Estimation of neurophysiological parameters from the waking EEG using a biophysical model of brain dynamics

摘要: This paper presents the results from using electroencephalographic (EEG) data to estimate values of key neurophysiological parameters a detailed biophysical model brain activity. The incorporates spatial and temporal aspects cortical function including axonal transmission delays, synapto-dendritic rates, range-dependent connectivities, excitatory inhibitory neural populations, intrathalamic, intracortical, corticocortical corticothalamic pathways. Parameter estimates were obtained by fitting model's theoretical spectrum EEG spectra each 100 healthy human subjects. Statistical analysis was used infer significant parameter variations occurring between eyes-closed eyes-open states, correlation matrix investigate links traditional measures quantitative (qEEG). Accurate fits all experimental observed, both inter-subject between-state variability accounted for variance in fitted parameters, which turn consistent with known independent estimates. These thus provide physiological information regarding state. transitions (eyes-closed vs. eyes-open) phenomena idling alpha desynchronization. are also qEEG, but more informative, since they underlying processes. To our knowledge, this is first study where broad range (0.25-50 Hz) large set data.