Nonlinear analysis and modeling of cortical activation and deactivation patterns in the immature fetal electrocorticogram

摘要: An approach combining time-continuous nonlinear stability analysis and a parametric bispectral method was introduced to better describe cortical activation deactivation patterns in the immature fetal electroencephalogram (EEG). Signal models data-driven investigations were performed find optimal parameters of methods confirm occurrence sections EEG. The resulting measures applied utero electrocorticogram (ECoG) sheep at 0.7 gestation when organized sleep states not developed compared previous results 0.9 gestation. Cycling ECoG occurred already this early gestational age, suggesting presence premature states. This accompanied by cycling time-variant biamplitude which reflected synchronization effects during associated with nonrapid eye movement later Thus, combined able provide important insights into properties ECoG.