Exploration of event-induced EEG phase synchronization patterns in cognitive tasks using a time-frequency-topography visualization system.
In this paper, we present a method for the study of synchronization patterns measured from EEG scalp potentials in psychophysiological experiments. This method is based on various techniques: a time-frequency decomposition using sinusoidal filters which improve phase accuracy for low frequencies, a Bayesian approach for the estimation of significant synchrony changes, and a time-frequency-topography visualization technique which allows for easy exploration and provides detailed insights of a particular experiment. Particularly, we focus on in-phase synchrony using an instantaneous phase-lock measure. We also discuss some of the most common methods in the literature, focusing on their relevance to long-range synchrony analysis; this discussion includes a comparison among various synchrony measures. Finally, we present the analysis of a figure categorization experiment to illustrate our method.
Alba
Alfonso
A
Centro de Investigation en Matematicas (CIMAT), Guanajuato, Mexico. falbac@cimat.mx
Marroquin
Jose L
JL
Peña
Joaquin
J
Harmony
Thalia
T
Gonzalez-Frankenberger
Berta
B
D001499:Bayes Theorem; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000502:physiology*; D002648:Child; D003344:Cortical Synchronization; D005260:Female; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009483:Neuropsychological Tests; D010775:Photic Stimulation / Q000379:methods; D011603:Psychophysiology / Q000295:instrumentation* / Q000706:statistics & numerical data*; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors