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

Chaos 19, 015111 (2009); doi:10.1063/1.3100546

Published 31 March 2009

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Karin Schwab,1 Tobias Groh,2 Matthias Schwab,2 and Herbert Witte1
1Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University, Jena 07743, Germany
2Department of Neurology, Friedrich Schiller University, Jena 07743, Germany
An approach combining time-continuous nonlinear stability analysis and a parametric bispectral method was introduced to better describe cortical activation and deactivation patterns in the immature fetal electroencephalogram (EEG). Signal models and data-driven investigations were performed to find optimal parameters of the nonlinear methods and to confirm the occurrence of nonlinear sections in the fetal EEG. The resulting measures were applied to the in utero electrocorticogram (ECoG) of fetal sheep at 0.7 gestation when organized sleep states were not developed and compared to previous results at 0.9 gestation. Cycling of the nonlinear stability of the fetal ECoG occurred already at this early gestational age, suggesting the presence of premature sleep states. This was accompanied by cycling of the time-variant biamplitude which reflected ECoG synchronization effects during premature sleep states associated with nonrapid eye movement sleep later in gestation. Thus, the combined nonlinear and time-variant approach was able to provide important insights into the properties of the immature fetal ECoG. ©2009 American Institute of Physics
History: Received 15 December 2008; accepted 26 February 2009; published 31 March 2009
Permalink: http://link.aip.org/link/?CHAOEH/19/015111/1
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ISSN:
1054-1500 (print)   1089-7682 (online)
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