Mutual Information in Frequency and Its Application to Measure Cross-Frequency Coupling in Epilepsy

@article{Malladi2018MutualII,
  title={Mutual Information in Frequency and Its Application to Measure Cross-Frequency Coupling in Epilepsy},
  author={Rakesh Malladi and Don H. Johnson and Giridhar P. Kalamangalam and Nitin Tandon and Behnaam Aazhang},
  journal={IEEE Transactions on Signal Processing},
  year={2018},
  volume={66},
  pages={3008-3023}
}
We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the statistical dependence between different frequency components in the data, referred to as cross-frequency coupling and apply it to electrophysiological recordings from the brain to infer cross-frequency coupling. The current metrics used to quantify the cross-frequency coupling in neuroscience cannot detect if two frequency components in non-Gaussian brain recordings are statistically independent… 

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