dc.creator | Soler Toscano, Fernando | es |
dc.creator | Galadí García, Javier Alejandro | es |
dc.creator | Escrichs, Anira | es |
dc.creator | Sanz Perl, Y. | es |
dc.creator | López González, Ane | es |
dc.creator | Sitt, Jacobo D. | es |
dc.creator | Annen, Jitka | es |
dc.creator | Gosseries, Olivia | es |
dc.creator | Thibaut, Aurore | es |
dc.creator | Panda, Rajanikant | es |
dc.creator | Esteban, Francisco J. | es |
dc.creator | Laureys, Steven | es |
dc.creator | Kringelbach, M.L. | es |
dc.creator | Langa Rosado, José Antonio | es |
dc.creator | Deco, Gustavo | es |
dc.date.accessioned | 2023-08-03T15:20:12Z | |
dc.date.available | 2023-08-03T15:20:12Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Soler Toscano, F., Galadí García, J.A., Escrichs, A., Sanz Perl, Y., López González, A., Sitt, J.D.,...,Deco, G. (2022). What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics. PLoS Computational Biology, 18 (9), e1010412, 1-20. https://doi.org/10.1371/journal.pcbi.1010412. | |
dc.identifier.issn | 1553-734X (impreso) | es |
dc.identifier.issn | 1553-7358 (electrónico) | es |
dc.identifier.uri | https://hdl.handle.net/11441/148394 | |
dc.description.abstract | The self-organising global dynamics underlying brain states emerge from complex recursive
nonlinear interactions between interconnected brain regions. Until now, most efforts of capturing the causal mechanistic generating principles have supposed underlying stationarity,
being unable to describe the non-stationarity of brain dynamics, i.e. time-dependent
changes. Here, we present a novel framework able to characterise brain states with high
specificity, precisely by modelling the time-dependent dynamics. Through describing a topological structure associated to the brain state at each moment in time (its attractor or ‘information structure’), we are able to classify different brain states by using the statistics across
time of these structures hitherto hidden in the neuroimaging dynamics. Proving the strong
potential of this framework, we were able to classify resting-state BOLD fMRI signals from
two classes of post-comatose patients (minimally conscious state and unresponsive wakefulness syndrome) compared with healthy controls with very high precision. | es |
dc.description.sponsorship | Consejería de Economía, Conocimiento, Empresas y Universidad, Junta de Andalucía P20_00592 | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades PGC2018-096540-B-I00 | es |
dc.description.sponsorship | Consejería de Economía, Conocimiento, Empresas y Universidad, Junta de Andalucía US-1254251 | es |
dc.description.sponsorship | NextGenerationEU Ayudas Margarita Salas, MSALAS-2022-19827 | es |
dc.description.sponsorship | Universidad de Jaén PAIUJA-EI_CTS02_2021 | es |
dc.description.sponsorship | Fundación Alicia Koplowitz OTR08262-2021 | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades PID2019-105772GB-I00 /AEI/10.13039/501100011033 | es |
dc.description.sponsorship | Horizonte 2020 Marie Sklodowska-Curie grant 896354 | es |
dc.description.sponsorship | Swiss National Science Foundation Sinergia grant no. 170873 | es |
dc.description.sponsorship | Fonds de la Recherche Scientifique (FNRS) | es |
dc.description.sponsorship | European Union’s Horizon 2020 Human Brain Project SGA3 | es |
dc.description.sponsorship | European Union’s Horizon 2020 Luminous project H2020-FETOPEN-2014-2015-RIA | es |
dc.description.sponsorship | European Union’s FP7 Programme FP7-HEALTH-602150 | es |
dc.description.sponsorship | National Natural Science Foundation of China Joint Research Project 81471100 | es |
dc.description.sponsorship | H2020 Marie Skłodowska-Curie Actions EU-2020-MSCA-RISE-778234 | es |
dc.format | application/pdf | es |
dc.format.extent | 20 p. | es |
dc.language.iso | eng | es |
dc.publisher | PLOS | es |
dc.relation.ispartof | PLoS Computational Biology, 18 (9), e1010412, 1-20. | |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics | 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 Filosofía y Lógica y Filosofía de la Ciencia | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numérico | |
dc.relation.projectID | P20_00592 | es |
dc.relation.projectID | PGC2018-096540-B-I00 | es |
dc.relation.projectID | US-1254251 | es |
dc.relation.projectID | MSALAS-2022-19827 | es |
dc.relation.projectID | PAIUJA-EI_CTS02_2021 | es |
dc.relation.projectID | OTR08262-2021 | es |
dc.relation.projectID | PID2019-105772GB-I00 /AEI/10.13039/501100011033 | es |
dc.relation.projectID | Marie Sklodowska-Curie grant 896354 | es |
dc.relation.projectID | Sinergia grant no. 170873 | es |
dc.relation.projectID | Human Brain Project SGA3 | es |
dc.relation.projectID | Luminous project H2020-FETOPEN-2014-2015-RIA | es |
dc.relation.projectID | FP7-HEALTH-602150 | es |
dc.relation.projectID | Joint Research Project 81471100 | es |
dc.relation.projectID | EU-2020-MSCA-RISE-778234 | es |
dc.relation.publisherversion | https://doi.org/10.1371/journal.pcbi.1010412 | es |
dc.identifier.doi | 10.1371/journal.pcbi.1010412 | es |
dc.journaltitle | PLoS Computational Biology | es |
dc.publication.volumen | 18 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | e1010412, 1 | es |
dc.publication.endPage | 20 | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |
dc.contributor.funder | Universidad de Jaén | es |
dc.contributor.funder | Fundación Alicia Koplowitz | es |
dc.contributor.funder | Unión Europea. Horizonte 2020 | es |
dc.contributor.funder | Swiss National Science Foundation | es |
dc.contributor.funder | Fonds de la Recherche Scientifique (FNRS). Bélgica | es |
dc.contributor.funder | National Natural Science Foundation of China | es |