Wavelet entropy differentiations of event related potentials in dyslexia

Abstract

The wavelet entropy (WE) of rest electroencephalogram (EEG) and of event-related potentials (ERP) carries information about the degree of order or disorder associated with a multi-frequency brain electrophysiological activity. In the present study, WE, relative WE and WE change were estimated for the EEG and ERP signals recorded during a working memory task, from dyslectic children and healthy subjects. The analysis of the two groups (controls vs dyslectics) revealed differentiations mainly in relative WE and WE change that takes into account the variability of rest EEG. These findings indicate that the WE can be employed as a quantitative measure for monitoring EEG and ERP activities and may provide a useful tool in analyzing electrophysiological signals associated with dyslexia.

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