Dynamic causal modelling for fMRI: A two-state model

  title={Dynamic causal modelling for fMRI: A two-state model},
  author={Andr{\'e} C. Marreiros and Stefan J. Kiebel and Karl J. Friston},
  volume={39 1},
Dynamical causal modelling (DCM) for functional magnetic resonance imaging (fMRI) is a technique to infer directed connectivity among brain regions. These models distinguish between a neuronal level, which models neuronal interactions among regions, and an observation level, which models the hemodynamic responses each region. The original DCM formulation considered only one neuronal state per region. In this work, we adopt a more plausible and less constrained neuronal model, using two neuronal… CONTINUE READING
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