Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/57816 |
Resumo: | Human neuroimaging research has revealed that wakefulness and sleep involve very different activity patterns. Yet, it is not clear why brain states differ in their dynamical complexity, e.g. in the level of integration and segregation across brain networks over time. Here, we investigate the mechanisms underlying the dynamical stability of brain states using a novel off-line in silico perturbation protocol. We first adjust a whole-brain computational model to the basal dynamics of wakefulness and deep sleep recorded with fMRI in two independent human fMRI datasets. Then, the models of sleep and awake brain states are perturbed using two distinct multifocal protocols either promoting or disrupting synchronization in randomly selected brain areas. Once perturbation is halted, we use a novel measure, the Perturbative Integration Latency Index (PILI), to evaluate the recovery back to baseline. We find a clear distinction between models, consistently showing larger PILI in wakefulness than in deep sleep, corroborating previous experimental findings. In the models, larger recoveries are associated to a critical slowing down induced by a shift in the model's operation point, indicating that the awake brain operates further from a stable equilibrium than deep sleep. This novel approach opens up for a new level of artificial perturbative studies unconstrained by ethical limitations allowing for a deeper investigation of the dynamical properties of different brain states. |
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Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain statesAdultBrainComputer SimulationElectroencephalographyFunctional NeuroimagingHumansMagnetic Resonance ImagingSleep StagesWakefulnessBrain stateSleepWhole brain modelingPerturbationScience & TechnologyHuman neuroimaging research has revealed that wakefulness and sleep involve very different activity patterns. Yet, it is not clear why brain states differ in their dynamical complexity, e.g. in the level of integration and segregation across brain networks over time. Here, we investigate the mechanisms underlying the dynamical stability of brain states using a novel off-line in silico perturbation protocol. We first adjust a whole-brain computational model to the basal dynamics of wakefulness and deep sleep recorded with fMRI in two independent human fMRI datasets. Then, the models of sleep and awake brain states are perturbed using two distinct multifocal protocols either promoting or disrupting synchronization in randomly selected brain areas. Once perturbation is halted, we use a novel measure, the Perturbative Integration Latency Index (PILI), to evaluate the recovery back to baseline. We find a clear distinction between models, consistently showing larger PILI in wakefulness than in deep sleep, corroborating previous experimental findings. In the models, larger recoveries are associated to a critical slowing down induced by a shift in the model's operation point, indicating that the awake brain operates further from a stable equilibrium than deep sleep. This novel approach opens up for a new level of artificial perturbative studies unconstrained by ethical limitations allowing for a deeper investigation of the dynamical properties of different brain states.GD was supported by the ERC Advanced Grant: DYSTRUCTURE (n. 295129), by the Spanish Research Project SAF2010-16085 and the FP7-ICT BrainScales. MLK and JC were supported by the ERC Consolidator Grant: CAREGIVING (n. 615539) and Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117). JC was supported under the project NORTE-01-0145-FEDER-000023, supported by the Northern Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER).info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoDeco, GustavoCabral, JoanaSaenger, Victor M.Boly, MelanieTagliazucchi, EnzoLaufs, HelmutVan Someren, EusJobst, BeatriceStevner, AngusKringelbach, Morten L.2018-042018-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/57816engDeco, G., Cabral, J., Saenger, V. M., Boly, M., Tagliazucchi, E., Laufs, H., ... & Kringelbach, M. L. (2018). Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states. NeuroImage, 169, 46-561053-81191095-957210.1016/j.neuroimage.2017.12.00929225066info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-09-30T01:28:18Zoai:repositorium.sdum.uminho.pt:1822/57816Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:15:40.001284Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states |
title |
Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states |
spellingShingle |
Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states Deco, Gustavo Adult Brain Computer Simulation Electroencephalography Functional Neuroimaging Humans Magnetic Resonance Imaging Sleep Stages Wakefulness Brain state Sleep Whole brain modeling Perturbation Science & Technology |
title_short |
Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states |
title_full |
Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states |
title_fullStr |
Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states |
title_full_unstemmed |
Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states |
title_sort |
Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states |
author |
Deco, Gustavo |
author_facet |
Deco, Gustavo Cabral, Joana Saenger, Victor M. Boly, Melanie Tagliazucchi, Enzo Laufs, Helmut Van Someren, Eus Jobst, Beatrice Stevner, Angus Kringelbach, Morten L. |
author_role |
author |
author2 |
Cabral, Joana Saenger, Victor M. Boly, Melanie Tagliazucchi, Enzo Laufs, Helmut Van Someren, Eus Jobst, Beatrice Stevner, Angus Kringelbach, Morten L. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Deco, Gustavo Cabral, Joana Saenger, Victor M. Boly, Melanie Tagliazucchi, Enzo Laufs, Helmut Van Someren, Eus Jobst, Beatrice Stevner, Angus Kringelbach, Morten L. |
dc.subject.por.fl_str_mv |
Adult Brain Computer Simulation Electroencephalography Functional Neuroimaging Humans Magnetic Resonance Imaging Sleep Stages Wakefulness Brain state Sleep Whole brain modeling Perturbation Science & Technology |
topic |
Adult Brain Computer Simulation Electroencephalography Functional Neuroimaging Humans Magnetic Resonance Imaging Sleep Stages Wakefulness Brain state Sleep Whole brain modeling Perturbation Science & Technology |
description |
Human neuroimaging research has revealed that wakefulness and sleep involve very different activity patterns. Yet, it is not clear why brain states differ in their dynamical complexity, e.g. in the level of integration and segregation across brain networks over time. Here, we investigate the mechanisms underlying the dynamical stability of brain states using a novel off-line in silico perturbation protocol. We first adjust a whole-brain computational model to the basal dynamics of wakefulness and deep sleep recorded with fMRI in two independent human fMRI datasets. Then, the models of sleep and awake brain states are perturbed using two distinct multifocal protocols either promoting or disrupting synchronization in randomly selected brain areas. Once perturbation is halted, we use a novel measure, the Perturbative Integration Latency Index (PILI), to evaluate the recovery back to baseline. We find a clear distinction between models, consistently showing larger PILI in wakefulness than in deep sleep, corroborating previous experimental findings. In the models, larger recoveries are associated to a critical slowing down induced by a shift in the model's operation point, indicating that the awake brain operates further from a stable equilibrium than deep sleep. This novel approach opens up for a new level of artificial perturbative studies unconstrained by ethical limitations allowing for a deeper investigation of the dynamical properties of different brain states. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04 2018-04-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/57816 |
url |
https://hdl.handle.net/1822/57816 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Deco, G., Cabral, J., Saenger, V. M., Boly, M., Tagliazucchi, E., Laufs, H., ... & Kringelbach, M. L. (2018). Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states. NeuroImage, 169, 46-56 1053-8119 1095-9572 10.1016/j.neuroimage.2017.12.009 29225066 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132602587676672 |