<p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div dir="ltr">Thank you Alex,<div><br></div><div><p style="margin-top:0px;font-family:Helvetica,Arial,sans-serif;font-size:15px">Thank you so much <a class="gmail-mention" href="https://neuroimage.usc.edu/forums/u/sylvain" style="background:rgb(233,233,233);color:rgb(100,100,100);text-decoration-line:none;font-weight:bold;font-size:0.93em;padding:2px 4px;border-radius:8px">@sylvain</a>, <br>Infact I just found it in mne VERY INTERESTING!<br>but I do not know how can I switch now to mne (because I am dealing with BST),</p><p style="font-family:Helvetica,Arial,sans-serif;font-size:15px">With BST I just modified the channel (by exporting it to matlab and make some modification)<br>the issue as i see that mne accept fif file and BST do not export to fif file.<br>and I do not know how I can modify the channel in mne,</p></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, 9 Jul 2020 at 16:40, <<a href="mailto:mne_analysis-request@nmr.mgh.harvard.edu">mne_analysis-request@nmr.mgh.harvard.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Send Mne_analysis mailing list submissions to<br>
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Today's Topics:<br>
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1. Re: Average over channels (Alexandre Gramfort)<br>
2. Sensitivity of MEG and EEG to Source Orientation<br>
(Abdallah Qusaibe)<br>
3. Re: Sensitivity of MEG and EEG to Source Orientation<br>
(Alexandre Gramfort)<br>
4. Re: mn.time_frequency.tfr_array_stockwell (Alexandre Gramfort)<br>
<br>
<br>
----------------------------------------------------------------------<br>
<br>
Message: 1<br>
Date: Thu, 9 Jul 2020 13:26:43 +0200<br>
From: Alexandre Gramfort <<a href="mailto:alexandre.gramfort@inria.fr" target="_blank">alexandre.gramfort@inria.fr</a>><br>
Subject: Re: [Mne_analysis] Average over channels<br>
To: Discussion and support forum for the users of MNE Software<br>
<<a href="mailto:mne_analysis@nmr.mgh.harvard.edu" target="_blank">mne_analysis@nmr.mgh.harvard.edu</a>><br>
Message-ID:<br>
<CADeotZreg3GTtTf0-SRnEKgSGNmNidLrmrjPkYs=<a href="mailto:y2MEvo5ZwQ@mail.gmail.com" target="_blank">y2MEvo5ZwQ@mail.gmail.com</a>><br>
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<br>
External Email - Use Caution <br>
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hi,<br>
<br>
yes create an issue to we can exchange ideas more easily<br>
<br>
thx<br>
<br>
A<br>
<br>
On Thu, Jul 9, 2020 at 12:30 PM Johann Benerradi<br>
<<a href="mailto:Johann.Benerradi@nottingham.ac.uk" target="_blank">Johann.Benerradi@nottingham.ac.uk</a>> wrote:<br>
><br>
> External Email - Use Caution<br>
><br>
> Hi Alex,<br>
><br>
> Alright, thank you. Is that something users would be interested in, and worth creating a GitHub issue for feature request? I personally would like to do such a thing to average channels by ROI before classification with fNIRS (in addition to having this for visualisation)... I can eventually work on an implementation, but as for now I'll keep doing this with get_data() and np.mean().<br>
><br>
> Thanks,<br>
> Johann<br>
> ________________________________<br>
> From: <a href="mailto:mne_analysis-bounces@nmr.mgh.harvard.edu" target="_blank">mne_analysis-bounces@nmr.mgh.harvard.edu</a> <<a href="mailto:mne_analysis-bounces@nmr.mgh.harvard.edu" target="_blank">mne_analysis-bounces@nmr.mgh.harvard.edu</a>> on behalf of Alexandre Gramfort <<a href="mailto:alexandre.gramfort@inria.fr" target="_blank">alexandre.gramfort@inria.fr</a>><br>
> Sent: 09 July 2020 07:47<br>
> To: Discussion and support forum for the users of MNE Software <<a href="mailto:mne_analysis@nmr.mgh.harvard.edu" target="_blank">mne_analysis@nmr.mgh.harvard.edu</a>><br>
> Subject: Re: [Mne_analysis] Average over channels<br>
><br>
> External Email - Use Caution<br>
><br>
> hi Johann,<br>
><br>
> no it's not possible presently.<br>
><br>
> you can group channel when plotting though<br>
><br>
> <a href="https://mne.tools/stable/generated/mne.viz.plot_compare_evokeds.html#mne.viz.plot_compare_evokeds" rel="noreferrer" target="_blank">https://mne.tools/stable/generated/mne.viz.plot_compare_evokeds.html#mne.viz.plot_compare_evokeds</a><br>
><br>
> Alex<br>
><br>
> On Wed, Jul 8, 2020 at 11:43 PM Johann Benerradi<br>
> <<a href="mailto:Johann.Benerradi@nottingham.ac.uk" target="_blank">Johann.Benerradi@nottingham.ac.uk</a>> wrote:<br>
> ><br>
> > External Email - Use Caution<br>
> ><br>
> > Hello MNE users,<br>
> ><br>
> > I was wondering if there is an easy way to do an average over channels on a Raw or Epochs object. I've seen a few plotting functions with a "combine" parameter but is it possible to create a new Raw/Epochs object with combined channels (for example a new object with pseudo-channels representing ROIs)? I would like to avoid extracting a data array and doing it with NumPy if there is easier...<br>
> ><br>
> > Thanks a lot!<br>
> ><br>
> > Best wishes,<br>
> ><br>
> > Johann Benerradi<br>
> > -------------------------<br>
> > PhD Student<br>
> > School of Computer Science<br>
> > University of Nottingham, UK<br>
> > -------------------------<br>
> > <a href="https://hanbnrd.gitlab.io/" rel="noreferrer" target="_blank">https://hanbnrd.gitlab.io/</a><br>
> ><br>
> ><br>
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------------------------------<br>
<br>
Message: 2<br>
Date: Thu, 9 Jul 2020 12:27:33 +0200<br>
From: Abdallah Qusaibe <<a href="mailto:abdallah.qusaibe@gmail.com" target="_blank">abdallah.qusaibe@gmail.com</a>><br>
Subject: [Mne_analysis] Sensitivity of MEG and EEG to Source<br>
Orientation<br>
To: <a href="mailto:mne_analysis@nmr.mgh.harvard.edu" target="_blank">mne_analysis@nmr.mgh.harvard.edu</a><br>
Message-ID:<br>
<<a href="mailto:CAAj1RLs2uUnOy7%2B%2BH1LpPg1eGgpW77h5q%2B888xrEnaEBSXJXjQ@mail.gmail.com" target="_blank">CAAj1RLs2uUnOy7++H1LpPg1eGgpW77h5q+888xrEnaEBSXJXjQ@mail.gmail.com</a>><br>
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<br>
External Email - Use Caution <br>
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Dear All,<br>
<br>
Is there in mne tool, a function to measure the Sensitivity of MEG and EEG<br>
to Source Orientation?<br>
<br>
Best,<br>
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Message: 3<br>
Date: Thu, 9 Jul 2020 16:07:01 +0200<br>
From: Alexandre Gramfort <<a href="mailto:alexandre.gramfort@inria.fr" target="_blank">alexandre.gramfort@inria.fr</a>><br>
Subject: Re: [Mne_analysis] Sensitivity of MEG and EEG to Source<br>
Orientation<br>
To: Discussion and support forum for the users of MNE Software<br>
<<a href="mailto:mne_analysis@nmr.mgh.harvard.edu" target="_blank">mne_analysis@nmr.mgh.harvard.edu</a>><br>
Message-ID:<br>
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<br>
External Email - Use Caution <br>
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hi,<br>
<br>
you can have a look at:<br>
<br>
<a href="https://mne.tools/stable/generated/mne.sensitivity_map.html" rel="noreferrer" target="_blank">https://mne.tools/stable/generated/mne.sensitivity_map.html</a><br>
<br>
Alex<br>
<br>
On Thu, Jul 9, 2020 at 3:11 PM Abdallah Qusaibe<br>
<<a href="mailto:abdallah.qusaibe@gmail.com" target="_blank">abdallah.qusaibe@gmail.com</a>> wrote:<br>
><br>
> External Email - Use Caution<br>
><br>
> Dear All,<br>
><br>
> Is there in mne tool, a function to measure the Sensitivity of MEG and EEG to Source Orientation?<br>
><br>
> Best,<br>
><br>
> _______________________________________________<br>
> Mne_analysis mailing list<br>
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<br>
<br>
<br>
------------------------------<br>
<br>
Message: 4<br>
Date: Thu, 9 Jul 2020 16:38:32 +0200<br>
From: Alexandre Gramfort <<a href="mailto:alexandre.gramfort@inria.fr" target="_blank">alexandre.gramfort@inria.fr</a>><br>
Subject: Re: [Mne_analysis] mn.time_frequency.tfr_array_stockwell<br>
To: Discussion and support forum for the users of MNE Software<br>
<<a href="mailto:mne_analysis@nmr.mgh.harvard.edu" target="_blank">mne_analysis@nmr.mgh.harvard.edu</a>><br>
Message-ID:<br>
<CADeotZr_ceXp5BPvhkf=bBR=<a href="mailto:fHR2_8v95okR%2BJUNJqBNh8%2BC2A@mail.gmail.com" target="_blank">fHR2_8v95okR+JUNJqBNh8+C2A@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
External Email - Use Caution <br>
<br>
hi Paul,<br>
<br>
try:<br>
<br>
import numpy as np<br>
import mne<br>
<br>
raw = mne.io.read_raw_edf('/Users/fishbacp/Desktop/EEG_file.edf', preload=True)<br>
Fs = <a href="http://raw.info" rel="noreferrer" target="_blank">raw.info</a>['sfreq']<br>
data, times=raw[:, :]<br>
signal = data[[0]]<br>
min_freq = 5<br>
max_freq = 100<br>
st_power, itc, freqs = mne.time_frequency.tfr_array_stockwell(signal,<br>
Fs, fmin=min_freq, fmax=max_freq)<br>
<br>
--<br>
<br>
signal must be a 2d array with dimensions: channel x time<br>
<br>
Alex<br>
<br>
<br>
<br>
------------------------------<br>
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End of Mne_analysis Digest, Vol 150, Issue 16<br>
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