Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization.

@article{Kiebel2006DynamicCM,
  title={Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization.},
  author={Stefan J. Kiebel and Olivier David and Karl J. Friston},
  journal={NeuroImage},
  year={2006},
  volume={30 4},
  pages={1273-84}
}
Dynamical causal modeling (DCM) of evoked responses is a new approach to making inferences about connectivity changes in hierarchical networks measured with electro- and magnetoencephalography (EEG and MEG). In a previous paper, we illustrated this concept using a lead field that was specified with infinite prior precision. With this prior, the spatial expression of each source area, in the sensors, is fixed. In this paper, we show that using lead field parameters with finite precision enables… CONTINUE READING
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