Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/56647
Tipo: Artigo de Periódico
Título: Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain
Autor(es): Peter Hellyer
Alessandra Bertoldo
Federico Turkheimer
Erica Barry
Alberto Pellizzon
Mattia Veronese
Gaia Rizzo
Matteo Tonietto
Manuel Schütze
Michael Brammer
Marco Aurelio Romano Silva
Resumen: L-[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.
Asunto: Dinâmica
Teoria dos grafos
Repouso
Idioma: por
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Institución: UFMG
Departamento: MED - DEPARTAMENTO DE SAÚDE MENTAL
Tipo de acceso: Acesso Aberto
Identificador DOI: https://doi.org/10.1016/j.neuroimage.2017.04.062
URI: http://hdl.handle.net/1843/56647
Fecha del documento: 2017
metadata.dc.url.externa: https://www.sciencedirect.com/science/article/pii/S1053811917303828?via%3Dihub
metadata.dc.relation.ispartof: NeuroImage
Aparece en las colecciones:Artigo de Periódico

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