Estimation of short-time cross-correlation between frequency bands of event related EEG Export

@article{citeulike:853428, abstract = {Simultaneous variations of the event-related power changes (ERD/ERS) are often observed in a number of frequency bands. ERD/ERS measures are usually based on the relative changes of power in a given single frequency band. Within such an approach one cannot answer questions concerning the mutual relations between the band-power variations observed in different frequency bands. This paper addresses the problem of estimating and assessing the significance of the average cross-correlation between ERD/ERS phenomena occurring in two frequency bands. The cross-correlation function in a natural way also provides estimation of the delay between ERD/ERS in those bands.The proposed method is based on estimating the short-time cross-correlation function between relative changes of power in two selected frequency bands. The cross-correlation function is estimated in each trial separately and then averaged across trials. The significance of those mean cross-correlation functions is evaluated by means of a nonparametric test.The basic properties of the method are presented on simulated signals, and an example application to real EEG and ECoG signals is given.}, author = {Zygierewicz, J. and Mazurkiewicz, J. and Durka, P. J. and Franaszczuk, P. J. and Crone, N. E.}, citeulike-article-id = {853428}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.jneumeth.2006.04.010}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6T04-4K428GJ-1/2/6f8e9797a55826a41d213800ce899ea4}, day = {30}, doi = {10.1016/j.jneumeth.2006.04.010}, journal = {Journal of Neuroscience Methods}, keywords = {correlation}, month = {October}, number = {2}, pages = {294--302}, posted-at = {2006-09-21 20:29:44}, priority = {2}, title = {Estimation of short-time cross-correlation between frequency bands of event related EEG}, url = {http://dx.doi.org/10.1016/j.jneumeth.2006.04.010}, volume = {157}, year = {2006} }

TY - JOUR ID - citeulike:853428 L3 - citeulike-article-id:853428 N2 - Simultaneous variations of the event-related power changes (ERD/ERS) are often observed in a number of frequency bands. ERD/ERS measures are usually based on the relative changes of power in a given single frequency band. Within such an approach one cannot answer questions concerning the mutual relations between the band-power variations observed in different frequency bands. This paper addresses the problem of estimating and assessing the significance of the average cross-correlation between ERD/ERS phenomena occurring in two frequency bands. The cross-correlation function in a natural way also provides estimation of the delay between ERD/ERS in those bands.The proposed method is based on estimating the short-time cross-correlation function between relative changes of power in two selected frequency bands. The cross-correlation function is estimated in each trial separately and then averaged across trials. The significance of those mean cross-correlation functions is evaluated by means of a nonparametric test.The basic properties of the method are presented on simulated signals, and an example application to real EEG and ECoG signals is given. IS - 2 JF - Journal of Neuroscience Methods EP - 302 TI - Estimation of short-time cross-correlation between frequency bands of event related EEG VL - 157 SP - 294 KW - correlation AU - Zygierewicz, J AU - Mazurkiewicz, J AU - Durka, PJ AU - Franaszczuk, PJ AU - Crone, NE PY - 2006/10/30/ UR - http://dx.doi.org/10.1016/j.jneumeth.2006.04.010 ER -