Connector hubs are highly functionally connected regions of the brain, allowing efficient distant communication between segregated modules. To study their metabolism we localized them from resting-state fMRI data using a Sparsity-based analysis method and estimated the number of functional networks associated with each voxel (K-hubness). We used quantitative MRI with gas manipulations to estimate baseline cerebral metabolic rate of O2 (CMRO2), cerebral blood flow, oxygen extraction fraction, and FDG-PET to estimate the resting cerebral metabolic rate of Glucose (CMRGlu). Our results showed a power-law model of the relationship between K-hubness and their CMRO2 and CMRGlu, confirming the metabolic efficiency of hubs.
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