Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 51, Issue 9, Pages 1501-1510Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2004.827929
Keywords
coherences; directed transfer function; EEG propagation; Granger causality; multivariate autoregressive model; partial directed coherence
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Performance of different estimators describing propagation of electroencephalogram (EEG) activity, namely: Granger causality, directed transfer function (DTF), direct DTF (dDTF), short-time DTF (SDTF), bivariate coherence, and partial directed coherence are compared by means of simulations and on the examples of experimental signals. In particular, the differences between pair-wise and multichannel estimates are studied. The results show unequivocally that in most cases, the pair-wise estimates are incorrect and a complete set of signals involved in a given process has to be used to obtain the correct pattern of EEG flows. Different performance of multivariate estimators of propagation depending on their normalization is discussed. Advantages of multivariate antoregressive model are pointed out.
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