Analysis of EEG-EP variabilities: a parametric approach

A user friendly Evoked Potential (EP) analysis software is developed, which include data processing procedures relevant to both basic EP research and routine clinical applications. The software also allows analysis of data in time and frequency domains by means of parametric and nonparametric signal analysis methods. All the parameters of the applied techniques can easily be accessed by the user through the menu-driven user interface. A method based on parametric modeling of pre-stimulus EEG period and post-stimulus EEG-EP period of evoked potential data is developed to find out the descriptors of a combined EEG-EP model to explain the trial-by-trial variability of EPs to repetitions of the same stimulus. The application of the proposed method to real EP data revealed a close relationship between the characteristics of the pre-stimulus EEG and EP which made it possible to estimate single EPs by clustering single sweeps according to their pre-stimulus EEG characteristics