Electroencephalogram-Based Complexity Measures as Predictors of Post-operative Neurocognitive Dysfunction

Physiologic signals such as the electroencephalogram (EEG) demonstrate irregular behaviors due to the interaction of multiple control processes operating over different time scales. The complexity of this behavior can be quantified using multi-scale entropy (MSE). High physiologic complexity denotes...

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Autores principales:	Leah Acker, Christine Ha, Junhong Zhou, Brad Manor, Charles M. Giattino, Ken Roberts, Miles Berger, Mary Cooter Wright, Cathleen Colon-Emeric, Michael Devinney, Sandra Au, Marty G. Woldorff, Lewis A. Lipsitz, Heather E. Whitson
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	electroencephalogram (EEG) complexity resilience cognition attention anesthesia Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/2e548e744be94fd4a5878c2569c3ea0b
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Electroencephalogram-Based Complexity Measures as Predictors of Post-operative Neurocognitive Dysfunction

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