Diagnosis of epilepsy and evaluation of anti-epileptic drugs by resting qEEG analysis in the man and women patients

Introduction: Currently, the recording and digitalization of EEG is possible due to development of electrophysiological instruments. Increased in repeated patterns in EEG as a time series indicates occurrence of neuronal hyper-synchronization and epilepsy. The occurrence of this phenomenon can be evaluated by self-similarity exponents. In this research, epilepsy was detected and efficacy of its medication by attention the patient sex was studied with help of these exponents. Materials and Methods: Self-similarity exponents α1, α2 and η and ν factors were calculated by detrended fluctuation analysis method for two minute resting EEG recording from 16 healthy persons (8 men and 8 women) and 21 generalized epileptic patients (8 men and 13 women) that received different anti-seizure medications. Body mass index and waist to hip ratio of all participation was measured. Results: The metabolic indexes have not any significant difference between groups. Only self similarity exponent α2 was shown significant (p