Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling.

ABSTRACT: Brain structural connectivity, capturing the white matter fiber tracts among brain regions inferred by diffusion MRI (dMRI), provides a unique characterization of brain anatomical organization. One fundamental question to address with structural connectivity is how to properly summarize and perform statistical inference for a group-level connectivity architecture, for instance, under different sex groups, or disease cohorts. Existing analyses commonly summarize group-level brain connectivity by a simple entry-wise sample mean or median across individual brain connectivity matrices. However, such a heuristic approach fully ignores the associations among structural connections and the topological properties of brain networks. In this project, we propose a latent space-based generative networ

SUBMITTER: Wang S 

PROVIDER: S-EPMC11609031 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature