title: Phase clustering of high frequency EEG: MEG components.
abstract: The study of phase consistency of high frequency EEG/MEG components can reveal properties of neuronal networks that are informative about their excitability state. The clue is that these properties are easier to put in evidence when the response of the neuronal networks is evoked by an adequate stimulation paradigm. The latter may be considered a probe of neuronal excitability state capable of revealing hidden information contained in the phase structure of neuronal activities. In this context the high frequency band components appear to be the most reactive signals.
authors.affiliation: Centre of NeuroSciences, Swammerdam Institute for Life Sciences, University of Amsterdam, The Netherlands. Silva@science.uva.nl
authors.forename: Fernando H Lopes
authors.initials: FH
authors.lastname: da Silva
authors.forename: Jaime Parra
authors.initials: JP
authors.lastname: Gomez
authors.forename: Dimitri N
authors.initials: DN
authors.lastname: Velis
authors.forename: Stiliyan
authors.initials: S
authors.lastname: Kalitzin
mesh_terms: D000200:Action Potentials / Q000502:physiology; D001683:Biological Clocks; D001921:Brain / Q000503:physiopathology*; D016000:Cluster Analysis; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology*; D005073:Evoked Potentials, Somatosensory; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D009474:Neurons; D009435:Synaptic Transmission