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.
This abstract and the presentation materials are available to members only;
a login is required.
