Probing scale interaction in brain dynamics through synchronization

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• dc.contributor.author Barardi, Alessandro
• dc.contributor.author Malagarriga, Daniel
• dc.contributor.author Sancristobal, Belén
• dc.contributor.author García-Ojalvo, Jordi
• dc.contributor.author Pons, Antonio J.
• dc.date.accessioned 2023-05-19T06:03:59Z
• dc.date.available 2023-05-19T06:03:59Z
• dc.date.issued 2014
• dc.description.abstract The mammalian brain operates in multiple spatial scales simultaneously, ranging from the microscopic scale of single neurons through the mesoscopic scale of cortical columns, to the macroscopic scale of brain areas. These levels of description are associated with distinct temporal scales, ranging from milliseconds in the case of neurons to tens of seconds in the case of brain areas. Here, we examine theoretically how these spatial and temporal scales interact in the functioning brain, by considering the coupled behaviour of two mesoscopic neural masses (NMs) that communicate with each other through a microscopic neuronal network (NN). We use the synchronization between the two NM models as a tool to probe the interaction between the mesoscopic scales of those neural populations and the microscopic scale of the mediating NN. The two NM oscillators are taken to operate in a low-frequency regime with different peak frequencies (and distinct dynamical behaviour). The microscopic neuronal population, in turn, is described by a network of several thousand excitatory and inhibitory spiking neurons operating in a synchronous irregular regime, in which the individual neurons fire very sparsely but collectively give rise to a well-defined rhythm in the gamma range. Our results show that this NN, which operates at a fast temporal scale, is indeed sufficient to mediate coupling between the two mesoscopic oscillators, which evolve dynamically at a slower scale. We also establish how this synchronization depends on the topological properties of the microscopic NN, on its size and on its oscillation frequency.
• dc.description.sponsorship This work was supported by the European Commission through the FP7 Marie Curie Initial Training Network 289146 (NETT: Neural Engineering Transformative Technologies), the Ministerio de Economia y Competividad (Spain, project FIS2012-37655) and the Generalitat de Catalunya (project 2009SGR1168). J.G.O. acknowledges support from the ICREA Academia programme.
• dc.format.mimetype application/pdf
• dc.identifier.citation Barardi A, Malagarriga D, Sancristobal B, García Ojalvo J, Pons AJ. Probing scale interaction in brain dynamics through synchronization. Philos Trans R Soc Lond B Biol Sci. 2014;369(1653):20130533. DOI: 10.1098/rstb.2013.0533
• dc.identifier.doi http://dx.doi.org/10.1098/rstb.2013.0533
• dc.identifier.issn 0962-8436
• dc.identifier.uri http://hdl.handle.net/10230/56898
• dc.language.iso eng
• dc.publisher Royal Society
• dc.relation.ispartof Philosophical Transactions of the Royal Society B: Biological Sciences. 2014;369(1653):20130533.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/289146
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/FIS2012-37655
• dc.rights © The Royal Society https://doi.org/10.1098/rstb.2013.0533
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword multiscale dynamics
• dc.subject.keyword brain synchronization
• dc.subject.keyword neural mass models
• dc.subject.keyword conductance-based models
• dc.title Probing scale interaction in brain dynamics through synchronization
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion