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

Title: Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain.
Authors: Hellyer, PJ
Barry, EF
Pellizzon, A
Veronese, M
Rizzo, G
Tonietto, M
Schütze, M
Brammer, M
Aurélio Romano-Silva, M
Bertoldo, A
Turkheimer, FE
Item Type: Journal Article
Abstract: L-[1-(11)C]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 [(18)F]FDG PET). Whilst some relationships between [(18)F]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-(11)C]Leucine than [(18)F]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.
Issue Date: 2-May-2017
Date of Acceptance: 26-Apr-2017
URI: http://hdl.handle.net/10044/1/52852
DOI: https://dx.doi.org/10.1016/j.neuroimage.2017.04.062
Start Page: 209
End Page: 216
Journal / Book Title: Neuroimage
Volume: 155
Copyright Statement: © 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Sponsor/Funder: Wellcome Trust
Funder's Grant Number: 106092/Z/14/Z
Keywords: Science & Technology
Life Sciences & Biomedicine
Neurosciences
Neuroimaging
Radiology, Nuclear Medicine & Medical Imaging
Neurosciences & Neurology
Resting state
Protein synthesis
Functional connectivity
Graph theory
Dynamics
DEFAULT-MODE NETWORK
INDEPENDENT COMPONENT ANALYSIS
HUMAN CONNECTOME PROJECT
HILBERT TRANSFORM PAIRS
TISSUE AMINO-ACIDS
REGIONAL RATES
CORTICAL NETWORKS
SPECTRAL-ANALYSIS
FRONTOPARIETAL CONTROL
CONNECTIVITY NETWORKS
11 Medical And Health Sciences
17 Psychology And Cognitive Sciences
Neurology & Neurosurgery
Publication Status: Published
Conference Place: United States
Open Access location: http://www.sciencedirect.com/science/article/pii/S1053811917303828
Appears in Collections:Bioengineering
Division of Surgery
Division of Cancer
Faculty of Medicine



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