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

Area of Science:

• Neuroscience
• Developmental Psychology
• Educational Psychology

Background:

• Learning disorders (LDs) are characterized by impaired academic skills relative to age, schooling, and intelligence.
• Children with LDs often present with significant working memory (WM) deficits, which can be more severe when multiple academic areas are affected.

Purpose of the Study:

• To compare the task-related electroencephalogram (EEG) power spectral density between children with LDs and a control group during a WM task.
• To investigate neural underpinnings of WM deficits in children with LDs using source-level EEG analysis.

Main Methods:

• EEG power spectral density was analyzed in children with LDs (n=23) and controls (n=22) during a WM task.
• Source localization was performed using sLoreta, with 18 brain regions of interest (ROIs) selected via eigenvector centrality mapping.
• Analysis focused on brain-source level data to overcome limitations of traditional sensor-space EEG.

Main Results:

• The LD group demonstrated fewer correct responses on the WM task.
• EEG analysis revealed slower overall activity, characterized by increased delta and theta power, and decreased gamma power in posterior regions for the LD group.
• These findings indicate inefficient neural resource management and potentially delayed neural maturation in children with LDs.

Conclusions:

• EEG patterns in children with LDs suggest inefficient neural processing during WM tasks.
• The observed EEG differences may reflect a delay in neural maturation, contributing to the cognitive challenges faced by these children.
• Source-level EEG analysis provides valuable insights into the neural mechanisms underlying learning disorders.