning abilities across childhood.

Eszter Tóth-Fáber, Bence C Farkas, Tímea Tánczos, Dezső Németh, Karolina Janacsek

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eszter Tóth-Fáber *Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.ORCID 0000-0001-7538-9995
Bence C Farkas *LNC2, Département d'études Cognitives, École Normale Supérieure, INSERM, PSL Research University, Paris, France.ORCID 0000-0003-1815-5054
Tímea Tánczos *Department of Cognitive and Neuropsychology, Institute of Psychology, University of Szeged, Szeged, Hungary.
Dezső Németh *Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, Bron, France. dezso.nemeth@inserm.fr.
Karolina Janacsek *Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary. janacsek.karolina@ppk.elte.hu.ORCID 0000-0001-7829-8220

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-24-CE37-5807
6 · The paper itself

Abstract

Statistical learning enables us to identify patterns in our environment and predict future events, thereby supporting a range of motor, cognitive, and linguistic skills. Despite its significance, the developmental trajectory of statistical learning has remained unclear due to a lack of comprehensive longitudinal studies. Cross-sectional research has hinted at enhanced statistical learning in children up to 11-13 years, followed by a decline into adulthood, yet definitive insights require a longitudinal approach. Our study addresses this gap by assessing statistical learning in the same participants at ages 7, 8, 11, and 14. Utilising linear mixed models and latent class analyses, we observe a decline in statistical learning with age, and find that higher executive functions-cognitive functions that underlie higher-order goal-directed behaviour-are associated with this decline. This study provides evidence that statistical learning is more effective in early childhood, offering insights into the developmental trajectory of this fundamental cognitive ability.

Indexed as

Child DevelopmentLearningAdolescentChildCognitionExecutive FunctionFemaleHumansLongitudinal StudiesMale

Identifiers

PMID42830304
PMCPMC13635216

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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.