Commenced in January 2007
Paper Count: 31198
A Novel Method for the Characterization of Synchronization and Coupling in Multichannel EEG and ECoG
Abstract:In this paper we introduce a novel method for the characterization of synchronziation and coupling effects in multivariate time series that can be used for the analysis of EEG or ECoG signals recorded during epileptic seizures. The method allows to visualize the spatio-temporal evolution of synchronization and coupling effects that are characteristic for epileptic seizures. Similar to other methods proposed for this purpose our method is based on a regression analysis. However, a more general definition of the regression together with an effective channel selection procedure allows to use the method even for time series that are highly correlated, which is commonly the case in EEG/ECoG recordings with large numbers of electrodes. The method was experimentally tested on ECoG recordings of epileptic seizures from patients with temporal lobe epilepsies. A comparision with the results from a independent visual inspection by clinical experts showed an excellent agreement with the patterns obtained with the proposed method.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070697Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1106
 R. Kus, M. Kaminski, and K. Blinowska, "Determination of EEG activity propagation: pair-wise versus multichannel estimate," Biomedical Engineering, IEEE Transactions on, vol. 51, pp. 1501-1510, Sept. 2004.
 M. J. Kaminski and K. J. Blinowska, "A new method of the description of the information flow in the brain structures.," Biological Cybernetics, vol. 65, 1991.
 M. Kaminski, M. Ding, W. Truccolo, and S. Bressler, "Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance," Biological Cybernetics, vol. 85, 2001.
 L. Astolfi, F. Cincotti, D. Mattia, F. de Vico Fallani, S. Salinari, M. Ursino, M. Zavaglia, M. Marciani, and F. Babiloni, "Estimation of the cortical connectivity patterns during the intention of limb movements," Engineering in Medicine and Biology Magazine, IEEE, vol. 25, pp. 32- 38, July-Aug. 2006.
 A. Korzeniewska, M. Manczak, M. Kaminski, K. J. Blinowska, and S. Kasicki, "Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method," Journal of Neuroscience Methods, vol. 125, 2003.
 L. A. Baccala and K. Sameshima, "Partial directed coherence: a new concept in neural structure determination," Biological Cybernetics, vol. 84, 2001.
 L. Astolfi, F. Cincotti, D. Mattia, M. Marciani, L. Baccala, F. Fallani, S. Salinari, M. Ursino, M. Zavaglia, and F. Babiloni, "Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data," Biomedical Engineering, IEEE Transactions on, vol. 53, pp. 1802-1812, Sept. 2006.
 E. Möller, B. Schack, M. Arnold, and H. Witte, "Instantaneous multivariate eeg coherence analysis by means of adaptive high-dimensional autoregressive models," Journal of neuroscience methods, vol. 105, pp. 143-158, 2001.
 A. Neumaier and T. Schneider, "Estimation of parameters and eigenmodes of multivariate autoregressive models," ACM Trans. Math. Softw., vol. 27, pp. 27-57, 2001.
 K. P. Burnham and D. R. Anderson, Model Selection and Multimodel Inference: A Practical-Theoretic Approach. Springer-Verlag, 2nd ed., 2002.
 H. Yanagihara, "Corrected version of aic for selecting multivariate normal linear regression models in a general nonnormal case," J. Multivar. Anal., vol. 97, no. 5, pp. 1070-1089, 2006.