Bayesian pathway analysis over brain network mediators for survival data.

ABSTRACT: Technological advancements in noninvasive imaging facilitate the construction of whole brain interconnected networks, known as brain connectivity. Existing approaches to analyze brain connectivity frequently disaggregate the entire network into a vector of unique edges or summary measures, leading to a substantial loss of information. Motivated by the need to explore the effect mechanism among genetic exposure, brain connectivity, and time to disease onset with maximum information extraction, we propose a Bayesian approach to model the effect pathway between each of these components while quantifying the mediating role of brain networks. To accommodate the biological architectures of brain connectivity constructed along white matter fiber tracts, we develop a structural model which include

SUBMITTER: Tian X 

PROVIDER: S-EPMC11555425 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature