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

J. Zygierewicz, J. Mazurkiewicz, P. J. Durka, P. J. Franaszczuk, N. E. Crone

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)294-302
Number of pages9
JournalJournal of Neuroscience Methods
Volume157
Issue number2
DOIs
StatePublished - Oct 30 2006

Keywords

  • ERD
  • ERS
  • Extreme statistics
  • Statistical maps
  • Time-frequency energy density

ASJC Scopus subject areas

  • Neuroscience(all)

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