[Mne_analysis] Mne_analysis Digest, Vol 156, Issue 14

[Bruno Mansur]

        External Email - Use Caution        

Hi Daniel McCloy, thanks a lot for your answer!

As you said I had to to solve this problem writing a function. It's working
now :)

Best regards,

Bruno

Am Sa., 30. Jan. 2021 um 18:02 Uhr schrieb <
mne_analysis-request at nmr.mgh.harvard.edu>:

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>    1. Re: Defining Epochs according to event order (Dan McCloy)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sat, 30 Jan 2021 01:55:38 +0000
> From: Dan McCloy <dan at mccloy.info>
> Subject: Re: [Mne_analysis] Defining Epochs according to event order
> To: Discussion and support forum for the users of MNE Software
>         <mne_analysis at nmr.mgh.harvard.edu>
> Message-ID:
>
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> mccloy.info>
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> Content-Type: text/plain; charset="utf-8"
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>         External Email - Use Caution
>
> I don't think there's an easy / built-in way to do this in MNE-Python. Do
> the 3 events always occur in a predictable order? If so, I would write a
> function that takes in the original event array, finds occurrences of the
> "middle" event, looks before and after for the other events, and uses the
> sample numbers (in the first column of the events array) to determine how
> long before/after the middle event the epoch needs to be in order to
> include all 3. Then look across all epochs and pick the minimum "before
> time" and maximum "after time" to yield an epoch duration that is
> guaranteed to include all 3 events for *all* epochs (add some extra
> "padding" time if you want to prevent the events from ending up at the
> edges of the epoch). With those 2 numbers in hand as your `tmin` and
> `tmax`, you can epoch around the middle event and be sure that you'll
> always have the earlier and later event included.
>
> -- dan
> Daniel McCloy
>
> https://secure-web.cisco.com/1xy7_y1owFF9BI53hSPaCLPo6J9PCFvaQUJmvdW9O5AOH83rcGU6LNaZOQgGCCAc6v851U8FXMKiBDJNvKUV3FZu_QxHLOwsWjBaNodv-BX8uwMkGxY3KcPppdckrXuX3OJfXfZnamINvF3pth8kC1NJNRHnO_67KvY-GpJJkzySMWoG6PSDvU7RMwQxzUiO78TeIM5yi_ExQ00I5yLosQxA7th0EWQ6lYaIVNZFtPBRPRKmNmiOjlaZ9iS1zJ_SWtRw4t6OO1WkBCtM0pU6FTA/https%3A%2F%2Fdan.mccloy.info
> Research Scientist
> Institute for Learning and Brain Sciences
> University of Washington
>
> ??????? Original Message ???????
> On Thursday, January 28, 2021 7:21 PM, Bruno Mansur <
> brunommansur at gmail.com> wrote:
>
> > External Email - Use Caution
> >
> > Dear list members,
> >
> > I have the following event dictionary:
> >
> > event_dict = {
> >
> > 'False'
> >
> > :
> >
> > 1
> >
> > ,
> >
> > 'Hit'
> >
> > :
> >
> > 2
> >
> > ,
> >
> > 'MP1'
> >
> > :
> >
> > 3
> >
> > ,
> >
> > 'MP2'
> >
> > :
> >
> > 4
> >
> > ,
> >
> > 'MP3'
> >
> > :
> >
> > 5
> >
> > ,
> >
> > 'M_False'
> >
> > :
> >
> > 6
> >
> > ,
> >
> > 'M_Hit'
> >
> > :
> >
> > 7
> >
> > ,
> >
> > 'OGT'
> >
> > :
> >
> > 8
> >
> > ,
> >
> > 'PMC'
> >
> > :
> >
> > 9
> >
> > ,
> >
> > 'S  4'
> >
> > :
> >
> > 10
> >
> > ,
> >
> > 'actiCAP Data On'
> >
> > :
> >
> > 11
> >
> > ,
> >
> > 'boundary'
> >
> > :
> >
> > 12
> >
> > }
> >
> > and I want to create epochs that contain three events (?Hit?: 2,
> '?M_Hit?: 7, ?OGT?: 8). All three events should be contained in the same
> Epoch.
> >
> > So I first epoch my data passing the entire event_dict:
> >
> > epochs = mne.Epochs(raw_bandpass_ica, events, event_id=event_dict,
> >                     tmin=
> >
> > -0.2
> >
> > , tmax=
> >
> > 6
> >
> > , reject=reject_criteria, preload=
> >
> > True
> >
> > )
> >
> > And then, in order to create my desired epoch, I tried this:
> >
> > OGT = mne.pick_events(events, include=[
> >
> > 8
> >
> > ,
> >
> > 2
> >
> > ,
> >
> > 7
> >
> > ])
> > epochs[
> >
> > 'OGT'
> >
> > ].plot(events=OGT, event_id=event_dict,
> >                    event_color=dict(OGT=
> >
> > 'red'
> >
> > , Hit=
> >
> > 'blue'
> >
> > , M_Hit=
> >
> > 'green'
> >
> > ))
> >
> > However, the output I got was Epochs containing some of the three events
> and not all at the same time.
> >
> > Do you know how could I define Epochs containing concomitant events?
> >
> > I would appreciate any help
> >
> > Best regards,
> >
> > Bruno
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> End of Mne_analysis Digest, Vol 156, Issue 14
> *********************************************
>


-- 
*Bruno de Matos Mansur, M.Sc.*
Neurocybernetics und Rehabilitation
University Hospital Magdeburg
Leipziger Strasse 44, 39120 Magdeburg, Germany
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