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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/56647
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dc.creatorPeter Hellyerpt_BR
dc.creatorAlessandra Bertoldopt_BR
dc.creatorFederico Turkheimerpt_BR
dc.creatorErica Barrypt_BR
dc.creatorAlberto Pellizzonpt_BR
dc.creatorMattia Veronesept_BR
dc.creatorGaia Rizzopt_BR
dc.creatorMatteo Toniettopt_BR
dc.creatorManuel Schützept_BR
dc.creatorMichael Brammerpt_BR
dc.creatorMarco Aurelio Romano Silvapt_BR
dc.date.accessioned2023-07-18T20:35:25Z-
dc.date.available2023-07-18T20:35:25Z-
dc.date.issued2017-
dc.citation.volume155pt_BR
dc.citation.issue15pt_BR
dc.citation.spage209pt_BR
dc.citation.epage216pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.neuroimage.2017.04.062pt_BR
dc.identifier.issn1053-8119pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/56647-
dc.description.resumoL-[1-11C]leucine PET can be used to measure in vivo protein synthesis in the brain. However, the relationship between regional protein synthesis and on-going neural dynamics is unclear. We use a graph theoretical approach to examine the relationship between cerebral protein synthesis (rCPS) and both static and dynamical measures of functional connectivity (measured using resting state functional MRI, R-fMRI). Our graph theoretical analysis demonstrates a significant positive relationship between protein turnover and static measures of functional connectivity. We compared these results to simple measures of metabolism in the cortex using [18F]FDG PET). Whilst some relationships between [18F]FDG binding and graph theoretical measures was present, there remained a significant relationship between protein turnover and graph theoretical measures, which were more robustly explained by L-[1-11C]Leucine than [18F]FDG PET. This relationship was stronger in dynamics at a faster temporal resolution relative to dynamics measured over a longer epoch. Using a Dynamic connectivity approach, we also demonstrate that broad-band dynamic measures of Functional Connectivity (FC), are inversely correlated with protein turnover, suggesting greater stability of FC in highly interconnected hub regions is supported by protein synthesis. Overall, we demonstrate that cerebral protein synthesis has a strong relationship independent of tissue metabolism to neural dynamics at the macroscopic scale.pt_BR
dc.languageporpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentMED - DEPARTAMENTO DE SAÚDE MENTALpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofNeuroImagept_BR
dc.rightsAcesso Abertopt_BR
dc.subjectResting statept_BR
dc.subjectProtein synthesispt_BR
dc.subjectFunctional connectivitypt_BR
dc.subjectGraph theorypt_BR
dc.subjectDynamicspt_BR
dc.subject.otherDinâmicapt_BR
dc.subject.otherTeoria dos grafospt_BR
dc.subject.otherRepousopt_BR
dc.titleProtein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brainpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.sciencedirect.com/science/article/pii/S1053811917303828?via%3Dihubpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-5139-3401pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6262-6354pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3766-3815pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9054-3073pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-3562-0683pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-7272-8576pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9591-5710pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1947-9675pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6558-4639pt_BR
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