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dc.contributor.author
Deco, Gustavo
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Purps, Josephine
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Cabral, Joana
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Tagliazucchi, Enzo Rodolfo
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Laufs, Helmut
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Logothetis, Nikos K.
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Kringelbach, Morten L.
dc.date.available
2021-11-26T15:52:43Z
dc.date.issued
2019-09
dc.identifier.citation
Deco, Gustavo; Purps, Josephine; Cabral, Joana; Tagliazucchi, Enzo Rodolfo; Laufs, Helmut; et al.; Awakening: Predicting external stimulation to force transitions between different brain states; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 116; 36; 9-2019; 18088-18097
dc.identifier.issn
0027-8424
dc.identifier.uri
http://hdl.handle.net/11336/147521
dc.description.abstract
A fundamental problem in systems neuroscience is how to force a transition from one brain state to another by external driven stimulation in, for example, wakefulness, sleep, coma, or neuropsychiatric diseases. This requires a quantitative and robust definition of a brain state, which has so far proven elusive. Here, we provide such a definition, which, together with whole-brain modeling, permits the systematic study in silico of how simulated brain stimulation can force transitions between different brain states in humans. Specifically, we use a unique neuroimaging dataset of human sleep to systematically investigate where to stimulate the brain to force an awakening of the human sleeping brain and vice versa.We show where this is possible using a definition of a brain state as an ensemble of "metastable substates," each with a probabilistic stability and occurrence frequency fitted by a generative whole-brain model, fine-tuned on the basis of the effective connectivity. Given the biophysical limitations of direct electrical stimulation (DES) of microcircuits, this opens exciting possibilities for discovering stimulation targets and selecting connectivity patterns that can ensure propagation of DES-induced neural excitation, potentially making it possible to create awakenings from complex cases of brain injury.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
National Academy of Sciences
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
BRAIN STATES
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COMPUTATIONAL NEUROSCIENCE
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ELECTRICAL STIMULATION
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METASTATES
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MODELING
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Otras Ciencias Físicas
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Awakening: Predicting external stimulation to force transitions between different 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
2020-11-20T15:55:31Z
dc.journal.volume
116
dc.journal.number
36
dc.journal.pagination
18088-18097
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Washington DC, USA
dc.description.fil
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Max Planck Institute for Human Cognitive and Brain Sciences; Alemania. Monash University; Australia
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Fil: Purps, Josephine. Universitat Pompeu Fabra; España
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Fil: Cabral, Joana. University of Oxford; Reino Unido. University Aarhus; Dinamarca. Universidade do Minho; Portugal
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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
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Fil: Laufs, Helmut. Christian Albrechts Universitat Zu Kiel; Alemania. Goethe Universitat Frankfurt; Alemania
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Fil: Logothetis, Nikos K.. Goethe Universitat Frankfurt; Alemania. University of Manchester; Reino Unido. Christian Albrechts Universitat Zu Kiel; Alemania
dc.description.fil
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca. Universidade do Minho; Portugal
dc.journal.title
Proceedings of the National Academy of Sciences of The United States of America
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.pnas.org/lookup/doi/10.1073/pnas.1905534116
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1073/pnas.1905534116
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