Bayesian network mediation analysis with application to the brain functional connectome.

ABSTRACT: The brain functional connectome, the collection of interconnected neural circuits along functional networks, facilitates a cutting-edge understanding of brain functioning, and has a potential to play a mediating role within the effect pathway between an exposure and an outcome. While existing mediation analytic approaches are capable of providing insight into complex processes, they mainly focus on a univariate mediator or mediator vector, without considering network-variate mediators. To fill the methodological gap and accomplish this exciting and urgent application, in the article, we propose an integrative mediation analysis under a Bayesian paradigm with networks entailing the mediation effect. To parameterize the network measurements, we introduce individually specified stochastic blo

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC10131252 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature