Exploratory EEG data analysis for psychophysiological experiments.
A method for the exploratory analysis of electroencephalographic (EEG) data for neurophysiological experiments is presented. It is based on a time-frequency decomposition of the EEG time series, which is measured by several electrodes in the scalp surface, and includes the computation of a statistic that measures the deviations of the log-power with respect to the pre-stimulus average; the computation of a significance index for these deviations; a new type of display (the time-frequency-topography plot) for the visualization of these indices, and the segmentation of the time-frequency plane into regions with uniform activation patterns. As a particular example, an experiment to study EEG changes during figure and word categorization is analyzed in detail.
Center for Research in Mathematics, Guanajuato, Gto. 36000, Mexico. jlm@cimat.mx
Jose L
JL
Marroquin
Thalia
T
Harmony
Veronica
V
Rodriguez
Pedro
P
Valdes
D000465:Algorithms; D001499:Bayes Theorem; D002648:Child; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D011603:Psychophysiology / Q000295:instrumentation* / Q000706:statistics & numerical data*; D013997:Time Factors