Dynamic causal modeling for EEG and MEG.

  title={Dynamic causal modeling for EEG and MEG.},
  author={Stefan J. Kiebel and Marta I. Garrido and Rosalyn Moran and Chun-Chuan Chen and Karl J. Friston},
  journal={Human brain mapping},
  volume={30 6},
We present a review of dynamic causal modeling (DCM) for magneto- and electroencephalography (M/EEG) data. DCM is based on a spatiotemporal model, where the temporal component is formulated in terms of neurobiologically plausible dynamics. Following an intuitive description of the model, we discuss six recent studies, which use DCM to analyze M/EEG and local field potentials. These studies illustrate how DCM can be used to analyze evoked responses (average response in time), induced responses… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS