Surreal-GAN Aging1
This is the dimension/subtype 1 (Aging1) of brain aging defined by the Surreal-GAN model using brain imaging data from the iSTAGING consortium, where Aging1 exhibits significant associations with subcortical atrophy, mainly concentrated in the caudate and putamen.
QQ plot
Manhattan plot
Summary Statistics
Data: GWAS summary statistics and pre-trained AI models for Surreal-GAN Aging1 derived from brain MRI data using UK Biobank.
Citation: Yang, Z., Wen, J. (Co-supervision & Genetic analyses), Erus, G., Melhem, R., Mamourian, E., Cui, Y., Srinivasan, D., Abdulkadir, A., Parmpi, P. and Wittfeld, K., 2023. Brain aging patterns in a large and diverse cohort of 49,482 individuals. Nature Medicine .
Citation: Yang, Z., Wen, J. and Davatzikos, C., 2023. Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. ICLR.