Evidence map›Paper›PMID 36038599›Full record

ArticleScientific reports2022

A network analysis of executive functions before and after computerized cognitive training in children and adolescents.

Iris Menu, Gabriela Rezende, Lorna Le Stanc, Grégoire Borst, Arnaud Cachia

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In one paragraph

Article in Scientific reports, 2022. 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Iris MenuLaboratoire de Psychologie du Développement et de l'Education, UMR CNRS 8240, Universite Paris Cité, Paris, France.
Gabriela RezendeLaboratoire de Psychologie du Développement et de l'Education, UMR CNRS 8240, Universite Paris Cité, Paris, France.
Lorna Le StancLaboratoire de Psychologie du Développement et de l'Education, UMR CNRS 8240, Universite Paris Cité, Paris, France.
Grégoire Borst *Laboratoire de Psychologie du Développement et de l'Education, UMR CNRS 8240, Universite Paris Cité, Paris, France.
Arnaud Cachia *Laboratoire de Psychologie du Développement et de l'Education, UMR CNRS 8240, Universite Paris Cité, Paris, France. arnaud.cachia@u-paris.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Executive functions (EFs) play a key role in cognitive and socioemotional development. Factor analyses have revealed an age dependent structure of EFs spanning from a single common factor in early childhood to three factors in adults corresponding to inhibitory control (IC), switching and updating. IC performances change not only with age but also with cognitive training. Surprisingly, few studies have investigated training-related changes in EFs structure. We used the regularized partial correlation network model to analyze EFs structure in 137 typically developing children (9-10 years) and adolescents (15-17 years) before and after computerized cognitive training. Network models (NMs) -a graph theory-based approach allowing us to describe the structure of complex systems- can provide a priori free insight into EFs structures. We tested the hypothesis that training-related changes may mimic developmental-related changes. Quantitative and qualitative changes were detected in the EFs network structure with age and also with cognitive training. Of note, the EFs network structure in children after training was more similar to adolescents' networks than before training. This study provided the first evidence of structural changes in EFs that are age and training-dependent and supports the hypothesis that training could accelerate the development of some structural aspects of EFs. Due to the sample size, these findings should be considered preliminary before replication in independent larger samples.

Indexed as

Cognition DisordersExecutive FunctionAdolescentChildChild, PreschoolCognitionHumans

Identifiers

PMID36038599
PMCPMC9424216

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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.