Alba Alfonso, Marroquin Jose L, Peña Joaquin, Harmony Thalia, Gonzalez-Frankenberger Berta
Centro de Investigation en Matematicas (CIMAT), Guanajuato, Mexico.
J Neurosci Methods. 2007 Mar 30;161(1):166-82. doi: 10.1016/j.jneumeth.2006.10.018. Epub 2006 Dec 5.
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.
