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Functional networks of working memory abilities in children with complex congenital heart disease: a sleep EEG study.

Authors :
Wehrle, Flavia M.
Furrer, Melanie
Feldmann, Maria
Liamlahi, Rabia
Naef, Nadja
O'Gorman, Ruth
Latal, Beatrice
Huber, Reto
Source :
Child Neuropsychology; 2023, Vol. 29 Issue 7, p1109-1127, 19p, 2 Charts, 1 Graph, 1 Map
Publication Year :
2023

Abstract

Working memory is frequently impaired in children with complex congenital heart disease (CHD), but little is known about the functional neuronal correlates. Sleep slow wave activity (SWA; 1–4.5 Hz EEG power) has previously been shown to reliably map neurofunctional networks of cognitive abilities in children with and without neurodevelopmental impairments. This study investigated whether functional networks of working memory abilities are altered in children with complex CHD using EEG recordings during sleep. Twenty-one children with complex CHD (aged 10.9 [SD: 0.3] years) and 17 typically-developing peers (10.5 [0.7] years) completed different working memory tasks and an overnight high-density sleep EEG recording (128 electrodes). The combined working memory score tended to be lower in children with complex CHD (CHD group: −0.44 [1.12], typically-developing group: 0.55 [1.24], d = 0.59, p =.06). The working memory score and sleep SWA of the first hour of deep sleep were correlated over similar brain regions in both groups: Strong positive associations were found over prefrontal and fronto-parietal brain regions – known to be part of the working memory network – and strong negative associations were found over central brain regions. Within these working memory networks, the associations between working memory abilities and sleep SWA (r between −.36 and.58, all p <.03) were not different between the two groups (no interactions, all p >.05). The current findings suggest that sleep SWA reliably maps working memory networks in children with complex CHD and that these functional networks are generally preserved in these patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09297049
Volume :
29
Issue :
7
Database :
Complementary Index
Journal :
Child Neuropsychology
Publication Type :
Academic Journal
Accession number :
169951910
Full Text :
https://doi.org/10.1080/09297049.2022.2140796