NDLI: What Can We Really Say About Neuronal Synchrony?

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What Can We Really Say About Neuronal Synchrony?

Content Provider	Semantic Scholar
Author	Guevara, Ramón González Velazquez, José Luis Pérez Nenadovic, Vera Wennberg, Richard Senjanovi, Goran Domínguez, Luis García
Copyright Year	2005
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. DOI: 10.1385/NI:03:04:301 Index Entries: Electroencephalographic recordings; magnetoencephalographic recordings; phase synchronization; reference electrode; bipolar signal. Phase Synchronization Measurements Using Electroencephalographic Recordings What Can We Really Say About Neuronal Synchrony? Ramón Guevara,1 José Luis Pérez Velazquez,2 Vera Nenadovic,3 Richard Wennberg,4 Goran Senjanović,1 and Luís Garcia Dominguez*,2 1Abdus Salam ICTP, Strada Costiera 11, 34100, Miaramare, Trieste, Italy; 2Departments of Paediatrics and Institute of Medical Science, University of Toronto, Brain and Behaviour Programme and Division of Neurology, the Hospital for Sick Children, 3Department of Critical Care, The Hospital for Sick Children, 4Toronto Western Hospital, Krembil Neuroscience Centre, Division of Neurology, University of Toronto,Toronto, Canada
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://www.cognimetrixinc.com/wp-content/uploads/2019/11/Garcia-Dominguez-paper-1.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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