Alpha, delta and theta rhythms in a neural net model. Comparison with MEG data.
The aim of this study is to provide information regarding the comparison of a neural model to MEG measurements. Our study population consisted of 10 epileptic patients and 10 normal subjects. The epileptic patients had high MEG amplitudes characterized with θ (4-7 Hz) or δ (2-3 Hz) rhythms and absence of α-rhythm (8-13 Hz). The statistical analysis of such activities corresponded to Poisson distribution. Conversely, the MEG from normal subjects had low amplitudes, higher frequencies and presence of α-rhythm (8-13 Hz). Such activities were not synchronized and their distributions were Gauss. These findings were in agreement with our theoretical neural model. The comparison of the neural network with MEG data provides information about the status of brain function in epileptic and normal states.
Lab of Medical Physics, Medical School, Democritus University of Thrace, University Campus, Dragana, Alexandroupolis, 68100, Greece. Electronic address: akotini@med.duth.gr.
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Kotini
Lab of Medical Physics, Medical School, Democritus University of Thrace, University Campus, Dragana, Alexandroupolis, 68100, Greece.
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Anninos
D000465:Algorithms; D000513:Alpha Rhythm / Q000502:physiology*; D003700:Delta Rhythm / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods; D004827:Epilepsy / Q000503:physiopathology*; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods; D008959:Models, Neurological; D009415:Nerve Net / Q000503:physiopathology*; D016011:Normal Distribution; D016012:Poisson Distribution; D013826:Theta Rhythm / Q000502:physiology*
Gauss connectivity; MEG; Neural net model; Poisson connectivity