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Exploratory EEG data analysis for psychophysiological experiments.

Jose L Marroquin·Thalia Harmony·Veronica Rodriguez·Pedro Valdes
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Abstract

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.

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AlgorithmsBayes TheoremChildData Interpretation, StatisticalElectroencephalographyFemaleHumansMalePsychophysiologyTime FactorsJournal ArticleResearch Support, Non-U.S. Gov't

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Jose L Marroquin, Thalia Harmony, Veronica Rodriguez, Pedro Valdes. 2004. Exploratory EEG data analysis for psychophysiological experiments.. https://doi.org/10.1016/j.neuroimage.2003.10.031

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