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Hi all,<o:p> </o:p></p>
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I am analyzing an MEG dataset in which I only have access to source-level data. I ran cluster-based permutation tests on the data with pre-defined ROI-s but I was wondering if it would make sense not to pre-define ROI-s but search for spatial clusters with
a cluster-based permutation test. I’m not familiar enough with MEG, so I can’t decide if the features of source-level data would allow me to run the cluster analysis the same way described here for sensor-level data<span style="background-color:rgb(255, 255, 255);display:inline !important">: </span><a href="https://www.fieldtriptoolbox.org/tutorial/cluster_permutation_freq/">https://www.fieldtriptoolbox.org/tutorial/cluster_permutation_freq/</a>.<o:p> </o:p></p>
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Would cluster-based permutation test work as well with source-level data as with sensor-level data? If so, what kind of layout file should I use? Positions of sensors/electrodes can be defined with two coordinates but sources can be only defined with three
coordinates.<o:p> </o:p></p>
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Thanks so much in advance for any advice!<o:p> </o:p></p>
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<o:p> </o:p></p>
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Best,<o:p> </o:p></p>
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<o:p> </o:p></p>
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Eniko<o:p> </o:p></p>
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<p style="margin-top: 0px; margin-bottom: 0px;margin-top:0; margin-bottom:0"><span style="color:rgb(117,123,128)">*********************</span></p>
<p style="margin-top: 0px; margin-bottom: 0px;margin-top:0; margin-bottom:0"><span style="font-size:12pt">Eniko Ladanyi, Ph.D.<span style="color:rgb(114,50,173)"></span></span></p>
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<span style="font-size:8pt">Postdoctoral Fellow</span></p>
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<span style="font-size:8pt">Vanderbilt University Medical Center</span></p>
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<span style="font-size:8pt">Music Cognition Lab</span></p>
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<span style="font-size:8pt"><a href="https://enikoladanyi.com/" class="OWAAutoLink">https://enikoladanyi.com/</a><br>
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