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Variability of regional glucose metabolism and the topology of functional networks in the human brain
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Variability of regional glucose metabolism and the topology of functional networks in the human brain
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Journal Article
Variability of regional glucose metabolism and the topology of functional networks in the human brain
2022
Overview
•18F-FDG PET SUVR is moderately related to fMRI FC graph metrics across brain regions.•The SUVR-STR coupling is stronger and more linear for FC hubs.•Connector hubs have higher SUVR than provincial hubs.•There is a link between network integration and energy consumption.
The brain consumes the most energy per relative mass amongst the organs in the human body. Theoretical and empirical studies have shown that behavioral processes are relatively inexpensive metabolically, and that most energy goes to maintaining the status quo, i.e., the balance of cell membranes’ resting potentials and subthreshold spontaneous activity. Spontaneous activity fluctuates across brain regions in a correlated fashion that defines multi-scale hierarchical networks called resting-state networks (RSNs). Different regions of the brain display different metabolic consumption, but the relationship between regional brain metabolism and RSNs is still under investigation.
Here, we examine the variability of glucose metabolism across brain regions, measured with the relative standard uptake value (SUVR) using 18F-FDG PET, and the topology of RSNs, measured through graph analysis applied to fMRI resting-state functional connectivity (FC).
We found a moderate linear relationship between the strength (STR) of pairwise regional FC and metabolism. Moreover, the linear correlation between SUVR and STR grew stronger as we considered more connected regions (hubs). Regions connecting different RSNs, or connector hubs, showed higher SUVR than regions connecting nodes within the same RSN, or provincial hubs. Our results show that functional connections as probed by fMRI are related to glucose metabolism, especially in a system of provincial and connector hubs.
Publisher
Elsevier Inc,Elsevier Limited,Elsevier
