DOI: 10.36347/sjams.2017.v05i07.061

Pages: 2823-2829

Temporal lobe Epileptic (TLE) seizures are preceded by changes in signal properties detectable by scalp EEG but our ability to understand brain dynamics associated with epilepsy remains limited. EEG-based epilepsy diagnosis and seizure detection is still in its early experimental stages. The problem is further amplified for the design and development of automated algorithms, which requires a quantitative parametric representation of the qualitative or visual aspect of the markers. The study was performed in Department of Physiology, SMS Medical College in collaboration with Department of Neurology and Medicine. Using EEG data from 16 controls and 16 temporal lobe epilepsy (TLE) patients, in this study we characterize how the dynamics of the healthy brain differ from the dynamically balanced state of the brain of epilepsy patients treated with anti-epileptic drugs in the context of resting state during eye close session. Such differences can be observed by using absolute spectral band power from BESS ((Brain Electro Scan Software) of the Axxonet System and network measures by applied unpaired student t -test. During eye close, fronto- central theta (p 0.0004), beta (p 0.00005) and gamma (p 0.0179), bands absolute spectral power found significant difference in temporal lobe epileptic patients during interictal period of epilepsy when compared with healthy controls. In conclusion we found that low frequency band mainly theta and high frequency band beta were more pronounced in fronto central region of brain in temporal lobe epileptic patients. Though frontal region is requisit to short-term memory so the patients of TLE may be suffer from memory dysfunction in future. Various linear and nonlinear analytical methods would be helpful in extracting information from EEG signals in diagnosing specific neuronal correlates for TLE.