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dc.contributor.author
Sanz Perl Hernandez, Yonatan
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dc.contributor.author
Escrichs, Anira
dc.contributor.author
Tagliazucchi, Enzo
dc.contributor.author
Kringelbach, Morten L.
dc.contributor.author
Deco, Gustavo
dc.date.available
2023-08-02T13:29:26Z
dc.date.issued
2022-11
dc.identifier.citation
Sanz Perl Hernandez, Yonatan; Escrichs, Anira; Tagliazucchi, Enzo; Kringelbach, Morten L.; Deco, Gustavo; Strength-dependent perturbation of wholebrain model working in different regimes reveals the role of fluctuations in brain dynamics; Public Library of Science; Plos Computational Biology; 18; 11; 11-2022; 1-32
dc.identifier.issn
1553-734X
dc.identifier.uri
http://hdl.handle.net/11336/206491
dc.description.abstract
Despite decades of research, there is still a lack of understanding of the role and generating mechanisms of the ubiquitous fluctuations and oscillations found in recordings of brain dynamics. Here, we used whole-brain computational models capable of presenting different dynamical regimes to reproduce empirical data's turbulence level. We showed that the model's fluctuations regime fitted to turbulence more faithfully reproduces the empirical functional connectivity compared to oscillatory and noise regimes. By applying global and local strength-dependent perturbations and subsequently measuring the responsiveness of the model, we revealed each regime's computational capacity demonstrating that brain dynamics is shifted towards fluctuations to provide much-needed flexibility. Importantly, fluctuation regime stimulation in a brain region within a given resting state network modulates that network, aligned with previous empirical and computational studies. Furthermore, this framework generates specific, testable empirical predictions for human stimulation studies using strength-dependent rather than constant perturbation. Overall, the whole-brain models fitted to the level of empirical turbulence together with functional connectivity unveil that the fluctuation regime best captures empirical data, and the strength-dependent perturbative framework demonstrates how this regime provides maximal flexibility to the human brain.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Public Library of Science
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Neuroimaging
dc.subject
Computational Modelling
dc.subject
In silico perturbation
dc.subject
Brain dynamical regimes
dc.subject.classification
Otras Ciencias Naturales y Exactas
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dc.subject.classification
Otras Ciencias Naturales y Exactas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Strength-dependent perturbation of wholebrain model working in different regimes reveals the role of fluctuations in brain dynamics
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-08-02T10:48:39Z
dc.journal.volume
18
dc.journal.number
11
dc.journal.pagination
1-32
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Escrichs, Anira. Universitat Pompeu Fabra; España
dc.description.fil
Fil: Tagliazucchi, Enzo. Universidad de Buenos Aires; Argentina
dc.description.fil
Fil: Kringelbach, Morten L.. University Aarhus; Dinamarca
dc.description.fil
Fil: Deco, Gustavo. Monash University; Australia. Universitat Pompeu Fabra; España
dc.journal.title
Plos Computational Biology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1371/journal.pcbi.1010662
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