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    Hi Johanna, and everyone reading,<br>
    <br>
    Thanks very much for that insight re cfg.supdip option. I'll have a
    look and try it.<br>
    <br>
    Best,<br>
    May<br>
    <br>
    <br>
    <br>
    <div class="moz-cite-prefix">On 21/03/2014 11:00,
      <a class="moz-txt-link-abbreviated" href="mailto:fieldtrip-request@science.ru.nl">fieldtrip-request@science.ru.nl</a> wrote:<br>
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    <blockquote
      cite="mid:mailman.0.1395399622.16808.fieldtrip@science.ru.nl"
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              <div class="headerdisplayname" style="display:inline;">Subject:
              </div>
              Re: [FieldTrip] fieldtrip Digest, Vol 40, Issue 33</td>
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              <div class="headerdisplayname" style="display:inline;">From:
              </div>
              Johanna Zumer <a class="moz-txt-link-rfc2396E" href="mailto:johanna.zumer@gmail.com"><johanna.zumer@gmail.com></a></td>
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              <div class="headerdisplayname" style="display:inline;">Date:
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              20/03/2014 13:03</td>
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              <div class="headerdisplayname" style="display:inline;">To:
              </div>
              FieldTrip discussion list <a class="moz-txt-link-rfc2396E" href="mailto:fieldtrip@science.ru.nl"><fieldtrip@science.ru.nl></a></td>
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        <div dir="ltr">Hi May, Inna, everyone,
          <div><br>
          </div>
          <div>I'm not sure exactly what Inna meant by the ROI,
            specifically whether the ROI was applied to source space or
            to sensors.   Applying a ROI to sources will not work: the
            beamformer result at one location in the brain is the same
            irrespective of where else you also compute a beamformer
            result.   However, perhaps Inna meant ROI over channels
            (e.g. left channels for the left auditory cortex).  If so,
            then as she says, it will reduce the problem a bit but it
            will still be there.   See cfg.supchan in ft_sourceanalysis.</div>
          <div><br>
          </div>
          <div>Indeed the method by Dalal et al. was initially
            implemented in the <a moz-do-not-send="true"
              href="http://www.nitrc.org/projects/nutmeg/"
              target="_blank">NUTMEG </a>software (which is compatible
            with FieldTrip).  However, it is also now implemented in
            FieldTrip by using the cfg.supdip option in
            ft_sourceanalysis, which allows you to suppress a region
            (e.g. right auditory cortex) so that you can estimate
            activity elsewhere (e.g. left auditory cortex).</div>
          <div><br>
          </div>
          <div>Cheers,</div>
          <div>Johanna</div>
          <div><br>
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          <div><br>
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          <div><br>
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          <div><br>
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          <div><br>
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        <div class="gmail_extra"><br>
          <br>
          <div class="gmail_quote">2014-03-20 11:47 GMT+00:00 Heng-Ru
            May Tan <span dir="ltr"><<a moz-do-not-send="true"
                href="mailto:Heng-RuMay.Tan@glasgow.ac.uk"
                target="_blank">Heng-RuMay.Tan@glasgow.ac.uk</a>></span>:<br>
            <blockquote class="gmail_quote" style="margin:0 0 0
              .8ex;border-left:1px #ccc solid;padding-left:1ex">
              <div text="#333300" bgcolor="#FFFFFF"> Hi Inna,<br>
                <br>
                Thanks for the suggestions re using ROI beamforming
                separately and references. I'll give it a go.<br>
                <br>
                BTW, I wonder if those beamforming algorithms e.g. Dalal
                et al2006 (IEEE biomed. eng.) might have already been
                implemented somewhere... or might it be something that
                fieldtrip might/could consider adding to their
                sourceanalysis options? =)<br>
                <br>
                Thanks,<br>
                May<br>
                <br>
                <br>
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                          <div style="display:inline">Subject: </div>
                          Re: [FieldTrip] Source localizing auditory
                          steady state responses</td>
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                        <td>
                          <div style="display:inline">From: </div>
                          "McGowin, Inna" <a moz-do-not-send="true"
                            href="mailto:mcgoiv0@wfu.edu"
                            target="_blank"><mcgoiv0@wfu.edu></a></td>
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                          <div style="display:inline">Date: </div>
                          19/03/2014 17:21</td>
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                          <div style="display:inline">To: </div>
                          FieldTrip discussion list <a
                            moz-do-not-send="true"
                            href="mailto:fieldtrip@science.ru.nl"
                            target="_blank"><fieldtrip@science.ru.nl></a></td>
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                            <div><br>
                              <div>Hey May,<br>
                              </div>
                              Beamorming on correlated sources is my
                              interest too. The problem is that most
                              beamformers (I deal with SAM and vector
                              beamformer) are going to suppress or/and
                              misplace any correlated source. The way I
                              deal with this problem is by creating a
                              region of interest (around primary
                              auditory cortex) and beaformer over each
                              ROI separately.  The signal correlation
                              problem is still there but with a lesser
                              extant (I think). Here is a great article
                              on this topic:<br>
                              Beamformer reconstruction of correlated
                              sources using a modified source model<br>
                            </div>
                            and <br>
                            Modified Beamformers for Coherent Source
                            Region Suppression<br>
                            <br>
                          </div>
                          Also if I localize evoked responses I always
                          prefer dipole fitting over other methods, you
                          could try the moving dipolar fitting method
                          and have your wave former from the dipole
                          t-course.<br>
                        </div>
                        Let me know how it will go for you.<br>
                      </div>
                      Cheers,<br>
                    </div>
                    Inna<br>
                    <div>
                      <div>
                        <div>
                          <div>
                            <div><br>
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                  <br clear="all">
                  <div>Inna McGowin<br>
                  </div>
                  <br>
                  <br>
                  On Wed, Mar 19, 2014 at 12:17 PM, Heng-Ru May Tan <span
                    dir="ltr"><<a moz-do-not-send="true"
                      href="mailto:Heng-RuMay.Tan@glasgow.ac.uk"
                      target="_blank">Heng-RuMay.Tan@glasgow.ac.uk</a>></span>
                  wrote:<br>
                  <br>
                  Hi All,<br>
                  I am trying to localize frequency specific ASSR but
                  have not been successful in doing so with the 'mne'
                  method in the ft_sourceanalysis.<br>
                  At the sensor-level the topo plots show clear
                  bilateral generators.<br>
                  <br>
                  Is it possible to localize the bilateral sources using
                  beamforming? And would I need to create a different
                  forward model?<br>
                  Additionally, I would also like to retrieve the source
                  signals and ideally comparing between 2 time periods
                  within the same trial.<br>
                  <br>
                  I would appreciate if someone could advise or comment
                  on how best to go about doing so.<br>
                  <br>
                  Thanks,<br>
                  May<span><font color="#888888"><br>
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