Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain
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Universidade Federal de Minas Gerais
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Artigo de periódico
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Resumo
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.
Abstract
Assunto
Dinâmica, Teoria dos grafos, Repouso
Palavras-chave
Resting state, Protein synthesis, Functional connectivity, Graph theory, Dynamics
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https://www.sciencedirect.com/science/article/pii/S1053811917303828?via%3Dihub