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Entropy based on the wavelet transform reflects the degree of order/disorder of the signals. It can provide additional information about the underlying dynamical process associated with the signal. Our aim was to demonstrate the applicability of wavelet entropy measures to analysis of neural firing of normal rats and temporal lobe epilepsy (TLE) rats. TLE neurons occurred at lower total wavelet entropy...
Based on a nonlinear brainstem-thalamus-cerebral cortex dynamic model, a control signal module is added to the cerebral cortex neuclei. Normal, abnormal and controlled state of brainstem function can be successfully simulated with the model on Simulink platform of Matlab. A periodic signal (square pulse) or nonperiodic signal (gauss noise) is imposed on the model. Three quantitative indexes (amplitude,...
The aim of this study is to investigate whether EEG coherence during different functional states facilitates the detection of AD-related EEG changes; and which brain regions these changes were. The EEGs in both rest and performing the cognitive task states of 3 groups was recorded for coherence measure. The 3 groups are the mild cognitive impairment (MCI) group, Alzheimer's disease (AD) and the healthy...
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