Nonlinear analysis of EEG signals at different mental states

BACKGROUND: The EEG (Electroencephalogram) is a representative signal containing information about the condition of the brain. The shape of the wave may contain useful information about the state of the brain. However, the human observer can not directly monitor these subtle details. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time scale. Therefore, the EEG signal parameters, extracted and analyzed using computers, are highly useful in diagnostics. This work discusses the effect on the EEG signal due to music and reflexological stimulation. METHODS: In this work, nonlinear parameters like Correlation Dimension (CD), Largest Lyapunov Exponent (LLE), Hurst Exponent (H) and Approximate Entropy (ApEn) are evaluated from the EEG signals under different mental states. RESULTS: The results obtained show that EEG to become less complex relative to the normal state with a confidence level of more than 85% due to stimulation. CONCLUSIONS: It is found that the measures are significantly lower when the subjects are under sound or reflexologic stimulation as compared to the normal state. The dimension increases with the degree of the cognitive activity. This suggests that when the subjects are under sound or reflexologic stimuli, the number of parallel functional processes active in the brain is less and the brain goes to a more relaxed stat

PROPAGATION OF EPILEPTIFORM ACTIVITY DURING DEVELOPMENT OF AMYGDALA KINDLING IN RATS - LINEAR AND NONLINEAR ASSOCIATION BETWEEN IPSILATERAL AND CONTRALATERAL SITES

The relationship between ipsi- and contralateral epileptiform electroencephalographic (EEG) activity was investigated in rats that were kindled daily in the amygdala. Two types of relationship-linear and non-linear associations-were studied and used to estimate time delays of EEG activity between homotopic amygdalar sites during consecutive tetanizations. The progressive development of epileptiform EEG and convulsive behaviour was accompanied by an increase in association. Maximal association values of the non-linear function were significantly higher than linear association values. The gradual development of motor seizure severity was correlated with increased non-linearity. Time delays between the two amygdalae were estimated comparably with the linear and non-linear function: 30.0 +/- 3.3 and 24.6 +/- 1.7 ms (ipsilateral leading contralateral), respectively. However, in rats displaying exclusively bilaterally generalized motor convulsions, maximal values of both functions decreased but were still significantly higher than control values of phase-randomized EEG. Corresponding positive as well as negative interhemispheric time delays were recorded during the afterdischarge. These results demonstrated a strengthened association between the ipsi- and contralateral amygdala during primary epileptogenesis induced by amygdala kindling. In contrast, development of a secondary focus in the contralateral homotopic region resulted in a weakened interhemispheric association. Secondary bilateral synchrony between the ipsi- and contralateral amygdala occurred during the evoked epileptiform EEG activity