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Abstract #0767

Resting-state BOLD local synchrony as a strong proxy of glucose uptake and as a biomarker of aging using functionally-driven gray matter parcelization

Michaël Bernier1, Étienne Croteau2, Christian-Alexandre Castellano2, Stephen C Cunnane2, and Kevin Whittingstall3

1Nuclear medecine and radiobiology, Université de Sherbrooke, Sherbrooke, QC, Canada, 2Research center of aging, Université de Sherbrooke, Sherbrooke, QC, Canada, 3Diagnostic radiology, Université de Sherbrooke, Sherbrooke, QC, Canada

Currently, PET is the primary imaging modality used to infer energy metabolism in the brain. It is also known to be a reliable biomarker of aging and cognitive diseases. However, the cost and invasive nature of PET limits its use in basic research. There is therefore great interest in developing alternative less invasive approaches for estimating brain glucose metabolism. Using resting state fMRI metrics such as regional local homogeneity (ReHo), amplitude of low-frequencies fluctuations (ALFF) and regional global connectivity (closeness) we found that both regional- and subject-variations in ReHo strongly correlate with brain glucose uptake in healthy young and aging participants.

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