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

Autores
Deco, Gustavo; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Sanjuán, Ana; Kringelbach, Morten L.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
Fil: Tagliazucchi, Enzo Rodolfo. Goethe Universitat Frankfurt; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania
Fil: Sanjuán, Ana. Universitat Pompeu Fabra; España
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. Institut D?études Avancées de Paris; . University Aarhus; Dinamarca
Materia
IGNITION
INTEGRATION
METASTABILITY
NEUROIMAGING
WHOLE-BRAIN MODELING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/55681
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleepDeco, GustavoTagliazucchi, Enzo RodolfoLaufs, HelmutSanjuán, AnaKringelbach, Morten L.IGNITIONINTEGRATIONMETASTABILITYNEUROIMAGINGWHOLE-BRAIN MODELINGhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1A 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.Fil: Deco, Gustavo. Universitat Pompeu Fabra; EspañaFil: Tagliazucchi, Enzo Rodolfo. Goethe Universitat Frankfurt; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Laufs, Helmut. Goethe Universitat Frankfurt; AlemaniaFil: Sanjuán, Ana. Universitat Pompeu Fabra; EspañaFil: Kringelbach, Morten L.. University of Oxford; Reino Unido. Institut D?études Avancées de Paris; . University Aarhus; DinamarcaSociety for Neuroscience2017-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/55681Deco, Gustavo; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Sanjuán, Ana; Kringelbach, Morten L.; Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep; Society for Neuroscience; eNeuro; 4; 5; 9-2017; 1-122373-2822CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1523/ENEURO.0106-17.2017info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:54Zoai:ri.conicet.gov.ar:11336/55681instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:46:54.419CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep
title Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep
spellingShingle Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep
Deco, Gustavo
IGNITION
INTEGRATION
METASTABILITY
NEUROIMAGING
WHOLE-BRAIN MODELING
title_short Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep
title_full Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep
title_fullStr Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep
title_full_unstemmed Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep
title_sort Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep
dc.creator.none.fl_str_mv Deco, Gustavo
Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Sanjuán, Ana
Kringelbach, Morten L.
author Deco, Gustavo
author_facet Deco, Gustavo
Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Sanjuán, Ana
Kringelbach, Morten L.
author_role author
author2 Tagliazucchi, Enzo Rodolfo
Laufs, Helmut
Sanjuán, Ana
Kringelbach, Morten L.
author2_role author
author
author
author
dc.subject.none.fl_str_mv IGNITION
INTEGRATION
METASTABILITY
NEUROIMAGING
WHOLE-BRAIN MODELING
topic IGNITION
INTEGRATION
METASTABILITY
NEUROIMAGING
WHOLE-BRAIN MODELING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
Fil: Tagliazucchi, Enzo Rodolfo. Goethe Universitat Frankfurt; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Laufs, Helmut. Goethe Universitat Frankfurt; Alemania
Fil: Sanjuán, Ana. Universitat Pompeu Fabra; España
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. Institut D?études Avancées de Paris; . University Aarhus; Dinamarca
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/55681
Deco, Gustavo; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Sanjuán, Ana; Kringelbach, Morten L.; Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep; Society for Neuroscience; eNeuro; 4; 5; 9-2017; 1-12
2373-2822
CONICET Digital
CONICET
url http://hdl.handle.net/11336/55681
identifier_str_mv Deco, Gustavo; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; Sanjuán, Ana; Kringelbach, Morten L.; Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep; Society for Neuroscience; eNeuro; 4; 5; 9-2017; 1-12
2373-2822
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1523/ENEURO.0106-17.2017
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Society for Neuroscience
publisher.none.fl_str_mv Society for Neuroscience
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842268823527358464
score 13.13397

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