Dynamic causal modelling of EEG and fMRI to characterize network architectures in a simple motor task

@article{Bnstrup2016DynamicCM,
  title={Dynamic causal modelling of EEG and fMRI to characterize network architectures in a simple motor task},
  author={Marlene B{\"o}nstrup and Robert Schulz and Jan-Frederik Feldheim and Friedhelm Hummel and Christian Gerloff},
  journal={NeuroImage},
  year={2016},
  volume={124 Pt A},
  pages={498-508}
}
Dynamic causal modelling (DCM) has extended the understanding of brain network dynamics in a variety of functional systems. In the motor system, DCM studies based on functional magnetic resonance imaging (fMRI) or on magneto-/electroencephalography (M/EEG) have demonstrated movement-related causal information flow from secondary to primary motor areas and have provided evidence for nonlinear cross-frequency interactions among motor areas. The present study sought to investigate to what extent… CONTINUE READING
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