Coupled oscillators for modeling and analysis of EEG/MEG oscillations.
This study presents three EEG/MEG applications in which the modeling of oscillatory signal components offers complementary analysis and an improved explanation of the underlying generator structures. Coupled oscillator networks were used for modeling. Parameters of the corresponding ordinary coupled differential equation (ODE) system are identified using EEG/MEG data and the resulting solution yields the modeled signals. This model-related analysis strategy provides information about the coupling quantity and quality between signal components (example 1, neonatal EEG during quiet sleep), allows identification of the possible contribution of hidden generator structures (example 2, 600-Hz MEG oscillations in somatosensory evoked magnetic fields), and can explain complex signal characteristics such as amplitude-frequency coupling and frequency entrainment (example 3, EEG burst patterns in sedated patients).
Leistritz
Lutz
L
Institute of Medical Statistics, Computer Sciences and Documentation, Medical Faculty, Friedrich Schiller University Jena, Jena, Germany. lutz.leistritz@mti.uni-jena.de
Putsche
Peter
P
Schwab
Karin
K
Hesse
Wolfram
W
Süsse
Thomas
T
Haueisen
Jens
J
Witte
Herbert
H
D000200:Action Potentials / Q000502:physiology; D000465:Algorithms; D001683:Biological Clocks / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004569:Electroencephalography / Q000379:methods*; D005246:Feedback / Q000502:physiology; D006801:Humans; D007231:Infant, Newborn; D015225:Magnetoencephalography / Q000379:methods*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology