A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect

@article{Esch2020ABM,
  title={A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect},
  author={Rik J. C. van Esch and Shengling Shi and A. Bernas and S. Zinger and A. Aldenkamp and P. M. Hof},
  journal={Computers in biology and medicine},
  year={2020},
  volume={127},
  pages={
          104055
        }
}
Several studies claim that listening to Mozart music affects cognition and can be used to treat neurological conditions like epilepsy. Research into this Mozart effect has not addressed how dynamic interactions between brain networks, i.e. effective connectivity, are affected. The Granger-causality analysis is often used to infer effective connectivity. First, we investigate if a new method, Bayesian topology identification, can be used as an alternative. Both methods are evaluated on… Expand

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