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dc.contributor.author
Galadí, J.A.
dc.contributor.author
Silva Pereira, S.
dc.contributor.author
Sanz Perl, Y.
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Kringelbach, M. L.
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Gayte, I.
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Laufs, H.
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Tagliazucchi, Enzo Rodolfo
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Langa, J. A.
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Deco, G.
dc.date.available
2022-12-21T11:58:46Z
dc.date.issued
2021-12
dc.identifier.citation
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
dc.identifier.issn
1053-8119
dc.identifier.uri
http://hdl.handle.net/11336/181904
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Press Inc Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
ATTRACTORS
dc.subject
BRAIN DYNAMICS
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CONSCIOUSNESS
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ENERGY LEVELS
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MODEL TRANSFORM
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SLEEP
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Otras Ciencias Físicas
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Capturing the non-stationarity of whole-brain dynamics underlying human brain states
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-28T13:39:30Z
dc.journal.volume
244
dc.journal.pagination
1-17
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Galadí, J.A.. Universitat Pompeu Fabra; España
dc.description.fil
Fil: Silva Pereira, S.. Universitat Pompeu Fabra; España
dc.description.fil
Fil: Sanz Perl, Y.. Universidad de Buenos Aires; Argentina. Universidad Favaloro; Argentina
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Fil: Kringelbach, M. L.. University of Oxford; Reino Unido
dc.description.fil
Fil: Gayte, I.. Universidad de Sevilla; España
dc.description.fil
Fil: Laufs, H.. No especifíca;
dc.description.fil
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
dc.description.fil
Fil: Langa, J. A.. Universidad de Sevilla; España
dc.description.fil
Fil: Deco, G.. Universitat Pompeu Fabra; España
dc.journal.title
Journal Neuroimag
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1053811921008247
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.neuroimage.2021.118551
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