Data-driven modeling of phase interactions between spontaneous MEG oscillations

Objective: Synchronization between distributed rhythms in the brain is commonly assessed by estimating the synchronization strength from simultaneous measurements. This approach, however, does not elucidate the phase dynamics that underlies synchronization. For this, an explicit dynamical model is r...

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Bibliographic Details
Published in:	Human brain mapping Vol. 32; no. 7; pp. 1161 - 1178
Main Authors:	Hindriks, Rikkert, Bijma, Fetsje, van Dijk, Bob W., Stam, Cornelis J., van der Werf, Ysbrand Y., van Someren, Eus J.W., de Munck, Jan C., van der Vaart, Aad W.
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.07.2011 Wiley-Liss John Wiley & Sons, Inc
Subjects:	Biological and medical sciences Brain - physiology Brain mapping Conduction Cortical Synchronization - physiology coupled oscillators Data processing EEG Frequency dependence functional interaction Investigative techniques, diagnostic techniques (general aspects) Magnetoencephalography Mathematical models Medical sciences MEG Models, Neurological Nervous system Nervous system (semeiology, syndromes) Nervous system as a whole Neurology Oscillators oscillatory activity phase locking Radiodiagnosis. Nmr imagery. Nmr spectrometry Rhythms Synchronization volume conduction Nervous system diseases Radiodiagnosis Magnetoencephalography Interaction EEG Electrophysiology Electroencephalography Phase locking oscillatory activity Synchronization Modeling Volume conduction MEG functional interaction Oscillator Oscillation coupled oscillators
ISSN:	1065-9471, 1097-0193, 1097-0193
Online Access:	Get full text
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