Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

EEG Power Spectrum Correlates of Working Memory in Children with Learning Disorders

Version 1 : Received: 17 September 2020 / Approved: 18 September 2020 / Online: 18 September 2020 (18:54:54 CEST)

A peer-reviewed article of this Preprint also exists.

Martínez-Briones, B.J.; Fernández-Harmony, T.; Garófalo Gómez, N.; Biscay-Lirio, R.J.; Bosch-Bayard, J. Working Memory in Children with Learning Disorders: An EEG Power Spectrum Analysis. Brain Sci. 2020, 10, 817. Martínez-Briones, B.J.; Fernández-Harmony, T.; Garófalo Gómez, N.; Biscay-Lirio, R.J.; Bosch-Bayard, J. Working Memory in Children with Learning Disorders: An EEG Power Spectrum Analysis. Brain Sci. 2020, 10, 817.

Abstract

Learning disorders (LD) are diagnosed in children whose academic skills of reading, writing or mathematics are impaired and lagged according to their age, schooling and intelligence. Children with LD experience substantial working memory (WM) deficits, even more pronounced if more than one of the academic skills is affected. We compared the task-related EEG power spectral density of children with LD (n= 23), with a control group of children with good academic achievement (n= 22), during the performance of a WM task. sLoreta was used to estimate the current distribution at the sources, and 18 brain regions of interests (ROIs) were chosen with an extended version of the eigenvector centrality mapping technique. In this way, we lessen some drawbacks of the traditional EEG at the sensor space by an analysis at the brain sources level over data-driven selected ROIs. Results: The LD group showed fewer correct responses at the WM task, an overall slower EEG with more theta activity in all ROIs, less upper-alpha power at posterior areas, and less high-frequency beta activity in frontal areas. We explain these EEG patterns in LD children as indices of an inefficient neural resource management related with a delay in the neural development.

Keywords

learning disorders; working memory; school-age children; EEG power spectral density; source localization; sLORETA

Subject

Social Sciences, Cognitive Science

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