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<meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Dear Neeraj,<div class=""><br class=""></div><div class="">in addition to Jan-Mathijs’ suggestions you should consider the following:</div><div class=""><br class=""></div><div class="">Compute the head model suited for EEG analysis. Type ‘EEG head model’ in the search field and browse thru the links that will pop up. Once you have your head model you could compute source model in accordance with some brain atlas. </div><div class="">An example is provided here: <a href="http://www.fieldtriptoolbox.org/tutorial/salzburg/" class="">http://www.fieldtriptoolbox.org/tutorial/salzburg/</a></div><div class="">In particular, the section <a href="http://www.fieldtriptoolbox.org/tutorial/salzburg/#localizing-auditory-evoked-fields-using-beamforming-techniques-in-parceled-brain-space" class="">http://www.fieldtriptoolbox.org/tutorial/salzburg/#localizing-auditory-evoked-fields-using-beamforming-techniques-in-parceled-brain-space</a></div><div class="">gives you an idea how to approach this. </div><div class=""><div><blockquote type="cite" class=""><div dir="ltr" class=""><div dir="ltr" class=""><div dir="ltr" class=""><div dir="ltr" class=""><div class=""><br class=""></div><div class="">My final goal is to perform 'ft_connectivityanalysis(cfg, data)', where 'data' contains time series of all parcellated roi. It would be very helpful if you can help me with that.</div></div></div></div></div></blockquote><div><br class=""></div>Example of your final goal is illustrated here: <a href="http://www.fieldtriptoolbox.org/tutorial/salzburg/#connectivity-analysis" class="">http://www.fieldtriptoolbox.org/tutorial/salzburg/#connectivity-analysis</a> using only 3 brain parcels. Yet, once you understand the pipeline you can easily extend to your preferred number of parcels. </div><div><br class=""></div><div>Good luck</div><div>Tzvetan</div><div><br class=""></div><div><blockquote type="cite" class=""><div dir="ltr" class=""><div dir="ltr" class=""><div dir="ltr" class=""><div dir="ltr" class=""><div class=""><br class=""></div><div class="">Thank you</div><div class="">Neeraj</div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div></div></div></div></div><br class=""><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sun, 24 Feb 2019 at 01:27, Schoffelen, J.M. (Jan Mathijs) <<a href="mailto:jan.schoffelen@donders.ru.nl" class="">jan.schoffelen@donders.ru.nl</a>> wrote:<br class=""></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
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Could you be a bit more specific in your question? Right now, based on the quality of your question, it seems as if you haven’t spent much time searching the documentation yourself. For instance, <a href="http://www.fieldtriptoolbox.org/tutorial/networkanalysis/" target="_blank" class="">http://www.fieldtriptoolbox.org/tutorial/networkanalysis/</a> would
already give you some directions how to ‘parcellate’ your source level data. Also, if you look for ‘ft_sourceparcellate’ you’ll probably be able to sort out how to do it.
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<div class="">Jan-Mathijs</div>
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<div class="">On 22 Feb 2019, at 14:51, Neeraj kumar <<a href="mailto:neeraj750kumar@gmail.com" target="_blank" class="">neeraj750kumar@gmail.com</a>> wrote:</div>
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<div dir="ltr" class="">Dear Schoffelen,
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<div class="">Thank you for your answer. But I'm still confused about how to get parcellated source time series in fieldtrip. I have 1sec time series for around 6000 grids.</div>
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<div class="">Neeraj</div>
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<div dir="ltr" class="gmail_attr">On Fri, 22 Feb 2019 at 17:46, Schoffelen, J.M. (Jan Mathijs) <<a href="mailto:jan.schoffelen@donders.ru.nl" target="_blank" class="">jan.schoffelen@donders.ru.nl</a>> wrote:<br class="">
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<div class="">I want to parcellate the reconstructed source time series (~ 1000ms). </div>
<div class="">I have moments in source.avg.mom for around 6000 grids. </div>
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<div class="">Additionally, do I need to perform some normalization on time series before or after parcellation to perform network analysis? </div>
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<div class="">Well, at least you should compute a metric between pairs of time series that can be subjected to a network analysis. Whether or not this needs ‘some normalization’ depends on what you exactly want to achieve.</div>
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<div class="">Best wishes,</div>
<div class="">Jan-Mathijs</div>
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<div style="letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;word-wrap:break-word" class="">
J.M.Schoffelen, MD PhD<br class="">
Senior Researcher, VIDI-fellow - PI, language in interaction<br class="">
Telephone: +31-24-3614793</div>
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