Daftar Isi: EEG TIME SERIES DATA ANALYSIS IN FOCAL CEREBRAL ISCHEMIC RAT MODEL

Daftar Isi:

The mammalian brain exists in a number of attractors. In order to characterize these attractors we have collected the time series data from the EEG recording of rat models. The time series was obtained by recording of the frontoparietal, occipital and temporal regions of the rat brain. Significant changes have been observed in the dimensionalities of these brain attractors between the normal state, focal ischemic state and the drug induced state. Thus, these three states were characterized by unique lyapunov exponents, correlation dimensions and embedding dimensions. The inverse of the lyapunov exponent gave us the long term coherence of the rat brain and was found to differ for the three states. The autocorrelation function measured the mean similarity of the EEG signal with itself after a time t. The degree of decay was high indicating that there was maximum correlation in the time series. Thus, the autocorrelation functions clearly indicate the effect of focal cerebral ischemia and drugs induced on the rat brain.