EEG based functional brain networks analysis in dyslexic children during arithmetic task

Area of Science:

• Neuroscience
• Developmental Psychology
• Cognitive Science

Background:

• Developmental dyslexia is a neurodevelopmental disorder characterized by phonological processing deficits.
• Understanding the neural underpinnings of cognitive tasks in dyslexic children is crucial.

Purpose of the Study:

• To investigate functional brain network changes in dyslexic children during arithmetic task performance.
• To compare brain network topology between dyslexic children and normally developing children (NDC).

Main Methods:

• Electroencephalogram (EEG) was used to record brain activity in 15 dyslexic and 15 NDC children.
• Graph theory methods were applied to analyze functional network measures (node strength, clustering coefficient, characteristic pathlength).
• Connectivity patterns were examined across different frequency bands (delta, theta, alpha, beta, gamma).

Main Results:

• Dyslexic children demonstrated significantly lower accuracy in arithmetic tasks compared to NDC.
• Increased delta band connectivity and reduced theta, alpha, and beta band connectivity were observed in temporoparietal and prefrontal regions of dyslexic children.
• Altered node strengths, reduced clustering coefficient (theta, alpha bands), and increased characteristic pathlength (theta, alpha bands) were found in dyslexic participants.

Conclusions:

• The findings suggest a poor fact-retrieval mechanism in dyslexic children during arithmetic tasks.
• Evidence points towards an altered network topology in the brains of dyslexic children.
• These neurophysiological differences highlight specific challenges faced by dyslexic individuals in numerical cognition.