Determination of EEG activity propagation: pair-wise versus multichannel estimate

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 th...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2004-09, Vol.51 (9), p.1501-1510
Main Authors: Kus, R., Kaminski, M., Blinowska, K.J.
Format: Article
Language:English
Subjects:
Adult
Algorithms
Biomedical measurements
Brain - physiology
Brain Mapping - methods
Brain modeling
Coherence
Computer Simulation
Diagnosis, Computer-Assisted - methods
Electroencephalography
Electroencephalography - methods
Epilepsy
Evoked Potentials - physiology
Humans
Information processing
Models, Neurological
Nerve Net - physiology
Phase estimation
Physics
Signal processing
Synaptic Transmission - physiology
Transfer functions
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Summary: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 autoregressive model are pointed out.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2004.827929