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Título:	Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain
Autor/a:	Tauste Campo, Adrià; Principe, Alessandro; Ley Nacher, Miguel; Rocamora Zúñiga, Rodrigo Alberto; Deco, Gustavo
Abstract:	Epileptic seizures are known to follow specific changes in brain dynamics. While some algorithms can nowadays robustly detect these changes, a clear understanding of the mechanism by which these alterations occur and generate seizures is still lacking. Here, we provide crossvalidated evidence that such changes are initiated by an alteration of physiological network state dynamics. Specifically, our analysis of long intracranial electroencephalography (iEEG) recordings from a group of 10 patients identifies a critical phase of a few hours in which time-dependent network states become less variable ("degenerate"), and this phase is followed by a global functional connectivity reduction before seizure onset. This critical phase is characterized by an abnormal occurrence of highly correlated network instances and is shown to be particularly associated with the activity of the resected regions in patients with validated postsurgical outcome. Our approach characterizes preseizure network dynamics as a cascade of 2 sequential events providing new insights into seizure prediction and control.
Materia(s):	-Cervell -- Malalties -Epilèpsia
Derechos:	Copyright © 2018 Tauste Campo et al. This is an open access article distributed under the terms of the https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. https://creativecommons.org/licenses/by/4.0/
Tipo de documento:	Artículo Artículo - Versión publicada
Editor:	Public Library of Science (PLoS)
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