Clustering of neuropsychological traits of preschoolers

Abstract Neuropsychological tests (targeting cognitive, linguistic, motor, and executive abilities) are grouped in neuropsychological domains that are thought to be stable through adulthood. However, this assumption does not always hold true, particularly during young children’s early developmental...

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Autores principales:	Mario Treviño, Beatriz Beltrán-Navarro, Ricardo Medina-Coss y León, Esmeralda Matute
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/51fae2b541f141b7b0313311ccba5154
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spelling	oai:doaj.org-article:51fae2b541f141b7b0313311ccba51542021-12-02T17:04:06ZClustering of neuropsychological traits of preschoolers10.1038/s41598-021-85891-22045-2322https://doaj.org/article/51fae2b541f141b7b0313311ccba51542021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85891-2https://doaj.org/toc/2045-2322Abstract Neuropsychological tests (targeting cognitive, linguistic, motor, and executive abilities) are grouped in neuropsychological domains that are thought to be stable through adulthood. However, this assumption does not always hold true, particularly during young children’s early developmental phase. Here, we explored how the neuropsychological profile of typical Spanish-speaking preschoolers varied and consolidated with age. We recruited 643 monolingual Latin-American children from Mexico, Colombia, and Guatemala, with ages spanning from 30 to 71 months of age, and applied a novel neuropsychological examination which combined a total of 52 tests covering five classical neuropsychological domains: receptive, expressive, attention/memory, processing, and executive functions. These tests’ scores uncovered a correlational structure across neuropsychological functions that could not be explained by chance. Notably, these correlations’ overall strength, but not their interdependence across domains, dramatically increased with age. Moreover, by applying conventional clustering techniques to classify the experimental data, we found a stable representation of two clusters of children with distinctive traits, with cultural factors contributing to this classification scheme. We also found that the tasks were well organized in a network of abilities, where nodes with highest highest interconnectedness were those that required multimodal processing. These results contribute to our understanding of children’s ‘normal’ development and could help identify how failure in particular functions forecasts the emergence of neurodevelopmental disorders. Our analytic methods might become useful to characterize individual differences and improve educational practices and interventions.Mario TreviñoBeatriz Beltrán-NavarroRicardo Medina-Coss y LeónEsmeralda MatuteNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mario Treviño Beatriz Beltrán-Navarro Ricardo Medina-Coss y León Esmeralda Matute Clustering of neuropsychological traits of preschoolers
description	Abstract Neuropsychological tests (targeting cognitive, linguistic, motor, and executive abilities) are grouped in neuropsychological domains that are thought to be stable through adulthood. However, this assumption does not always hold true, particularly during young children’s early developmental phase. Here, we explored how the neuropsychological profile of typical Spanish-speaking preschoolers varied and consolidated with age. We recruited 643 monolingual Latin-American children from Mexico, Colombia, and Guatemala, with ages spanning from 30 to 71 months of age, and applied a novel neuropsychological examination which combined a total of 52 tests covering five classical neuropsychological domains: receptive, expressive, attention/memory, processing, and executive functions. These tests’ scores uncovered a correlational structure across neuropsychological functions that could not be explained by chance. Notably, these correlations’ overall strength, but not their interdependence across domains, dramatically increased with age. Moreover, by applying conventional clustering techniques to classify the experimental data, we found a stable representation of two clusters of children with distinctive traits, with cultural factors contributing to this classification scheme. We also found that the tasks were well organized in a network of abilities, where nodes with highest highest interconnectedness were those that required multimodal processing. These results contribute to our understanding of children’s ‘normal’ development and could help identify how failure in particular functions forecasts the emergence of neurodevelopmental disorders. Our analytic methods might become useful to characterize individual differences and improve educational practices and interventions.
format	article
author	Mario Treviño Beatriz Beltrán-Navarro Ricardo Medina-Coss y León Esmeralda Matute
author_facet	Mario Treviño Beatriz Beltrán-Navarro Ricardo Medina-Coss y León Esmeralda Matute
author_sort	Mario Treviño
title	Clustering of neuropsychological traits of preschoolers
title_short	Clustering of neuropsychological traits of preschoolers
title_full	Clustering of neuropsychological traits of preschoolers
title_fullStr	Clustering of neuropsychological traits of preschoolers
title_full_unstemmed	Clustering of neuropsychological traits of preschoolers
title_sort	clustering of neuropsychological traits of preschoolers
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/51fae2b541f141b7b0313311ccba5154
work_keys_str_mv	AT mariotrevino clusteringofneuropsychologicaltraitsofpreschoolers AT beatrizbeltrannavarro clusteringofneuropsychologicaltraitsofpreschoolers AT ricardomedinacossyleon clusteringofneuropsychologicaltraitsofpreschoolers AT esmeraldamatute clusteringofneuropsychologicaltraitsofpreschoolers
_version_	1718381847854972928

Clustering of neuropsychological traits of preschoolers

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