Time-Frequency Wavelet Based Coherence Analysis of EEG in EC and EO during Resting State

Abstract

Abstract-TheThe significance was obtained using Wilcoxon Signed Rank test and pairwise wavelet coherence was computed for each possible combination. The Wavelet Phase Coherence using Wavelet Transform gives significantly high results (P<0.05) in EC and EO signals during resting states in frequency interval 0.5-50 Hz overall as well as in the band intervals such as delta (05-4 Hz), theta (4-7 Hz), alpha (7-13 Hz), beta (13-22 Hz) and gamma . By computing the spatial wavelet phase coherence, we observed significant pathways including sagittal factor (anterior-posterior interhemispheric) and lateral factor (perpendicular to anterior-posterior axis). The lateral factor differences have less affect than the sagittal factor. Each band was involved in different activities in some way, however alpha band showed distinct anteriorposterior activity when the eye-closed coherence was higher than the eye open coherence.

Calculation of the Classic-Curvature and the Intensity-Curvature Term Before Interpolation of a Bivariate Polynomial

“…EEG combined with signal post-processing based on wavelet phase coherence has been employed to study the resting state networks in the human brain in the two conditions of eyes closed and eyes open and the results have shown the predominance of the alpha band in the condition of eyes closed [3]. The aforementioned finding is consistent with previous research results obtained with Magnetoencephalography [4].…”