Capturing the non-stationarity of whole-brain dynamics underlying human brain states

Galadi García, Javier Alejandro; Silva Pereira, S.; Sanz Perl, Y.; Kringelbach, M.L.; Gayte Delgado, Inmaculada; Laufs, H.; Tagliazucchi, E.; Langa Rosado, José Antonio; Deco, G.

doi:10.1016/j.neuroimage.2021.118551

Artículo

dc.creator	Galadi García, Javier Alejandro	es
dc.creator	Silva Pereira, S.	es
dc.creator	Sanz Perl, Y.	es
dc.creator	Kringelbach, M.L.	es
dc.creator	Gayte Delgado, Inmaculada	es
dc.creator	Laufs, H.	es
dc.creator	Tagliazucchi, E.	es
dc.creator	Langa Rosado, José Antonio	es
dc.creator	Deco, G.	es
dc.date.accessioned	2023-04-20T09:22:44Z
dc.date.available	2023-04-20T09:22:44Z
dc.date.issued	2021-09-08
dc.identifier.citation	Galadi García, J.A., Silva Pereira, S., Sanz Perl, Y., Kringelbach, M.L., Gayte Delgado, I., Laufs, H.,...,Deco, G. (2021). Capturing the non-stationarity of whole-brain dynamics underlying human brain states. NEUROIMAGE, 244, 118551-1. https://doi.org/10.1016/j.neuroimage.2021.118551.
dc.identifier.issn	1053-8119	es
dc.identifier.issn	1095-9572	es
dc.identifier.uri	https://hdl.handle.net/11441/144687
dc.description.abstract	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.	es
dc.format	application/pdf	es
dc.format.extent	17 p.	es
dc.language.iso	eng	es
dc.publisher	Elsevier	es
dc.relation.ispartof	NEUROIMAGE, 244, 118551-1.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Brain dynamics	es
dc.subject	Attractors	es
dc.subject	Energy levels	es
dc.subject	Sleep	es
dc.subject	Consciousness	es
dc.subject	Model transform	es
dc.title	Capturing the non-stationarity of whole-brain dynamics underlying human brain states	es
dc.type	info:eu-repo/semantics/article	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numérico	es
dc.relation.publisherversion	https://doi.org/10.1016/j.neuroimage.2021.118551	es
dc.identifier.doi	10.1016/j.neuroimage.2021.118551	es
dc.contributor.group	Universidad de Sevilla. FQM314: Análisis Estocástico de Sistemas Diferenciales	es
dc.journaltitle	NEUROIMAGE	es
dc.publication.volumen	244	es
dc.publication.initialPage	118551-1	es

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