Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain

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dc.creatorPeter Hellyer
dc.creatorAlessandra Bertoldo
dc.creatorFederico Turkheimer
dc.creatorErica Barry
dc.creatorAlberto Pellizzon
dc.creatorMattia Veronese
dc.creatorGaia Rizzo
dc.creatorMatteo Tonietto
dc.creatorManuel Schütze
dc.creatorMichael Brammer
dc.creatorMarco Aurelio Romano Silva
dc.date.accessioned2023-07-18T20:35:25Z
dc.date.accessioned2025-09-09T00:09:42Z
dc.date.available2023-07-18T20:35:25Z
dc.date.issued2017
dc.identifier.doihttps://doi.org/10.1016/j.neuroimage.2017.04.062
dc.identifier.issn1053-8119
dc.identifier.urihttps://hdl.handle.net/1843/56647
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofNeuroImage
dc.rightsAcesso Aberto
dc.subjectDinâmica
dc.subjectTeoria dos grafos
dc.subjectRepouso
dc.subject.otherResting state
dc.subject.otherProtein synthesis
dc.subject.otherFunctional connectivity
dc.subject.otherGraph theory
dc.subject.otherDynamics
dc.titleProtein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain
dc.typeArtigo de periódico
local.citation.epage216
local.citation.issue15
local.citation.spage209
local.citation.volume155
local.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.
local.identifier.orcidhttps://orcid.org/0000-0002-5139-3401
local.identifier.orcidhttps://orcid.org/0000-0002-6262-6354
local.identifier.orcidhttps://orcid.org/0000-0002-3766-3815
local.identifier.orcidhttps://orcid.org/0000-0001-9054-3073
local.identifier.orcidhttps://orcid.org/0000-0003-3562-0683
local.identifier.orcidhttps://orcid.org/0000-0001-7272-8576
local.identifier.orcidhttps://orcid.org/0000-0001-9591-5710
local.identifier.orcidhttps://orcid.org/0000-0003-1947-9675
local.identifier.orcidhttps://orcid.org/0000-0002-6558-4639
local.publisher.countryBrasil
local.publisher.departmentMED - DEPARTAMENTO DE SAÚDE MENTAL
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S1053811917303828?via%3Dihub

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