1/9 🧵 Age is the largest risk factor for Alzheimer’s disease. Our new study uses deep learning to try and understand metabolic and structural brain aging in this context. #endalz #AI @NaipMayo @MayoClinicNeuro 2/9 We used both structural MRI (MAE 3.5 yrs) and FDG-PET (MAE 3.1 yrs) for deep learning based brain age prediction. FDG-PET is slightly better and both results had out-of-sample replication in ADNI.

1/n 🧵on the brief history of patterns seen on FDG-PET in Alzheimer's disease over the past 40 years. It's a story about a full circle convergence with the past 20 years of functional MRI. AD Heteromodal v primary cortex--> DMN--> AD--> principle gradient--> and the GFSS. #endalz 2/n “This, as well as other recent work, clearly suggests that the abnormal behavior of the demented subject may be related more to the disturbed functioning of surviving tissue than to loss of brain substance itself.” Friedland, et al. J Comput Assist Tomogr. 1983 Aug;7(4):590-8