<div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr">Hi Ravi,<div><br></div><div>assuming that you work under Linux and you have already the DTI data registered to MRI, you need then to run the below script.</div><div><br></div><div><div><b>%%1, calculate conductivity tensor for every voxel</b></div><div>% mri_segmented_final, V1, ... L1 variables have ft MRI structure</div><div><br></div><div>                       %skin,skull compacta, skull spongiosa, CSF, GM, WM</div><div>conductivity = [0.4300,    0.0024,    0.0086,    1.7900,    0.3300,    0.1400];<br></div><div>cfg =[];</div><div>cfg.compartments = mri_segmented_final.anatomylabel; % anatomical labels, skin: 0, skull spongiosa 2 and show on...</div><div>cfg.conductivity = conductivity;</div></div><div>[condcell, s, fail] = sb_calcTensorCond_tuch(cfg,mri_segmented_final,V1,V2,V3,L1,L2,L3); </div><div><br></div><div><b>%% 2. assign the conductivity tensor with the hex mesh </b></div><div>[mesh.nodes,mesh.elements,mesh.labels]= read_vista_mesh('foo_mesh.v);<br></div><div><br></div><div><div>mask = mri_segmented_final;</div><div>mask.anatomy((mask.anatomy~=5) & (mask.anatomy~=6))=0;<br></div><div>mask.anatomy((mask.anatomy==5) | (mask.anatomy==6))=1;</div></div><div><br></div><div>tensors = sb_assiTensorCond(mask,mesh.nodes,mesh.elements,mesh.labels,condcell);<br></div><div>write_vista_mesh('foo_mesh_aniso.v',mesh.nodes,mesh.elements,mesh.labels,tensors');<br></div><div><br></div><div>Do not hesitate to ask further questions.</div><div><i><br></i></div><div><i>*Note that write_vista_mesh and read_vista_mesh are private ft functions.</i></div><div><br></div><div>Best regards,</div><div>  Marios</div></div></div></div></div></div></div></div></div></div><div hspace="streak-pt-mark" style="max-height:1px"><img alt="" style="width:0px;max-height:0px;overflow:hidden" src="https://mailfoogae.appspot.com/t?sender=aYW50b25ha2FraXNtYXJAZ21haWwuY29t&type=zerocontent&guid=420ef8db-499e-48d0-b63b-37a4d6551822"><font color="#ffffff" size="1">ᐧ</font></div><br><div class="gmail_quote"><div dir="ltr">Στις Τρί, 6 Νοε 2018 στις 12:10 μ.μ., ο/η Carsten Wolters <<a href="mailto:carsten.wolters@uni-muenster.de" target="_blank">carsten.wolters@uni-muenster.de</a>> έγραψε:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
  
    
  
  <div text="#000000" bgcolor="#FFFFFF">
    <div class="m_2095508063422949630m_7826587823948522297moz-cite-prefix">Hi Ravi,<br>
      <br>
      Marios (in CC) promised to send you the short Matlab-script that
      we use to transform the diffusion tensors <br>
      to conductivity tensors using Tuch's effective medium approach. <br>
      <br>
      For this approach, please check e.g. the subsection<br>
      "Calibrated Finite Element Head Model and Forward Solution"<br>
      in<br>
      <a class="m_2095508063422949630m_7826587823948522297moz-txt-link-freetext" href="https://link.springer.com/article/10.1007/s10548-017-0568-9" target="_blank">https://link.springer.com/article/10.1007/s10548-017-0568-9</a><br>
      <br>
      BR<br>
         Carsten<br>
      <br>
      Am 05.11.18 um 18:26 schrieb Ravi Mill:<br>
    </div>
    <blockquote type="cite">
      
      
      <div id="m_2095508063422949630m_7826587823948522297divtagdefaultwrapper" style="font-size:12pt;color:#000000;font-family:Calibri,Helvetica,sans-serif" dir="ltr">
        <div id="m_2095508063422949630m_7826587823948522297divtagdefaultwrapper" dir="ltr">
          <p style="margin-top:0;margin-bottom:0">Hi Carsten and
            Johannes</p>
          <p style="margin-top:0;margin-bottom:0"><br>
          </p>
          <p style="margin-top:0;margin-bottom:0">Many thanks for
            responding, and for developing these great tools!</p>
          <p style="margin-top:0;margin-bottom:0"><br>
          </p>
          <p style="margin-top:0;margin-bottom:0">I'm in the process of
            acquiring a large diffusion MR dataset from which I can
            hopefully create an 'averaged' atlas. From your responses I
            think I have a sense of how to integrate the conductivity
            tensors derived from this atlas with the Fieldtrip FEM
            pipeline.</p>
          <p style="margin-top:0;margin-bottom:0"><br>
          </p>
          <p style="margin-top:0;margin-bottom:0">But I was wondering
            if you had any advice on how to compute these conductivity
            tensors in the first place? From the paper that Carsten
            sent, It seems like the FDT program within FSL<span> is what
              I need to compute diffusion tensors from the raw diffusion
              images (steps 1-6 from the FDT user guide <a href="https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FDT/UserGuide#Processing_pipeline" class="m_2095508063422949630m_7826587823948522297OWAAutoLink" id="m_2095508063422949630m_7826587823948522297LPlnk529292" target="_blank">https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FDT/UserGuide#Processing_pipeline</a>)?
              Seemingly, these diffusion tensors need to then be
              converted to conductivity tensors - any advice on how to
              do this (or if you could point me to some example code)
              would be greatly appreciated. </span></p>
          <p style="margin-top:0;margin-bottom:0"><br>
          </p>
          <p style="margin-top:0;margin-bottom:0">Thanks</p>
          <p style="margin-top:0;margin-bottom:0">Ravi</p>
          <p style="margin-top:0;margin-bottom:0"><br>
            <span></span></p>
          <div id="m_2095508063422949630m_7826587823948522297LPBorder_GT_15414382644970.723514946411248" style="margin-bottom:20px;overflow:auto;width:100%;text-indent:0px">
            <table id="m_2095508063422949630m_7826587823948522297LPContainer_15414382644950.9956431036316657" style="width:90%;background-color:rgb(255,255,255);overflow:auto;padding-top:20px;padding-bottom:20px;margin-top:20px;border-top:1px dotted rgb(200,200,200);border-bottom:1px dotted rgb(200,200,200)" cellspacing="0">
              <tbody>
                <tr style="border-spacing:0px" valign="top">
                  <td id="m_2095508063422949630m_7826587823948522297TextCell_15414382644960.2368991619600882" colspan="2" style="vertical-align:top;padding:0px;display:table-cell">
                    <div id="m_2095508063422949630m_7826587823948522297LPTitle_15414382644960.9727288617408392" style="color:rgb(0,120,215);font-weight:400;font-size:21px;font-family:wf_segoe-ui_light,"Segoe UI Light","Segoe WP Light","Segoe UI","Segoe WP",Tahoma,Arial,sans-serif;line-height:21px">
                      <a id="m_2095508063422949630m_7826587823948522297LPUrlAnchor_15414382644960.5199188323612385" href="https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FDT/UserGuide#Processing_pipeline" style="text-decoration:none" target="_blank">FDT/UserGuide - FslWiki -
                        University of Oxford</a></div>
                    <div id="m_2095508063422949630m_7826587823948522297LPMetadata_15414382644970.535012123375781" style="margin:10px 0px 16px;color:rgb(102,102,102);font-weight:400;font-family:wf_segoe-ui_normal,"Segoe UI","Segoe WP",Tahoma,Arial,sans-serif;font-size:14px;line-height:14px">
                      <a href="http://fsl.fmrib.ox.ac.uk" target="_blank">fsl.fmrib.ox.ac.uk</a></div>
                    <div id="m_2095508063422949630m_7826587823948522297LPDescription_15414382644970.856036196272252" style="display:block;color:rgb(102,102,102);font-weight:400;font-family:wf_segoe-ui_normal,"Segoe UI","Segoe WP",Tahoma,Arial,sans-serif;font-size:14px;line-height:20px;max-height:100px;overflow:hidden">
                      Eddy Current Correction. Eddy currents in the
                      gradient coils induce (approximate) stretches and
                      shears in the diffusion weighted images. These
                      distortions are different for different gradient
                      directions.</div>
                  </td>
                </tr>
              </tbody>
            </table>
          </div>
          <br>
          <p style="margin-top:0;margin-bottom:0"><span><br>
            </span></p>
          <p style="margin-top:0;margin-bottom:0"><span>Thanks again<br>
              Ravi</span></p>
          <p style="margin-top:0;margin-bottom:0"><span><br>
            </span></p>
        </div>
        <hr style="display:inline-block;width:98%">
        <div id="m_2095508063422949630m_7826587823948522297divRplyFwdMsg" dir="ltr"><font style="font-size:11pt" face="Calibri, sans-serif" color="#000000"><b>From:</b>
            fieldtrip <a class="m_2095508063422949630m_7826587823948522297moz-txt-link-rfc2396E" href="mailto:fieldtrip-bounces@science.ru.nl" target="_blank"><fieldtrip-bounces@science.ru.nl></a> on behalf
            of Johannes Vorwerk <a class="m_2095508063422949630m_7826587823948522297moz-txt-link-rfc2396E" href="mailto:j.vorw01@gmail.com" target="_blank"><j.vorw01@gmail.com></a><br>
            <b>Sent:</b> Monday, October 29, 2018 10:14:16 AM<br>
            <b>To:</b> FieldTrip discussion list<br>
            <b>Subject:</b> Re: [FieldTrip] Incorporating White Matter
            conductivity anisotropy into FEM simbio</font>
          <div> </div>
        </div>
        
        <div style="word-wrap:break-word">Dear Ravi,
          <div><br>
          </div>
          <div>as Carsten already said, calculating FEM with
            anisotropic conductivities is not directly supported by the
            FieldTrip-SimBio implementation. However, if you are willing
            to invest a bit of time it is possible to work around this.</div>
          <div><br>
          </div>
          <div>The „only“ thing that needs to be changed is the
            calculation of the FEM stiffness matrix, which is performed
            by the routine „calc_stiffness_matrix_val“ in the function
            sb_calc_stiff (usually called from ft_prepare_headmodel).
            The problem is that FieldTrip does not support anisotropic
            conductivities, so that you would have to call
            calc_stiffness_matrix_val directly. You can see the correct
            call in sb_calc_stiff. For anisotropic conductivities you
            have to replace the input „cond“ by a #elements x 6 matrix
            containing your anisotropic conductivities in the format "xx
            yy zz xy yz zx“. If you now follow the normal
            FieldTrip-SimBio workflow using the resulting stiffness
            matrix, you will get results for anisotropic conductivities.</div>
          <div><br>
          </div>
          <div>Best,</div>
          <div><span class="m_2095508063422949630m_7826587823948522297x_Apple-tab-span" style="white-space:pre-wrap"></span>Johannes</div>
          <div><br>
          </div>
          <div>
            <blockquote type="cite">
              <div>Am 29.10.2018 um 12:31 schrieb Carsten
                Wolters <<a href="mailto:carsten.wolters@uni-muenster.de" class="m_2095508063422949630m_7826587823948522297OWAAutoLink" id="m_2095508063422949630m_7826587823948522297LPlnk144193" target="_blank">carsten.wolters@uni-muenster.de</a>>:</div>
              <br class="m_2095508063422949630m_7826587823948522297x_Apple-interchange-newline">
              <div>
                <div class="m_2095508063422949630m_7826587823948522297x_moz-cite-prefix" style="font-family:Helvetica;font-size:12px;font-style:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255)">
                  Dear Ravi,<br>
                  <br>
                  1) You can use the pure SimBio-code from<span class="m_2095508063422949630m_7826587823948522297x_Apple-converted-space"> </span><br>
                  <a class="m_2095508063422949630m_7826587823948522297x_moz-txt-link-freetext m_2095508063422949630m_7826587823948522297OWAAutoLink" href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mrt.uni-jena.de%2Fsimbio%2Findex.php%2FMain_Page&data=02%7C01%7Crdm146%40newark.rutgers.edu%7Cfd39adb746104deddfa808d63da91b81%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C636764193863059067&sdata=cFED89%2BXMUfro9URWv5pWzGC5SnzTqEHT%2FmXd%2F2eB8Q%3D&reserved=0" id="m_2095508063422949630m_7826587823948522297LPlnk649518" target="_blank">https://www.mrt.uni-jena.de/simbio/index.php/Main_Page</a><br>
                  to treat WM anisotropy.<br>
                  While it would in principle also be possible to use
                  anisotropic conductivities with FieldTrip-SimBio,<span class="m_2095508063422949630m_7826587823948522297x_Apple-converted-space"> </span><br>
                  this is currently not implemented using
                  ft_prepare_headmodel. Johannes (in CC), who
                  implemented<span class="m_2095508063422949630m_7826587823948522297x_Apple-converted-space"> </span><br>
                  Fieldtrip-SimBio, answered a same question by Junjie
                  Wu in March 2018:<span class="m_2095508063422949630m_7826587823948522297x_Apple-converted-space"> </span><br>
                  "Depending on your matlab skills and your available
                  time, I could help you to give it a<span class="m_2095508063422949630m_7826587823948522297x_Apple-converted-space"> </span><br>
                  try though. It should be possible with using some
                  direct function calls instead of the high-level
                  fieldtrip-functions."<br>
                  <br>
                  2) We recommend<span class="m_2095508063422949630m_7826587823948522297x_Apple-converted-space"> </span><br>
                  <a class="m_2095508063422949630m_7826587823948522297x_moz-txt-link-freetext m_2095508063422949630m_7826587823948522297OWAAutoLink" href="https://na01.safelinks.protection.outlook.com/?url=http:%2F%2Fwww.sci.utah.edu%2F~wolters%2FPaperWolters%2F2012%2FRuthottoEtAl_PhysMedBiol_2012.pdf&data=02%7C01%7Crdm146%40newark.rutgers.edu%7Cfd39adb746104deddfa808d63da91b81%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C636764193863069076&sdata=tYM5Oabmkx3Gr4R0I1Wqauly3lVENtp1H%2Fnebvcl0pw%3D&reserved=0" id="m_2095508063422949630m_7826587823948522297LPlnk912676" target="_blank">http://www.sci.utah.edu/~wolters/PaperWolters/2012/RuthottoEtAl_PhysMedBiol_2012.pdf</a><br>
                  on individual data. I could imagine that an atlas does
                  a reasonable job w.r.t. the main<br>
                  bigger fiber tracts such as corpus callosum or
                  pyramidal tracts, but that the finer details<br>
                  in the cortices are individual. We always measure T1,
                  T2 and DTI from each subject<br>
                  and I personally do not have experience with such a
                  group-level anisotropy compared<span class="m_2095508063422949630m_7826587823948522297x_Apple-converted-space"> </span><br>
                  to the individual one. Might be interesting to hear
                  from others what they think!?<br>
                  <br>
                  BR<br>
                     Carsten<br>
                  <br>
                  <br>
                  <br>
                  Am 25.10.18 um 23:05 schrieb Ravi Mill:<br>
                </div>
                <blockquote type="cite" style="font-family:Helvetica;font-size:12px;font-style:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255)">
                  <div id="m_2095508063422949630m_7826587823948522297x_divtagdefaultwrapper" dir="ltr">
                    <div style="margin-top:0px;margin-bottom:0px">Dear Fieldtrippers</div>
                    <div style="margin-top:0px;margin-bottom:0px"><br>
                    </div>
                    <div style="margin-top:0px;margin-bottom:0px">I have applied the FEM simbio
                      head modeling pipeline implemented in Fieldtrip to
                      my EEG data. <span>My understanding is
                        that this pipeline assumes isotropic
                        conductivities for 5 head compartments (as
                        specified by cfg.conductivity in
                        ft_prepare_headmodel). </span>After reading some
                      papers (e.g. Vorwerk et al 2014 <a href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1016%2Fj.neuroimage.2014.06.040&data=02%7C01%7Crdm146%40newark.rutgers.edu%7Cfd39adb746104deddfa808d63da91b81%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C636764193863069076&sdata=GbsiChTzmUZMEBsH1k44etRdVJUcUQ6SskLJtnzkbSk%3D&reserved=0" class="m_2095508063422949630m_7826587823948522297x_OWAAutoLink" id="m_2095508063422949630m_7826587823948522297LPlnk216235" target="_blank">https://doi.org/10.1016/j.neuroimage.2014.06.040</a>),
                      it seems like incorporating white matter
                      conductivity anisotropy has a relatively small
                      albeit significant effect on the source solution.
                      I am interested in comparing FEM results when
                      treating white matter as anisotropic. <span style="font-size:12pt">My questions are
                        as follows:</span></div>
                    <div style="margin-top:0px;margin-bottom:0px"><span style="font-size:12pt"><br>
                      </span></div>
                    <ol style="margin-bottom:0px;margin-top:0px">
                      <li>Is there a way to implement the FEM
                        simbio head model whilst treating WM as
                        anisotropic within Fieldtrip? If so, how would
                        one do this (or are there any resources
                        available that demonstrate this)?</li>
                      <li>From previous papers and some simbio
                        documentation (<a href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mrt.uni-jena.de%2Fsimbio%2Findex.php%2FSIMBIO%2FReleasenotes%2FExamples&data=02%7C01%7Crdm146%40newark.rutgers.edu%7Cfd39adb746104deddfa808d63da91b81%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C636764193863079077&sdata=LLPhLC8V85SmMAJbnV%2F15%2Bcs366ek6FQbx81p25mwqA%3D&reserved=0" class="m_2095508063422949630m_7826587823948522297x_OWAAutoLink" id="m_2095508063422949630m_7826587823948522297LPlnk493580" target="_blank">https://www.mrt.uni-jena.de/simbio/index.php/SIMBIO/Releasenotes/Examples</a>)
                        it seems like diffusion MRI data is required to
                        calculate the WM conductivity for each
                        individual subject. I only have T1 and T2 scans
                        for my subjects. So would it be possible to use
                        WM anisotropic information obtained from some
                        kind of diffusion MRI group average/atlas
                        instead (accepting some loss in
                        subject-level precision)? If so, does such a
                        group average/atlas exist?</li>
                    </ol>
                    <br>
                    <div style="margin-top:0px;margin-bottom:0px">Any help would be greatly
                      appreciated!</div>
                    <div style="margin-top:0px;margin-bottom:0px"><br>
                    </div>
                    <div style="margin-top:0px;margin-bottom:0px">Thanks</div>
                    <div style="margin-top:0px;margin-bottom:0px">Ravi</div>
                    <br>
                    <p style="margin-top:0px;margin-bottom:0px"><span style="font-size:12pt"></span></p>
                    <div>        </div>
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                  <br>
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                  <pre class="m_2095508063422949630m_7826587823948522297x_moz-quote-pre">_______________________________________________
fieldtrip mailing list
<a class="m_2095508063422949630m_7826587823948522297x_moz-txt-link-freetext m_2095508063422949630m_7826587823948522297OWAAutoLink" href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmailman.science.ru.nl%2Fmailman%2Flistinfo%2Ffieldtrip&data=02%7C01%7Crdm146%40newark.rutgers.edu%7Cfd39adb746104deddfa808d63da91b81%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C636764193863089093&sdata=M3y4f%2BGg7MpJXOr%2FF8DC9cTM0dUb2wS9hRyyEffxuRw%3D&reserved=0" id="m_2095508063422949630m_7826587823948522297LPlnk502253" target="_blank">https://mailman.science.ru.nl/mailman/listinfo/fieldtrip</a>
<a class="m_2095508063422949630m_7826587823948522297x_moz-txt-link-freetext m_2095508063422949630m_7826587823948522297OWAAutoLink" href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1371%2Fjournal.pcbi.1002202&data=02%7C01%7Crdm146%40newark.rutgers.edu%7Cfd39adb746104deddfa808d63da91b81%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C636764193863089093&sdata=1nMk28PGgmZtyX1M5Rl2wDkhBMv2vSXknpWYm0TGX9w%3D&reserved=0" id="m_2095508063422949630m_7826587823948522297LPlnk23908" target="_blank">https://doi.org/10.1371/journal.pcbi.1002202</a>
</pre>
                </blockquote>
                <br style="font-family:Helvetica;font-size:12px;font-style:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255)">
                <br style="font-family:Helvetica;font-size:12px;font-style:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255)">
                <pre class="m_2095508063422949630m_7826587823948522297x_moz-signature" cols="72" style="font-size:12px;font-style:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;word-spacing:0px;background-color:rgb(255,255,255)">-- 
Prof. Dr.rer.nat. Carsten H. Wolters
University of Münster
Institute for Biomagnetism and Biosignalanalysis
Malmedyweg 15
48149 Münster, Germany

Phone: 
+49 (0)251 83 56904
+49 (0)251 83 56865 (secr.)

Fax: 
+49 (0)251 83 56874

Email: <a class="m_2095508063422949630m_7826587823948522297x_moz-txt-link-abbreviated m_2095508063422949630m_7826587823948522297OWAAutoLink" href="mailto:carsten.wolters@uni-muenster.de" id="m_2095508063422949630m_7826587823948522297LPlnk155336" target="_blank">carsten.wolters@uni-muenster.de</a>
Web: <a class="m_2095508063422949630m_7826587823948522297x_moz-txt-link-freetext m_2095508063422949630m_7826587823948522297OWAAutoLink" href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcampus.uni-muenster.de%2Fbiomag%2Fdas-institut%2Fmitarbeiter%2Fcarsten-wolters%2F&data=02%7C01%7Crdm146%40newark.rutgers.edu%7Cfd39adb746104deddfa808d63da91b81%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C636764193863099102&sdata=Xuoiy%2FV4Vfti4QM2bSxaitn%2FxnJeG3vG8UaWnd5XMXI%3D&reserved=0" id="m_2095508063422949630m_7826587823948522297LPlnk782212" target="_blank">https://campus.uni-muenster.de/biomag/das-institut/mitarbeiter/carsten-wolters/</a></pre>
              </div>
            </blockquote>
          </div>
          <br>
        </div>
      </div>
      <br>
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      <pre class="m_2095508063422949630m_7826587823948522297moz-quote-pre">_______________________________________________
fieldtrip mailing list
<a class="m_2095508063422949630m_7826587823948522297moz-txt-link-freetext" href="https://mailman.science.ru.nl/mailman/listinfo/fieldtrip" target="_blank">https://mailman.science.ru.nl/mailman/listinfo/fieldtrip</a>
<a class="m_2095508063422949630m_7826587823948522297moz-txt-link-freetext" href="https://doi.org/10.1371/journal.pcbi.1002202" target="_blank">https://doi.org/10.1371/journal.pcbi.1002202</a>
</pre>
    </blockquote>
    <br>
    <br>
    <pre class="m_2095508063422949630m_7826587823948522297moz-signature" cols="72">-- 
Prof. Dr.rer.nat. Carsten H. Wolters
University of Münster
Institute for Biomagnetism and Biosignalanalysis
Malmedyweg 15
48149 Münster, Germany

Phone: 
+49 (0)251 83 56904
+49 (0)251 83 56865 (secr.)

Fax: 
+49 (0)251 83 56874

Email: <a class="m_2095508063422949630m_7826587823948522297moz-txt-link-abbreviated" href="mailto:carsten.wolters@uni-muenster.de" target="_blank">carsten.wolters@uni-muenster.de</a>
Web: <a class="m_2095508063422949630m_7826587823948522297moz-txt-link-freetext" href="https://campus.uni-muenster.de/biomag/das-institut/mitarbeiter/carsten-wolters/" target="_blank">https://campus.uni-muenster.de/biomag/das-institut/mitarbeiter/carsten-wolters/</a></pre>
  </div>

</blockquote></div>