title: Exploration of event-induced EEG phase synchronization patterns in cognitive tasks using a time-frequency-topography visualization system.
abstract: 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.
authors.affiliation: Centro de Investigation en Matematicas (CIMAT), Guanajuato, Mexico. falbac@cimat.mx
authors.forename: Alfonso
authors.initials: A
authors.lastname: Alba
authors.forename: Jose L
authors.initials: JL
authors.lastname: Marroquin
authors.forename: Joaquin
authors.initials: J
authors.lastname: Peña
authors.forename: Thalia
authors.initials: T
authors.lastname: Harmony
authors.forename: Berta
authors.initials: B
authors.lastname: Gonzalez-Frankenberger
mesh_terms: 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