Literature DB >> 16284413

Phase synchronization measurements using electroencephalographic recordings: what can we really say about neuronal synchrony?

Ramón Guevara1, José Luis Pérez Velazquez, Vera Nenadovic, Richard Wennberg, Goran Senjanovic, Luís Garcia Dominguez.   

Abstract

Phase synchrony analysis is a relatively new concept that is being increasingly used on neurophysiological data obtained through different methodologies. It is currently believed that phase synchrony is an important signature of information binding between distant sites of the brain, especially during cognitive tasks. Electroencephalographic (EEG) recordings are the most widely used recording technique for recording brain signals and assessing phase synchrony patterns. In this study, we address the suitability of phase synchrony analysis in EEG recordings. Using geometrical arguments and numerical examples, employing EEG and magnetoencephalographic data, we show that the presence of a common reference signal in the case of EEG recordings results in a distortion of the synchrony values observed, in that the amplitudes of the signals influence the synchrony measured, and in general destroys the intended physical interpretation of phase synchrony.

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Year:  2005        PMID: 16284413     DOI: 10.1385/NI:3:4:301

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  11 in total

Review 1.  The brainweb: phase synchronization and large-scale integration.

Authors:  F Varela; J P Lachaux; E Rodriguez; J Martinerie
Journal:  Nat Rev Neurosci       Date:  2001-04       Impact factor: 34.870

2.  The effect of a scalp reference signal on coherence measurements of intracranial electroencephalograms.

Authors:  H P Zaveri; R B Duckrow; S S Spencer
Journal:  Clin Neurophysiol       Date:  2000-07       Impact factor: 3.708

3.  Guiding the study of brain dynamics by using first-person data: synchrony patterns correlate with ongoing conscious states during a simple visual task.

Authors:  Antoine Lutz; Jean-Philippe Lachaux; Jacques Martinerie; Francisco J Varela
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

Review 4.  Brain function, nonlinear coupling, and neuronal transients.

Authors:  K J Friston
Journal:  Neuroscientist       Date:  2001-10       Impact factor: 7.519

5.  Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches?

Authors:  Andreas Bruns
Journal:  J Neurosci Methods       Date:  2004-08-30       Impact factor: 2.390

6.  Common reference coherence data are confounded by power and phase effects.

Authors:  G Fein; J Raz; F F Brown; E L Merrin
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1988-06

Review 7.  Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony.

Authors:  M Le Van Quyen; J Foucher; J Lachaux; E Rodriguez; A Lutz; J Martinerie; F J Varela
Journal:  J Neurosci Methods       Date:  2001-10-30       Impact factor: 2.390

8.  Perception's shadow: long-distance synchronization of human brain activity.

Authors:  E Rodriguez; N George; J P Lachaux; J Martinerie; B Renault; F J Varela
Journal:  Nature       Date:  1999-02-04       Impact factor: 49.962

9.  Abnormal neural synchrony in schizophrenia.

Authors:  Kevin M Spencer; Paul G Nestor; Margaret A Niznikiewicz; Dean F Salisbury; Martha E Shenton; Robert W McCarley
Journal:  J Neurosci       Date:  2003-08-13       Impact factor: 6.167

10.  Spatio-temporal dynamics prior to neocortical seizures: amplitude versus phase couplings.

Authors:  Mario Chávez; Michel Le Van Quyen; Vincent Navarro; Michel Baulac; Jacques Martinerie
Journal:  IEEE Trans Biomed Eng       Date:  2003-05       Impact factor: 4.538

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  54 in total

1.  Synchrony in normal and focal epileptic brain: the seizure onset zone is functionally disconnected.

Authors:  Christopher P Warren; Sanqing Hu; Matt Stead; Benjamin H Brinkmann; Mark R Bower; Gregory A Worrell
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

2.  A phase synchrony measure for quantifying dynamic functional integration in the brain.

Authors:  Selin Aviyente; Edward M Bernat; Westley S Evans; Scott R Sponheim
Journal:  Hum Brain Mapp       Date:  2011-01       Impact factor: 5.038

3.  Dangerous phase.

Authors:  Steven J Schiff
Journal:  Neuroinformatics       Date:  2005

4.  Cortical abnormalities in epilepsy revealed by local EEG synchrony.

Authors:  C A Schevon; J Cappell; R Emerson; J Isler; P Grieve; R Goodman; G McKhann; H Weiner; W Doyle; R Kuzniecky; O Devinsky; F Gilliam
Journal:  Neuroimage       Date:  2007-01-16       Impact factor: 6.556

5.  Synchronized brain activity and neurocognitive function in patients with low-grade glioma: a magnetoencephalography study.

Authors:  Ingeborg Bosma; Linda Douw; Fabrice Bartolomei; Jan J Heimans; Bob W van Dijk; Tjeerd J Postma; Cornelis J Stam; Jaap C Reijneveld; Martin Klein
Journal:  Neuro Oncol       Date:  2008-07-23       Impact factor: 12.300

Review 6.  Event-related EEG time-frequency analysis: an overview of measures and an analysis of early gamma band phase locking in schizophrenia.

Authors:  Brian J Roach; Daniel H Mathalon
Journal:  Schizophr Bull       Date:  2008-08-06       Impact factor: 9.306

7.  Decrease in early right alpha band phase synchronization and late gamma band oscillations in processing syntax in music.

Authors:  María Herrojo Ruiz; Stefan Koelsch; Joydeep Bhattacharya
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

8.  Visualizing dynamical neural assemblies with a fuzzy synchronization clustering analysis.

Authors:  Shu Zhou; Yan Wu; Claudia C Dos Santos
Journal:  Neuroinformatics       Date:  2009-12

9.  EEG power asymmetry and functional connectivity as a marker of treatment effectiveness in DBS surgery for depression.

Authors:  Maher A Quraan; Andrea B Protzner; Zafiris J Daskalakis; Peter Giacobbe; Chris W Tang; Sidney H Kennedy; Andres M Lozano; Mary P McAndrews
Journal:  Neuropsychopharmacology       Date:  2013-11-28       Impact factor: 7.853

Review 10.  Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures.

Authors:  J D Bonita; L C C Ambolode; B M Rosenberg; C J Cellucci; T A A Watanabe; P E Rapp; A M Albano
Journal:  Cogn Neurodyn       Date:  2013-09-04       Impact factor: 5.082

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