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    Hey Haiteng,<br>
    <br>
    Following up on Arjen's point; I've noticed that when people in the
    MEG close their eyes for a couple of minutes, their heads sometimes
    drop a little (ie nose moves toward chest). If your clinical group
    were feeling more drowsy during the recording and thus dropped their
    heads more, this would lead to exactly the kind of systematic SNR
    difference that Arjen is describing, and maybe most acutely in
    posterior sensors.<br>
    <br>
    Best,<br>
    Tom<br>
    <br>
    <div class="moz-cite-prefix">On 1/5/2015 3:39 PM, Stolk, A. (Arjen)
      wrote:<br>
    </div>
    <blockquote
      cite="mid:B1E918C91415AC4B9437A1EEC90D79AFCDBB2E@exprd01.hosting.ru.nl"
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      <div style="direction: ltr;font-family: Tahoma;color:
        #000000;font-size: 10pt;">Hey Haiteng,<br>
        <br>
        Is your contrast based on absolute signal frequency power? If
        so, did you check for any systematic differences in headposition
        (and especially in terms of distance to the sensors - the
        z-dimension) across the groups? I presume such a systematic
        difference could yield different results at the sensor- and
        source-level, but there are probably also other possibilities
        out there.<br>
        <br>
        Yours,<br>
        Arjen<br>
        <div><br>
          <div style="font-family:Tahoma; font-size:13px">
            <div style="font-family:Tahoma; font-size:13px">--<br>
              Donders Institute for Brain, Cognition and Behaviour<br>
              Centre for Cognitive Neuroimaging<br>
              Radboud University Nijmegen<br>
              <br>
              Email:  <a moz-do-not-send="true"
                href="mailto:a.stolk@donders.ru.nl" target="_blank">a.stolk@donders.ru.nl</a><br>
              Phone:  +31(0)243 68294<br>
              Web:    <a moz-do-not-send="true"
                href="http://www.arjenstolk.nl" target="_blank">www.arjenstolk.nl</a></div>
          </div>
        </div>
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          <hr tabindex="-1">
          <div style="direction: ltr;" id="divRpF292681"><font
              color="#000000" face="Tahoma" size="2"><b>From:</b>
              <a class="moz-txt-link-abbreviated" href="mailto:fieldtrip-bounces@science.ru.nl">fieldtrip-bounces@science.ru.nl</a>
              [<a class="moz-txt-link-abbreviated" href="mailto:fieldtrip-bounces@science.ru.nl">fieldtrip-bounces@science.ru.nl</a>] on behalf of Haiteng
              Jiang [<a class="moz-txt-link-abbreviated" href="mailto:haiteng.jiang@gmail.com">haiteng.jiang@gmail.com</a>]<br>
              <b>Sent:</b> Monday, January 05, 2015 3:23 PM<br>
              <b>To:</b> <a class="moz-txt-link-abbreviated" href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
              <b>Subject:</b> [FieldTrip] Opposite DICS Beamforming
              results on source and sensor level on resting state data<br>
            </font><br>
          </div>
          <div>
            <div dir="ltr">Hi  all,
              <div><br>
              </div>
              <div>   I performed DICS beamforming on resting-state data
                ( eyes closed) of a clinical population and controls.
                According to the sensor data,  the control groups have
                more alpha-band (8-14
                <div>Hz) activity over occipital  areas  after cluster
                  statistic (attached figure  upper plot) . Curiously,
                  after beamforming ,  group comparisons showed the
                  reversed patters in visual cortex (attached figure
                   bottom plot) .Hence, the source-level results are
                  opposite to the sensor-level results. This is *not* a
                  problem of the design matrix, or confusing the
                  groups.  I check  the individual neural  activity
                  index on the single subject level .   They  make sense
                  in general .  I also tune the parameter a lot (tapper,
                  central frequency smooth frequency , regularization
                   parameter , et al ), the  opposite pattern remains. 
                  I  understand that Beamformer images DO NOT DIRECTLY
                  CORRESPOND TO ANY sensor data.   However, the opposite
                  pattern is really weird.  I noticed that  Tobias
                  Navarro Schröder had the similar issue 4 years ago (<a
                    moz-do-not-send="true"
href="http://mailman.science.ru.nl/pipermail/fieldtrip/2011-May/003875.html"
                    target="_blank">http://mailman.science.ru.nl/pipermail/fieldtrip/2011-May/003875.html</a>). 
                  Thus,  I am not the only one who encountered this
                  problem.</div>
                <div>  </div>
                <div>   Any tips and suggestions will be greatly
                  appreciated.  Thanks in advance!</div>
                <div>      <img
                    src="cid:part4.03040009.05060203@fcdonders.ru.nl"
                    height="562" width="537"><br>
                </div>
                <div><br>
                </div>
                <div><br>
                </div>
                <div>                                                   
                          Best,</div>
                <div>                                                   
                          Hatieng</div>
                <div>                                                   </div>
                <div>                                                   
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                  <div><br>
                  </div>
                  -- <br>
                  <div class="gmail_signature">
                    <div dir="ltr">
                      <div>
                        <div>Haiteng Jiang </div>
                        <div>PhD candidate</div>
                        <div>Donders Institute for Brain, Cognition and
                          Behaviour</div>
                        <div>Neuronal Oscillations Group </div>
                        <div>Computational Cognitive Neuroscience Lab</div>
                      </div>
                      <div><font face="arial, helvetica, sans-serif"><a
                            moz-do-not-send="true"
                            href="https://sites.google.com/site/haitengjiang/"
                            target="_blank">https://sites.google.com/site/haitengjiang/</a></font></div>
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      <pre wrap="">_______________________________________________
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