Smile-GAN Aging3
This is the dimension/subtype 3 (Aging3) of brain aging defined by the Smile-GAN model using brain imaging data from the iSTAGING consortium, where Aging3 shows severe, widespread atrophy, moderate presence of CVRFs, and greater cognitive decline.
QQ plot
Manhattan plot
Summary Statistics
Data: GWAS summary statistics and pre-trained AI models for Smile-GAN Aging3 derived from brain MRI data using UK Biobank.
Citation: Nasrallah, I.M., Abdulkadir, A., Wen, J. (Genetic analyses), Melhem, R., Mamourian, E., Erus, G., Doshi, J., Singh, A., Yang, Z. and Cui, Y., 2024. Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals. JAMA psychiatry.
Citation: Yang, Z., Nasrallah, I.M., Shou, H., Wen, J., Doshi, J., Habes, M., Erus, G., Abdulkadir, A., Resnick, S.M., Albert, M.S. and Maruff, P., 2021. A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure. Nature communications, 12(1), p.7065.