Capturing the non-stationarity of whole-brain dynamics underlying human brain states
- Autores
- Galadí, J.A.; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M. L.; Gayte, I.; Laufs, H.; Tagliazucchi, Enzo Rodolfo; Langa, J. A.; Deco, G.
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications.
Fil: Galadí, J.A.. Universitat Pompeu Fabra; España
Fil: Silva Pereira, S.. Universitat Pompeu Fabra; España
Fil: Sanz Perl, Y.. Universidad de Buenos Aires; Argentina. Universidad Favaloro; Argentina
Fil: Kringelbach, M. L.. University of Oxford; Reino Unido
Fil: Gayte, I.. Universidad de Sevilla; España
Fil: Laufs, H.. No especifíca;
Fil: Tagliazucchi, Enzo Rodolfo. 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: Langa, J. A.. Universidad de Sevilla; España
Fil: Deco, G.. Universitat Pompeu Fabra; España - Materia
-
ATTRACTORS
BRAIN DYNAMICS
CONSCIOUSNESS
ENERGY LEVELS
MODEL TRANSFORM
SLEEP - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/181904
Ver los metadatos del registro completo
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Capturing the non-stationarity of whole-brain dynamics underlying human brain statesGaladí, J.A.Silva Pereira, S.Sanz Perl, Y.Kringelbach, M. L.Gayte, I.Laufs, H.Tagliazucchi, Enzo RodolfoLanga, J. A.Deco, G.ATTRACTORSBRAIN DYNAMICSCONSCIOUSNESSENERGY LEVELSMODEL TRANSFORMSLEEPhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications.Fil: Galadí, J.A.. Universitat Pompeu Fabra; EspañaFil: Silva Pereira, S.. Universitat Pompeu Fabra; EspañaFil: Sanz Perl, Y.. Universidad de Buenos Aires; Argentina. Universidad Favaloro; ArgentinaFil: Kringelbach, M. L.. University of Oxford; Reino UnidoFil: Gayte, I.. Universidad de Sevilla; EspañaFil: Laufs, H.. No especifíca;Fil: Tagliazucchi, Enzo Rodolfo. 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: Langa, J. A.. Universidad de Sevilla; EspañaFil: Deco, G.. Universitat Pompeu Fabra; EspañaAcademic Press Inc Elsevier Science2021-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/181904Galadí, J.A.; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M. L.; Gayte, I.; et al.; Capturing the non-stationarity of whole-brain dynamics underlying human brain states; Academic Press Inc Elsevier Science; Journal Neuroimag; 244; 12-2021; 1-171053-8119CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1053811921008247info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2021.118551info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:26:44Zoai:ri.conicet.gov.ar:11336/181904instacron: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:34982025-09-29 10:26:44.416CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Capturing the non-stationarity of whole-brain dynamics underlying human brain states |
title |
Capturing the non-stationarity of whole-brain dynamics underlying human brain states |
spellingShingle |
Capturing the non-stationarity of whole-brain dynamics underlying human brain states Galadí, J.A. ATTRACTORS BRAIN DYNAMICS CONSCIOUSNESS ENERGY LEVELS MODEL TRANSFORM SLEEP |
title_short |
Capturing the non-stationarity of whole-brain dynamics underlying human brain states |
title_full |
Capturing the non-stationarity of whole-brain dynamics underlying human brain states |
title_fullStr |
Capturing the non-stationarity of whole-brain dynamics underlying human brain states |
title_full_unstemmed |
Capturing the non-stationarity of whole-brain dynamics underlying human brain states |
title_sort |
Capturing the non-stationarity of whole-brain dynamics underlying human brain states |
dc.creator.none.fl_str_mv |
Galadí, J.A. Silva Pereira, S. Sanz Perl, Y. Kringelbach, M. L. Gayte, I. Laufs, H. Tagliazucchi, Enzo Rodolfo Langa, J. A. Deco, G. |
author |
Galadí, J.A. |
author_facet |
Galadí, J.A. Silva Pereira, S. Sanz Perl, Y. Kringelbach, M. L. Gayte, I. Laufs, H. Tagliazucchi, Enzo Rodolfo Langa, J. A. Deco, G. |
author_role |
author |
author2 |
Silva Pereira, S. Sanz Perl, Y. Kringelbach, M. L. Gayte, I. Laufs, H. Tagliazucchi, Enzo Rodolfo Langa, J. A. Deco, G. |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
ATTRACTORS BRAIN DYNAMICS CONSCIOUSNESS ENERGY LEVELS MODEL TRANSFORM SLEEP |
topic |
ATTRACTORS BRAIN DYNAMICS CONSCIOUSNESS ENERGY LEVELS MODEL TRANSFORM SLEEP |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications. Fil: Galadí, J.A.. Universitat Pompeu Fabra; España Fil: Silva Pereira, S.. Universitat Pompeu Fabra; España Fil: Sanz Perl, Y.. Universidad de Buenos Aires; Argentina. Universidad Favaloro; Argentina Fil: Kringelbach, M. L.. University of Oxford; Reino Unido Fil: Gayte, I.. Universidad de Sevilla; España Fil: Laufs, H.. No especifíca; Fil: Tagliazucchi, Enzo Rodolfo. 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: Langa, J. A.. Universidad de Sevilla; España Fil: Deco, G.. Universitat Pompeu Fabra; España |
description |
Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human brain through a novel mathematical formalism that allows us characterise the attractor structure, i.e. the stationary points and their connections. Due to its time-varying nature, the structure of the global attractor and the corresponding number of energy levels changes over time. We apply this formalism to distinguish quantitatively between the different human brain states of wakefulness and different stages of sleep, as a step towards future clinical applications. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12 |
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/11336/181904 Galadí, J.A.; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M. L.; Gayte, I.; et al.; Capturing the non-stationarity of whole-brain dynamics underlying human brain states; Academic Press Inc Elsevier Science; Journal Neuroimag; 244; 12-2021; 1-17 1053-8119 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/181904 |
identifier_str_mv |
Galadí, J.A.; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M. L.; Gayte, I.; et al.; Capturing the non-stationarity of whole-brain dynamics underlying human brain states; Academic Press Inc Elsevier Science; Journal Neuroimag; 244; 12-2021; 1-17 1053-8119 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1053811921008247 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2021.118551 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Academic Press Inc Elsevier Science |
publisher.none.fl_str_mv |
Academic Press Inc Elsevier Science |
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_ |
1844614268586033152 |
score |
13.070432 |