[Mne_analysis] MNE and EEG channel synchrony
Theodore Vasiloudis
theodoros.vasiloudis at gmail.com
Tue Oct 14 03:44:10 EDT 2014
Hello Hari,
What I'm trying to do is recreate the techniques used in [1] for with the
purpose of
EEG classification.
More specifically I would like to compute some of the Wavelet-based
synchrony
measures shown in Appendix A.4.
There the authors do not try to extract epochs from the data but rather
extract 5 second
segments from the multichannel EEG signal, compute the phase for each
channel in every frame ,
and use that in order to compute the statistics on the differences of phase
between
channels for the same segment.
[1] Classification of patterns of EEG synchronization for seizure prediction
<https://whiteboard.cs.tau.ac.il/~nin/Courses/Seminar14a/Epilepsy.pdf>
> Hi Theodore,
>
> Most connectivity metrics are based on some sort of consistency of the
> phase relationship between two signals across epochs/trials... In your
> example, the PLV looks for how repeatable the phase difference between two
> channels across epochs/trials...
> Thus you may want to consider in what sense you want to compute
> synchrony and what that would mean before attempting to use the
> spectral_connectivity(.) capabilities of MNE.
>
> HTH,
> Hari
>
>
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