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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