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

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 rela...

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Bibliographic Details
Published in:Journal of neuroscience methods 2006-10, Vol.157 (2), p.294-302
Main Authors: Żygierewicz, J., Mazurkiewicz, J., Durka, P.J., Franaszczuk, P.J., Crone, N.E.
Format: Article
Language:English
Subjects:
Adult
Brain - physiology
Cortical Synchronization - methods
ERD
ERS
Evoked Potentials - physiology
Extreme statistics
Humans
Male
Statistical maps
Time-frequency energy density
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Summary: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.
ISSN:0165-0270
1872-678X
DOI:10.1016/j.jneumeth.2006.04.010