Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning

arXiv:2309.07080v3 Announce Type: replace-cross
Abstract: Understanding the complex mechanisms of the brain can be unraveled by extracting the Dynamic Effective Connectome (DEC). Recently, score-based Directed Acyclic Graph (DAG) discovery methods have shown significant improvements in extracting the causal structure and inferring effective connectivity. However, learning DEC through these methods still faces two main challenges: one with the fundamental impotence of high-dimensional dynamic DAG discovery methods and the other with the low quality of fMRI data. In this paper, we introduce …

abstract arxiv bayesian brain causal connectivity cs.lg dag discovery dynamic graph however improvements q-bio.nc through type understanding