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1.
Brain Sci ; 11(7)2021 Jul 06.
Article in English | MEDLINE | ID: covidwho-1323114

ABSTRACT

The author wishes to make an erratum to the published version of the paper [...].

2.
Brain Sci ; 10(8)2020 Aug 07.
Article in English | MEDLINE | ID: covidwho-828127

ABSTRACT

Excessive daytime sleepiness is a frequent condition among children and adolescents that may lead to several and significant daytime consequences, including impaired neurocognitive skills and scholastic performance. Here, we evaluated in one hundred and ninety-one unselected primary school children, the relationship between sleepiness and a wide range of cognitive and academic skills through a standardized neuropsychological test battery. In order to assess the statistical relationship, we performed a partial least squares path modelling, a non-parametrical approach which combined a model of paths between latent variables and the coefficients between indicators and dimensions. Results were validated through the bootstrap approach and suggest that sleepiness is not associated with all cognitive and scholastic abilities, but only with those relying on verbal abilities and complex cognitive functions (i.e., reading comprehension, oral/syntactic comprehension, spelling, and mathematic skills). Our data suggest the idea that sleepiness in children is associated mostly with "higher" (mainly verbal) cognitive function(s), while the visuospatial domain was not affected.

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