• Treffer 1 von 4
Zurück zur Trefferliste

Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep

  • A precise definition of a brain state has proven elusive. Here, we introduce the novel local-global concept of intrinsic ignition characterizing the dynamical complexity of different brain states. Naturally occurring intrinsic ignition events reflect the capability of a given brain area to propagate neuronal activity to other regions, giving rise to different levels of integration. The ignitory capability of brain regions is computed by the elicited level of integration for each intrinsic ignition event in each brain region, averaged over all events. This intrinsic ignition method is shown to clearly distinguish human neuroimaging data of two fundamental brain states (wakefulness and deep sleep). Importantly, whole-brain computational modelling of this data shows that at the optimal working point is found where there is maximal variability of the intrinsic ignition across brain regions. Thus, combining whole brain models with intrinsic ignition can provide novel insights into underlying mechanisms of brain states.

Volltext Dateien herunterladen

Metadaten exportieren

Metadaten
Verfasserangaben:Gustavo DecoORCiDGND, Enzo TagliazucchiORCiDGND, Helmut LaufsORCiDGND, Ana Maria Sanjuán, Morten L. KringelbachORCiDGND
URN:urn:nbn:de:hebis:30:3-439149
DOI:https://doi.org/10.1523/ENEURO.0106-17.2017
ISSN:2373-2822
Pubmed-Id:https://pubmed.ncbi.nlm.nih.gov/28966977
Titel des übergeordneten Werkes (Englisch):eNeuro
Verlag:Society for Neuroscience
Verlagsort:Washington, DC
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):02.11.2017
Datum der Erstveröffentlichung:15.09.2017
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:02.11.2017
Freies Schlagwort / Tag:ignition; integration; metastability; neuroimaging; whole-brain modeling
Jahrgang:4
Ausgabe / Heft:5, ENEURO.0106-17.2017
Seitenzahl:12
Erste Seite:1
Letzte Seite:12
Bemerkung:
Copyright © 2017 Deco et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed
HeBIS-PPN:425293343
Institute:Medizin / Medizin
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Lizenz (Deutsch):License LogoCreative Commons - Namensnennung 4.0