Structural anomalies in brain networks induce dynamical pacemaker effects

dc.contributor.authorKoulierakis, Ioannis
dc.contributor.authorVerganelakis, Dimitris A.
dc.contributor.authorOmelchenko, Iryna
dc.contributor.authorZakharova, Anna
dc.contributor.authorSchöll, Eckehard
dc.contributor.authorProvata, Astero
dc.date.accessioned2020-12-10T10:59:36Z
dc.date.available2020-12-10T10:59:36Z
dc.date.issued2020-11-19
dc.descriptionThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Chaos 30, 113137 (2020) and may be found at https://doi.org/10.1063/5.0006207.en
dc.description.abstractDynamical effects on healthy brains and brains affected by tumor are investigated via numerical simulations. The brains are modeled as multilayer networks consisting of neuronal oscillators whose connectivities are extracted from Magnetic Resonance Imaging (MRI) data. The numerical results demonstrate that the healthy brain presents chimera-like states where regions with high white matter concentrations in the direction connecting the two hemispheres act as the coherent domain, while the rest of the brain presents incoherent oscillations. To the contrary, in brains with destructed structures, traveling waves are produced initiated at the region where the tumor is located. These areas act as the pacemaker of the waves sweeping across the brain. The numerical simulations are performed using two neuronal models: (a) the FitzHugh–Nagumo model and (b) the leaky integrate-and-fire model. Both models give consistent results regarding the chimera-like oscillations in healthy brains and the pacemaker effect in the tumorous brains. These results are considered a starting point for further investigation in the detection of tumors with small sizes before becoming discernible on MRI recordings as well as in tumor development and evolution.en
dc.description.sponsorshipDFG, 163436311, SFB 910: Kontrolle selbstorganisierender nichtlinearer Systeme: Theoretische Methoden und Anwendungskonzepteen
dc.identifier.eissn1089-7682
dc.identifier.issn1054-1500
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/12172
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-11046
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc610 Medizin und Gesundheitde
dc.subject.ddc530 Physikde
dc.subject.otherneuron modelen
dc.subject.otherartificial neural networksen
dc.subject.othermultilayeren
dc.subject.otherMagnetic Resonance Imagingen
dc.subject.otherMRIen
dc.subject.otherchimeraen
dc.subject.otherbrainen
dc.titleStructural anomalies in brain networks induce dynamical pacemaker effectsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber113137en
dcterms.bibliographicCitation.doi10.1063/5.0006207en
dcterms.bibliographicCitation.journaltitleChaos : an interdisciplinary journal of nonlinear scienceen
dcterms.bibliographicCitation.originalpublishernameAmerican Institute of Physics (AIP)en
dcterms.bibliographicCitation.originalpublisherplaceMelville, NYen
dcterms.bibliographicCitation.volume30en
tub.accessrights.dnbdomain*
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Theoretische Physik::FG Nichtlineare Dynamik und Kontrollede
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.groupFG Nichtlineare Dynamik und Kontrollede
tub.affiliation.instituteInst. Theoretische Physikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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