Working Memory in Children with Learning Disorders: An EEG Power Spectrum Analysis

• DOI: 10.3390/brainsci10110817
• Publication Date: 2020-11-04T15:32:36Z
• Authors: Benito Martínez-B...; Thalía Fernández-...; Nicolás Garófalo ...; Rolando Biscay-Lirio; Jorge Bosch-Bayard
• Keywords: 03 medical and health sciences; source localization; 0302 clinical medicine; learning disorders; sLORETA; school-age children; EEG power spectral density; working memory; Article

Learning disorders (LDs) are diagnosed in children whose academic skills of reading, writing or mathematics are impaired and lagging according to their age, schooling and intelligence. Children with LDs experience substantial working memory (WM) deficits, even more pronounced if more than one of the academic skills is affected. We compared the task-related electroencephalogram (EEG) power spectral density of children with LDs (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 interest (ROIs) were chosen with an extended version of the eigenvector centrality mapping technique. In this way, we lessened 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 in the WM task, an overall slower EEG with more delta and theta activity, and less high-frequency gamma activity in posterior areas. We explain these EEG patterns in LD children as indices of an inefficient neural resource management related with a delay in neural maturation.