[Mne_analysis] MNE and EEG channel synchrony

[Alexandre Gramfort]

hi,

the segments you mention are what we call epochs.

use the mne.event.make_fixed_length_events function to produce events
and then 5s long epochs.

HTH
Alex

On Tue, Oct 14, 2014 at 9:44 AM, Theodore Vasiloudis
<theodoros.vasiloudis at gmail.com> wrote:
> 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
>
>
>
>>
>> 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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