Tracking the Time-Varying Cortical Connectivity Patterns by Adaptive Multivariate Estimators

@article{Astolfi2008TrackingTT,
  title={Tracking the Time-Varying Cortical Connectivity Patterns by Adaptive Multivariate Estimators},
  author={Laura Astolfi and Febo Cincotti and Donatella Mattia and Fabrizio de Vico Fallani and Andrea Tocci and Alfredo Colosimo and Serenella Salinari and Maria Grazia Marciani and Wolfram Hesse and Herbert Witte and Mauro Ursino and Melissa Zavaglia and Fabio Babiloni},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2008},
  volume={55},
  pages={902-913}
}
The directed transfer function (DTF) and the partial directed coherence (PDC) are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. However, the classical estimation of these methods is based on the multivariate autoregressive modelling (MVAR) of time series, which requires the stationarity of the signals. In this way, transient pathways of information transfer remains hidden. The objective of this study is to… CONTINUE READING
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