Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment

arXiv:2302.05451v3 Announce Type: replace
Abstract: Neuroscientific studies aim to find an accurate and reliable brain Effective Connectome (EC). Although current EC discovery methods have contributed to our understanding of brain organization, their performances are severely constrained by the short sample size and poor temporal resolution of fMRI data, and high dimensionality of the brain connectome. By leveraging the DTI data as prior knowledge, we introduce two Bayesian causal discovery frameworks -- the Bayesian GOLEM (BGOLEM) and Bayesian FGES (BFGES) methods …

abstract aim arxiv assessment bayesian brain causal contributed cs.ce cs.lg current data discovery fmri organization performances sample studies temporal type understanding