Identifying Seizure Onset Zone From the Causal Connectivity Inferred Using Directed Information

@article{Malladi2016IdentifyingSO,
  title={Identifying Seizure Onset Zone From the Causal Connectivity Inferred Using Directed Information},
  author={Rakesh Malladi and Giridhar P. Kalamangalam and Nitin Tandon and Behnaam Aazhang},
  journal={IEEE Journal of Selected Topics in Signal Processing},
  year={2016},
  volume={10},
  pages={1267-1283}
}
In this paper, we developed a model-based and a data-driven estimator for directed information (DI) to infer the causal connectivity graph between electrocorticographic (ECoG) signals recorded from brain and to identify the seizure onset zone (SOZ) in epileptic patients. DI, an information theoretic quantity, is a general metric to infer causal connectivity between time series and is not restricted to a particular class of models unlike the popular metrics based on Granger causality or transfer… 

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