Comput Math Methods Med - Inferring functional neural connectivity with phase synchronization analysis: a review of methodology.

Tópicos

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Resumo

Functional neural connectivity is drawing increasing attention in neuroscience research. To infer functional connectivity from observed neural signals, various methods have been proposed. Among them, phase synchronization analysis is an important and effective one which examines the relationship of instantaneous phase between neural signals but neglecting the influence of their amplitudes. In this paper, we review the advances in methodologies of phase synchronization analysis. In particular, we discuss the definitions of instantaneous phase, the indexes of phase synchronization and their significance test, the issues that may affect the detection of phase synchronization and the extensions of phase synchronization analysis. In practice, phase synchronization analysis may be affected by observational noise, insufficient samples of the signals, volume conduction, and reference in recording neural signals. We make comments and suggestions on these issues so as to better apply phase synchronization analysis to inferring functional connectivity from neural signals.

Resumo Limpo

function neural connect draw increas attent neurosci research infer function connect observ neural signal various method propos among phase synchron analysi import effect one examin relationship instantan phase neural signal neglect influenc amplitud paper review advanc methodolog phase synchron analysi particular discuss definit instantan phase index phase synchron signific test issu may affect detect phase synchron extens phase synchron analysi practic phase synchron analysi may affect observ nois insuffici sampl signal volum conduct refer record neural signal make comment suggest issu better appli phase synchron analysi infer function connect neural signal

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