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Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources

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Keywords
Brain Connectivity, Source Reconstruction, Granger Causality, Modelling

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Citation

Please use this url to cite or link to this publication:

Chicago
Anzolin, Alessandra, Paolo Presti, Frederik Van de Steen, Laura Astolfi, Stefan Haufe, and Daniele Marinazzo. 2019. “Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources.” Brain Topography.
APA
Anzolin, A., Presti, P., Van de Steen, F., Astolfi, L., Haufe, S., & Marinazzo, D. (2019). Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources. Brain Topography.
Vancouver
1.
Anzolin A, Presti P, Van de Steen F, Astolfi L, Haufe S, Marinazzo D. Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources. Brain Topography. Springer Nature; 2019;
MLA
Anzolin, Alessandra et al. “Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources.” Brain Topography (2019): n. pag. Print.
@article{8612360,
  author       = {Anzolin, Alessandra and Presti, Paolo and Van de Steen, Frederik and Astolfi, Laura and Haufe, Stefan and Marinazzo, Daniele},
  issn         = {0896-0267},
  journal      = {Brain Topography},
  publisher    = {Springer Nature},
  title        = {Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources},
  url          = {http://dx.doi.org/10.1007/s10548-019-00705-z},
  year         = {2019},
}

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