Electroencephalography Signatures Associated with Developmental Dyslexia Identified Using Principal Component Analysis.

ABSTRACT: Background/Objectives: Developmental dyslexia is characterised by neuropsychological processing deficits and marked hemispheric functional asymmetries. To uncover latent neurophysiological features linked to reading impairment, we applied dimensionality reduction and clustering techniques to high-density electroencephalographic (EEG) recordings. We further examined the functional relevance of these features to reading performance under standardised test conditions. Methods: EEG data were collected from 200 children (100 with dyslexia and 100 age- and IQ-matched typically developing controls). Principal Component Analysis (PCA) was applied to high-dimensional EEG spectral power datasets to extract latent neurophysiological components. Twelve principal components, collectively

SUBMITTER: Eroglu G 

PROVIDER: S-EPMC12427922 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature