A NEW MULTIPLE-MEDIATOR MODEL MAXIMALLY UNCOVERING THE MEDIATION PATHWAY: EVALUATING THE ROLE OF NEUROIMAGING MEASURES IN AGE-RELATED COGNITIVE DECLINE

• 成果类型: Article
• 署名作者: Lee, Hwiyoung; Chen, Chixiang; Kochunov, Peter; Hong, L. Elliot; Chen, Shuo
• 署名单位: University System of Maryland; University of Maryland Baltimore; University System of Maryland; University of Maryland Baltimore; University of Texas System; University of Texas Health Science Center Houston; Baylor College of Medicine; Baylor College Medical Hospital
• 刊物名称: ANNALS OF APPLIED STATISTICS
• ISSN/ISSBN: 1932-6157
• DOI: 10.1214/24-AOAS1905
• 发表日期: 2024
• 页码: 2775-2795
• 关键词: fractional anisotropy; white-matter; brain; selection

摘要

Aging changes brain functions and structures in a downward trajectory and consequently leads to a decline in neurocognitive performance. Our research is motivated by understanding whether and to what extent the ageeffect on cognitive decline can be explained by neuroimaging measures. We consider a new mediation model with age as an independent variable, while treating neuroimaging data and cognitive function as the multiple mediators and outcome, respectively. Given that the brain is the primary organ responsible for cognitive function, it is neurobiologically intuitive that the age-related decline in cognition is largely mediated through neuroimaging measures. Additionally, cognitive function is localized to certain regions of the brain rather than being a function of the entire brain. Taking these factors into account, we propose a novel mediation model with multiple mediators that aims to maximally uncover the mediation pathway while simultaneously identifying active neuroimaging mediators by imposing an L1 penalty and 2 pound constraint. We develop a computationally efficient algorithm to handle the nonconvex optimization problem of penalized mediation proportion maximization. We apply our method to a data example of 37,441 participants of UK Biobank with cortical gray-matter thickness and white-matter integrity measures and cognitive performance scores. Our results show that the mediation effect of brain-imaging variables can explain 97% of age-related cognitive decline.