Neurodynamics of somatosensory cortices studied by magnetoencephelography.
From the viewpoint of statistical inverse problems, identification of transfer functions in feedback models is applied for neurodynamics of somatosensory cortices, and brain communication among active regions can be expressed in terms of transfer functions. However, brain activities have been investigated mainly by averaged waveforms in the conventional magnetoencephalography analysis, and thus brain communication among active regions has not yet been identified. It is shown that brain communication among two more than three brain regions is determined, when fluctuations related to concatenate averaged waveforms can be obtained by using a suitable blind source separation method. In blind identification of feedback model, some transfer functions or their impulse responses between output variables of current dipoles corresponding to active regions are identified from reconstructed time series data of fluctuations by the method of inverse problem. Neurodynamics of somatosensory cortices in 5 Hz median nerve stimuli can be shown by cerebral communication among active regions of somatosensory cortices in terms of impulse responses of feedback model.
Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University, 1-10 Yanagido, Gifu, 501-1193, Japan.
Kuniharu
K
Kishida
D000465:Algorithms; D004558:Electric Stimulation; D006801:Humans; D015225:Magnetoencephalography; D008475:Median Nerve / Q000502:physiology; D008959:Models, Neurological; D013003:Somatosensory Cortex