An MCMC-Based Method for Dynamic Causal Modeling of Effective Connectivity in Functional MRI
基于 MCMC 的功能磁共振有效连接动态因果建模
Effective connectivity analysis in functional magnetic resonance imaging (fMRI) studies directional interactions among brain regions and experimental stimuli. Dynamic causal modeling (DCM) is a widely used method to estimate effective connectivity, based on a state-space representation consisting of a latent neural signal model and an observation model transforming the neural signal into the observed blood-oxygen-level-dependent (BOLD) response. A standard DCM combines…