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Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
In the investigation of any causal mechanisms, such as the brain's causal networks, the assumption of causal sufficiency plays a critical role.
Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment
By leveraging the DTI data as prior knowledge, we introduce two Bayesian causal discovery frameworks -- the Bayesian GOLEM (BGOLEM) and Bayesian FGES (BFGES) methods -- that offer significantly more accurate and reliable ECs and address the shortcomings of the existing causal discovery methods in discovering ECs based on only fMRI data.
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