Literature DB >> 16445988

Towards a proper estimation of phase synchronization from time series.

M Chavez1, M Besserve, C Adam, J Martinerie.   

Abstract

In experimental synchronization studies a continuous phase variable is commonly estimated from a scalar time series by means of its representation on the complex plane. The aim is to obtain a pair of functions [A(t), phi(t)] defining its instantaneous amplitude and phase, respectively. However, any arbitrary pair of functions cannot be considered as the amplitude and the phase of the real observable. Here, we point out some criteria that the pair [A(t), phi(t)] must observe to unambiguously define the instantaneous amplitude and phase of the observed signal. In this work, we illustrate how the complex representation may fail if the signal possesses a multi-component or a broadband spectra. We also point out a practical procedure to test whether a signal, not displaying a single oscillation at a unique frequency, has a narrow-band behavior. Implications for the study of phase interdependencies are illustrated and discussed. Phase dynamics estimated from electric brain activities recorded from an epileptic patient are also discussed.

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Year:  2006        PMID: 16445988     DOI: 10.1016/j.jneumeth.2005.12.009

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  16 in total

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8.  Parametric estimation of cross-frequency coupling.

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Journal:  J Neurosci Methods       Date:  2015-02-09       Impact factor: 2.390

9.  Directional influence between the human amygdala and orbitofrontal cortex at the time of decision-making.

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Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

10.  Adaptive filtering methods for identifying cross-frequency couplings in human EEG.

Authors:  Jérôme Van Zaen; Micah M Murray; Reto A Meuli; Jean-Marc Vesin
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

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