A network analysis of executive functions before and after computerized cognitive training in children and adolescents.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
29 08 2022
29 08 2022
Historique:
received:
30
09
2021
accepted:
29
07
2022
entrez:
29
8
2022
pubmed:
30
8
2022
medline:
1
9
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 36038599
doi: 10.1038/s41598-022-17695-x
pii: 10.1038/s41598-022-17695-x
pmc: PMC9424216
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
14660Informations de copyright
© 2022. The Author(s).
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