Dynamic Analysis of Encephalic Activity
The application of nonlinear dynamical analysis techniques to electroencephalograms (EEGs) and evoked potentials (EPs) is described. The first method involves the extraction of features from state-space trajectories reconstructed from EEG segments recorded immediately prior to the presentation of a light flash. The feature vectors were used in a clustering procedure to produce classes of similar prestimulus EEG segments. Averaged evoked potentials were computed for each class and distinct differences between EPs were observed. In a second experiment, a neurophysiologically-based model of EEG generation was tested to determine its response to impulse-like inputs. It was found that this model produced EP-like activity. This suggests that the generators of the EP are located in the cortex.
KeywordsSleep Stage Alpha Activity Alpha Rhythm Linear Transfer Function Time Series Interval
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