Controlling extended criticality via modular connectivity

dc.contributor.authorGutjahr, Nikita
dc.contributor.authorHövel, Philipp
dc.contributor.authorViol, Aline
dc.date.accessioned2022-02-03T15:22:44Z
dc.date.available2022-02-03T15:22:44Z
dc.date.issued2021-09-16
dc.date.updated2022-02-01T14:47:34Z
dc.description.abstractCriticality has been conjectured as an integral part of neuronal network dynamics. Operating at a critical threshold requires precise parameter tuning and a corresponding mechanism remains an open question. Recent studies have suggested that topological features observed in brain networks give rise to a Griffiths phase, leading to power-law scaling in brain activity dynamics and the operational benefits of criticality in an extended parameter region. Motivated by growing evidence of neural correlates of different states of consciousness, we investigate how topological changes affect the expression of a Griffiths phase. We analyze the activity decay in modular networks using a susceptible-infected-susceptible propagation model and find that we can control the extension of the Griffiths phase by altering intra- and intermodular connectivity. We find that by adjusting system parameters, we can counteract changes in critical behavior and maintain a stable critical region despite changes in network topology. Our results give insight into how structural network properties affect the emergence of a Griffiths phase and how its features are linked to established topological network metrics. We discuss how those findings could contribute to an understanding of the changes in functional brain networks.en
dc.identifier.eissn2632-072X
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/16293
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-15068
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc530 Physikde
dc.subject.othercriticalityen
dc.subject.otherGriffiths phaseen
dc.subject.othermodular networksen
dc.subject.othergeodesic entropyen
dc.subject.otherepidemic spreadingen
dc.subject.otherbrain networksen
dc.titleControlling extended criticality via modular connectivityen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber035023en
dcterms.bibliographicCitation.doi10.1088/2632-072X/ac202een
dcterms.bibliographicCitation.issue3en
dcterms.bibliographicCitation.journaltitleJournal of Physics: Complexityen
dcterms.bibliographicCitation.originalpublishernameIOPen
dcterms.bibliographicCitation.originalpublisherplaceBristolen
dcterms.bibliographicCitation.volume2en
tub.accessrights.dnbfreeen
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Theoretische Physikde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.instituteInst. Theoretische Physikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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