Abstract
The characteristics of neurodynamics of intracranial electroencephalogram (EEG) at different frequency bands were investigated in a sample of two patients with epilepsy. The results indicate a tendency for the gamma, theta, and alpha frequency bands in EEG signals to have a higher dimensional complexity than the beta and gamma frequency bands. We also investigate the time–frequency component decomposition of EEG signals and observe very different perceptual complexity and a difference in evoked spectral responses, which could be a reflection of neuronal recruitment that triggers the epileptogenic process. The results of this study may provide insights to the brain network’s mechanism by which local and regional circuits can continuously form and reform with different regions functionally disconnected from other brain areas.
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