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Abstract #3917

Oxygen and Glucose metabolism in connector hubs estimated from resting-state fMRI

Fatemeh Razavipour1,2, Kangjoo Lee3,4, Stephane Blinder2, Jean-Paul Soucy2,5, Claudine J. Gauthier1,2,6, and Christophe Grova1,2,3,5

1Physics, Concordia University, Montreal, QC, Canada, 2PERFORM Centre, Montreal, QC, Canada, 3Biomedical Engineering, McGill University, Montreal, QC, Canada, 4Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States, 5Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 6Montreal Heart Institute Research Institute, Montreal, QC, Canada

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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