Literature DB >> 16035902

Estimation of coupling between oscillators from short time series via phase dynamics modeling: limitations and application to EEG data.

D A Smirnov1, M B Bodrov, J L Perez Velazquez, R A Wennberg, B P Bezruchko.   

Abstract

We demonstrate in numerical experiments that estimators of strength and directionality of coupling between oscillators based on modeling of their phase dynamics [D. A. Smirnov and B. P. Bezruchko, Phys. Rev. E 68, 046209 (2003)] are widely applicable. Namely, although the expressions for the estimators and their confidence bands are derived for linear uncoupled oscillators under the influence of independent sources of Gaussian white noise, they turn out to allow reliable characterization of coupling from relatively short time series for different properties of noise, significant phase nonlinearity of the oscillators, and nonvanishing coupling between them. We apply the estimators to analyze a two-channel human intracranial epileptic electroencephalogram (EEG) recording with the purpose of epileptic focus localization.

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Year:  2005        PMID: 16035902     DOI: 10.1063/1.1938487

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  2 in total

1.  Connectivity mapping of the human ECoG during a motor task with a time-varying dynamic Bayesian network.

Authors:  Huaijian Zhang; Heather L Benz; Anastasios Bezerianos; Soumyadipta Acharya; Nathan E Crone; Anil Maybhate; Xiaoxiang Zheng; Nitish V Thakor
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

2.  Assessing directionality and strength of coupling through symbolic analysis: an application to epilepsy patients.

Authors:  Klaus Lehnertz; Henning Dickten
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-02-13       Impact factor: 4.226

  2 in total

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