Abstract #3867

Longitudinal brain age is informative of future executive function in Asian children and elderly

Susan F. Cheng^1,2, Wan Lin Yue^1,2, Kwun Kei Ng¹, Xing Qian¹, Siwei Liu¹, Trevor W.K. Tan^1,2, Kim-Ngan Nguyen¹, Ruth L.F. Leong¹, Evelyn C. Law^3,4, Peter D. Gluckman^3,5, Christopher Li-Hsian Chen^1,4, Michael J. Meaney^1,3,6,7, Michael W.L. Chee¹, B.T. Thomas Yeo^1,2,8,9, and Juan Helen Zhou^1,2,8

¹Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, ²Integrative Sciences and Engineering Programme, NUS Graduate School, National University of Singapore, Singapore, Singapore, ³Singapore Institute for Clinical Sciences (SICS), A*STAR Research Entities (ARES), Singapore, Singapore, ⁴National University Health System, Singapore, Singapore, ⁵Liggins Institute, University of Auckland, Auckland, New Zealand, ⁶Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada, ⁷Strategic Research Program, A*STAR Research Entities (ARES), Singapore, Singapore, ⁸Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore, ⁹N.1 Institute for Health & Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore

Synopsis

Keywords: Aging, Brain

Motivation: Brain age models have not been well-tested in non-Caucasian populations or longitudinally.

Goal(s): We aimed to determine whether brain age models generalize to an Asian population and whether longitudinal changes in brain age associate with future cognition.

Approach: We applied a pretrained brain age model to Singaporean elderly and children, compared our results after finetuning the model, and examined cross-sectional and longitudinal associations with cognition.

Results: The model could be directly applied to elderly, but finetuning was necessary for children. The longitudinal change in brain age gap significantly associated with future executive function performance in both elderly and children.

Impact: We show that there is real potential for generalizing brain age models to diverse populations, and that the longitudinal change in brain age contains additional information about future executive function, compared to baseline brain age.

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