Literature DB >> 18352623

Direction of coupling from phases of interacting oscillators: a permutation information approach.

A Bahraminasab1, F Ghasemi, A Stefanovska, P V E McClintock, H Kantz.   

Abstract

We introduce a directionality index for a time series based on a comparison of neighboring values. It can distinguish unidirectional from bidirectional coupling, as well as reveal and quantify asymmetry in bidirectional coupling. It is tested on a numerical model of coupled van der Pol oscillators, and applied to cardiorespiratory data from healthy subjects. There is no need for preprocessing and fine-tuning the parameters, which makes the method very simple, computationally fast and robust.

Mesh:

Year:  2008        PMID: 18352623     DOI: 10.1103/PhysRevLett.100.084101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  12 in total

1.  Nonlinear dynamics of cardiovascular ageing.

Authors:  Y Shiogai; A Stefanovska; P V E McClintock
Journal:  Phys Rep       Date:  2010-03       Impact factor: 25.600

2.  Detecting couplings between interacting oscillators with time-varying basic frequencies: instantaneous wavelet bispectrum and information theoretic approach.

Authors:  Janez Jamsek; Milan Palus; Aneta Stefanovska
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-03-05

3.  The effect of low-frequency oscillations on cardio-respiratory synchronization: Observations during rest and exercise.

Authors:  D A Kenwright; A Bahraminasab; A Stefanovska; P V E McClintock
Journal:  Eur Phys J B       Date:  2008-10       Impact factor: 1.500

4.  Epilepsy and nonlinear dynamics.

Authors:  Klaus Lehnertz
Journal:  J Biol Phys       Date:  2008-07-09       Impact factor: 1.365

5.  Deep-layer motif method for estimating information flow between EEG signals.

Authors:  Denggui Fan; Hui Wang; Jun Wang
Journal:  Cogn Neurodyn       Date:  2022-01-05       Impact factor: 3.473

6.  Symbolic time series analysis of fNIRS signals in brain development assessment.

Authors:  Zhenhu Liang; Yasuyo Minagawa; Ho-Ching Yang; Hao Tian; Lei Cheng; Takeshi Arimitsu; Takao Takahashi; Yunjie Tong
Journal:  J Neural Eng       Date:  2018-09-12       Impact factor: 5.379

7.  Evolution of cardiorespiratory interactions with age.

Authors:  D Iatsenko; A Bernjak; T Stankovski; Y Shiogai; P J Owen-Lynch; P B M Clarkson; P V E McClintock; A Stefanovska
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2013-07-15       Impact factor: 4.226

8.  Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension.

Authors:  Valentina Ticcinelli; Tomislav Stankovski; Dmytro Iatsenko; Alan Bernjak; Adam E Bradbury; Andrew R Gallagher; Peter B M Clarkson; Peter V E McClintock; Aneta Stefanovska
Journal:  Front Physiol       Date:  2017-10-13       Impact factor: 4.566

9.  Estimating temporal causal interaction between spike trains with permutation and transfer entropy.

Authors:  Zhaohui Li; Xiaoli Li
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

10.  Interaction between Thalamus and Hippocampus in Termination of Amygdala-Kindled Seizures in Mice.

Authors:  Zhen Zhang; Jia-Jia Li; Qin-Chi Lu; Hai-Qing Gong; Pei-Ji Liang; Pu-Ming Zhang
Journal:  Comput Math Methods Med       Date:  2016-10-17       Impact factor: 2.238

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