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

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. 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. The metabolic indexes have not any significant difference between groups. Only self similarity exponent α2 was shown significant (p<0. 05) difference between male epileptic patients and healthy persons. The η and ν exponents of epileptic patients was shown a significant (p<0. 05) difference with healthy ones without consideration of its gender. The male epileptic patients ν factor have significant difference (p<0. 05) with healthy one. These exponents and factors have diagnostic potency for detection of healthy persons from epileptic patients even after treatment with anti-seizure drugs. Also، the results indicate that anti-epileptic drugs can cause effective suppression of EEG hypersynchronization in women than men