Determination of transmission patterns in multichannel data

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 360, Issue 1457, 2005, Pages 947-952

  Kamiński, Maciej ^a  

^a UNIVERSITY OF WARSAW   (Poland)

Author keywords

Causal influence; Coherences; Electro encephalogram propagation; Granger causality; Multivariate autoregressive (MVAR) model; Signal processing

Indexed keywords

BIOLOGY;

ARTICLE; COMPARATIVE STUDY; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; INFORMATION PROCESSING; METHODOLOGY; MULTIVARIATE ANALYSIS; STATISTICAL ANALYSIS; THEORETICAL MODEL;

AUTOMATIC DATA PROCESSING; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS;

EID: 25444436752     PISSN: 09628436     EISSN: None     Source Type: Journal    
DOI: 10.1098/rstb.2005.1636     Document Type: Article

References (21)

1. Achermann, P., Hartmann, R., Gunzinger, A., Guggenbühl, W. & Borbély, A. A. 1994 All night sleep and artificial stochastic control have similar correlation dimension. Electroencephalogr. Clin. Neurophys. 90, 384-387.
2. Akaike, H. 1968 On the use of a linear model for the identification of feedback systems. Ann. Inst. Stat. Math. 20, 425-440.
3. Blinowska, K. J. & Malinowski, M. 1991 Non-linear and linear forecasting of the EEG time series. Biol. Cybern. 66, 159-165.
4. Blinowska, K. J., Kuś, R. & Kamiński, M. 2004 Granger causality and information flow in multivariate processes. Phys. Rev. E 70, 050902(R).
5. Caines, P. E. & Chan, C. W. 1975 Feedback between stationary stochastic processes. IEEE Trans. Autom. Control 20, 498-508.
6. Gersch, W. 1972 Causality or driving in electrophysiological signal analysis. Math. Biosci. 14, 177-196.
7. Granger, C. W. J. 1969 Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37, 424-438.
8. Granger, C. W. J. 1980 Testing for causality: a personal viewpoint. J. Econ. Dyn. Control 2, 329-352.
9. Jenkins, G. M. & Watts, D. G. 1968 Spectral analysis and its applications. San Francisco: Holden-Day.
10. Jensen, F. V. 2001 Bayesian networks and decision graphs. New York: Springer.
11. Kaminski, M. & Blinowska, K. J. 1991 A new method of the description of the information flow. Biol. Cybern. 65, 203-210.
12. Kaminski, M., Ding, M., Truccolo, W. & Bressler, S. 2001 Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biol. Cybern. 85, 145-157.
13. Korzeniewska, A., Manczak, M., Kamiński, M., Blinowska, K. J. & Kasicki, S. 2003 Determination of information flow direction between brain structures by a modified Directed Transfer Function method (dDTF). J. Neurosci. Meth. 125, 195-207.
14. Kuś, R., Kamiński, M. & Blinowska, K. J. 2004 Determination of EEG activity propagation: pair-wise versus multichannel estimate. IEEE Trans. Biomed. Eng. 51, 1501-1510.
15. Marple, S. L. 1987 Digital spectral analysis with applications. Prentice-Hall Signal Processing Series. New Jersey: Simon & Schuster.
16. Pijn, J. P. M., Van Neerven, L., Noest, A. & Lopes da Silva, F. H. 1991 Chaos or noise in EEG signals:vh dependence on state and brain site. Electroencephalogr. Clin. Neurophys. 79, 371-381.
17. Pijn, J. P. M., Velis, D. N., van der Heyden, M. J., DeGoede, J., van Veelen, C. W. M. & Lopes da Silva, F. H. 1997 Nonlinear dynamics of epileptic seizures on basis of intracranial EEG recordings. Brain Topogr. 9, 249-270.
18. Saito, Y. & Harashima, H. 1981 Tracking of information within multichannel EEG record - causal analysis in EEG. In Recent advances in EEG and EMG data processing (ed. N. Yamaguchi & K. Fujisawa). Amsterdam: Elsevier.
19. Sameshima, K. & Baccalá, L. A. 1999 Using partial directed coherence to describe neuronal ensemble interactions. J. Neurosci. Meth. 94, 93-103.
20. Stam, C., Pijn, J. P. M., Suffczynski, P. & Lopes da Silva, F. H. 1999 Dynamics of the human alpha rhythm: evidence for non-linearity? Clin. Neurophys. 110, 1801-1813.
21. Wiener, N. 1956 The theory of prediction. In Modern mathematics for engineers (ed. E. F. Beckenbach). New York: McGraw-Hill.