ReviewComputational and mathematical methods in medicine2012
Inferring functional neural connectivity with phase synchronization analysis: a review of methodology.
Review in Computational and mathematical methods in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Brain-Wave Music Enhances Inhibitory Control Performance by Modulating Oscillations in the Motor Cortex and Frontoparietal Network.Neural plasticity · 2026Article
- Review on data analysis methods for mesoscale neural imagingNeurophotonics · 2022Article
- Music training modulates theta brain oscillations associated with response suppression.Annals of the New York Academy of Sciences · 2022Article
- The Relationship between Oscillations in Brain Regions and Functional Connectivity: A Critical Analysis with the Aid of Neural Mass Models.Brain sciences · 2021Article
- Altered Functional Connectivity in Children with ADHD Revealed by Scalp EEG: An ERP Study.Neural plasticity · 2021Article
- Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes.Journal of clinical neurology (Seoul, Korea) · 2019Article
- Occipital Alpha Connectivity During Resting-State Electroencephalography in Patients With Ultra-High Risk for Psychosis and Schizophrenia.Frontiers in psychiatry · 2019Article
- Ergodicity and parameter estimates in auditory neural circuits.Biological cybernetics · 2018Article
- Comparison of Functional Connectivity Estimated from Concatenated Task-State Data from Block-Design Paradigm with That of Continuous Task.Computational and mathematical methods in medicine · 2017Article
- Depression-Related Brain Connectivity Analyzed by EEG Event-Related Phase Synchrony Measure.Frontiers in human neuroscience · 2016Article
- Dissociation of the G protein βγ from the Gq-PLCβ complex partially attenuates PIP2 hydrolysis.The Journal of biological chemistryArticle
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Authors and funding
3 authors.
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Abstract
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.
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