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<body dir="ltr"><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>
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<p>Dear Marijn, <br>
</p>
<p><br>
</p>
<p>Thank you very much, this is immensely helpful. I'll have a look and try it out.
<br>
</p>
<p><br>
</p>
<p>Best wishes, <br>
</p>
<p>Mate<br>
</p>
<br>
<br>
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<div id="x_divRplyFwdMsg" dir="ltr"><font style="font-size:11pt" face="Calibri, sans-serif" color="#000000"><b>From:</b> mne_analysis-bounces@nmr.mgh.harvard.edu <mne_analysis-bounces@nmr.mgh.harvard.edu> on behalf of mne_analysis-request@nmr.mgh.harvard.edu
<mne_analysis-request@nmr.mgh.harvard.edu><br>
<b>Sent:</b> 23 June 2020 05:22<br>
<b>To:</b> mne_analysis@nmr.mgh.harvard.edu<br>
<b>Subject:</b> Mne_analysis Digest, Vol 149, Issue 28</font>
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<div class="PlainText">Message: 3<br>
Date: Tue, 23 Jun 2020 07:22:11 +0300<br>
From: Marijn van Vliet <w.m.vanvliet@gmail.com><br>
Subject: Re: [Mne_analysis] DICS with external sitmulus<br>
To: mne_analysis@nmr.mgh.harvard.edu, maria.hakonen@aalto.fi,<br>
Liljestr?m Mia <mia.liljestrom@aalto.fi>, sara.tuomaala@aalto.fi<br>
Message-ID: <cfb2c8e3-09c1-e032-0d0a-81eb6e1de4b6@gmail.com><br>
Content-Type: text/plain; charset="windows-1252"<br>
<br>
External Email - Use Caution <br>
<br>
Dear M?t?,<br>
<br>
<br>
MNE-Python doesn't support this (yet). In our department, we are working <br>
on an implementation of this, to be added to our DICS based connectivity <br>
toolbox "conpy" (<a href="https://github.com/aaltoimaginglanguage/conpy" id="LPlnk826869" previewremoved="true">https://github.com/aaltoimaginglanguage/conpy</a>). You can
<br>
check out the "external" branch of that repository, which contains our <br>
work in progress code (in connectivity.py and check out the example in <br>
examples/plot_coherence_ext_ref.py).<br>
<br>
<br>
best,<br>
Marijn.<br>
<br>
<br>
<br>
On 22/06/2020 11:21, Mate Aller wrote:<br>
><br>
> ????????External Email - Use Caution<br>
><br>
> Dear All,<br>
><br>
><br>
> I would like to source localize MEG coherence with an external <br>
> stimulus (speech envelope) using DICS. This would be very similar to <br>
> the cortico-muscular coherence analysis presented in the original DICS <br>
> paper by Gross et al. (2001) PNAS. Digging through the MNE python <br>
> tutorials, I couldn't find one for this analysis.<br>
><br>
><br>
> This question has been posted to the mailing list before: <br>
> <a href="https://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/2018-April/004883.htmlHowever" id="LPlnk654790" previewremoved="true">
https://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/2018-April/004883.htmlHowever</a>,
<br>
> the provided responses in this thread point to an alternative solution <br>
> instead of DICS.<br>
><br>
><br>
> I was wondering if in the meantime this has been implemented in MNE <br>
> python??Any help pointing me to the right direction would be greatly <br>
> appreciated.<br>
><br>
><br>
> Many thanks,<br>
><br>
> M?t? Aller<br>
><br>
><br>
> ________________________________<br>
><br>
> Dr M?t? Aller, PhD<br>
><br>
> MRC Cognition and Brain Sciences Unit<br>
><br>
> University of Cambridge<br>
><br>
> 15 Chaucer Rd<br>
><br>
> Cambridge CB2 7EF<br>
><br>
> United Kingdom<br>
><br>
> <a href="http://www.mrc-cbu.cam.ac.uk<http://www.mrc-cbu.cam.ac.uk/">www.mrc-cbu.cam.ac.uk<http://www.mrc-cbu.cam.ac.uk/</a>><br>
><br>
><br>
><br>
> _______________________________________________<br>
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