Dynamic Brain Sources of Single-Trial Auditory Evoked Potentials Data Using Complex ICA Approach

Liangyu Zhao, Jianting Cao, Tetsuya Hoya, Andrzej Cichocki

Abstract:

In this study, a robust pre-whitening technique
and independent component analysis (ICA) approach are ap
plied to unaveraged single-trial multichannel EEG data from
auditory evoked potential (AEP) experiments. Single-trial event
related potential (ERP) data are usually averaged firstly to
analysis in order to increase their signal/noise in electroen
cephalographic (EEG) experiment. However, averaging ignores
the trial-by-trial variation of the amplitude. Our approach is
based upon the two techniques: decorrelation with a high
level additive noise reduction and decomposition of individual
source components. The results on the unaveraged auditory
evoked potential single-trial data analysis illustrate that not
only the behavior and location but also the activity strength
(amplitude) and dynamics of the individual evoked response
can be visualized by the proposed method.