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

被引：262

作者：

Kus, R ^{[1
]}

Kaminski, M ^{[1
]}

Blinowska, KJ ^{[1
]}

机构：

[1] Univ Warsaw, Lab Med Phys, PL-00681 Warsaw, Poland

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2004年 / 51卷 / 09期

关键词：

coherences; directed transfer function; EEG propagation; Granger causality; multivariate autoregressive model; partial directed coherence;

D O I：

10.1109/TBME.2004.827929

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：1501 / 1510

页数：10

共 25 条

[1] NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].

AKAIKE, H .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723

[2] Partial directed coherence:: a new concept in neural structure determination [J].

Baccalá, LA ;

Sameshima, K .

BIOLOGICAL CYBERNETICS, 2001, 84 (06) :463-474

[3] On the directionality of cortical interactions studied by structural analysis of electrophysiological recordings [J].

Bernasconi, C ;

König, P .

BIOLOGICAL CYBERNETICS, 1999, 81 (03) :199-210

[4]

da Silva FL, 1992, INDUCED RHYTHMS BRAI, P83, DOI DOI 10.1007/978-1-4757-1281-0_4

[5] Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment [J].

Ding, MZ ;

Bressler, SL ;

Yang, WM ;

Liang, HL .

BIOLOGICAL CYBERNETICS, 2000, 83 (01) :35-45

[6] Application of the directed transfer function method to mesial and lateral onset temporal lobe seizures [J].

Franaszczuk, PJ ;

Bergey, GK .

BRAIN TOPOGRAPHY, 1998, 11 (01) :13-21

[7] THE APPLICATION OF PARAMETRIC MULTICHANNEL SPECTRAL ESTIMATES IN THE STUDY OF ELECTRICAL BRAIN ACTIVITY [J].

FRANASZCZUK, PJ ;

BLINOWSKA, KJ ;

KOWALCZYK, M .

BIOLOGICAL CYBERNETICS, 1985, 51 (04) :239-247

[8] Testing non-linearity and directedness of interactions between neural groups in the macaque inferotemporal cortex [J].

Freiwald, WA ;

Valdes, P ;

Bosch, J ;

Biscay, R ;

Jimenez, JC ;

Rodriguez, LM ;

Rodriguez, V ;

Kreiter, AK ;

Singer, W .

JOURNAL OF NEUROSCIENCE METHODS, 1999, 94 (01) :105-119

[9] Phase and amplitude analysis in time-frequency space - application to voluntary finger movement [J].

Ginter, J ;

Blinowska, KJ ;

Kaminski, M ;

Durka, PJ .

JOURNAL OF NEUROSCIENCE METHODS, 2001, 110 (1-2) :113-124

[10] INVESTIGATING CAUSAL RELATIONS BY ECONOMETRIC MODELS AND CROSS-SPECTRAL METHODS [J].

GRANGER, CWJ .

ECONOMETRICA, 1969, 37 (03) :424-438

← 1 2 3 →