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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/" 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="">On 22 Feb 2019, at 14:51, Neeraj kumar <<a href="mailto:neeraj750kumar@gmail.com" 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 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" 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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Physical location: room 00.028</div>
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Donders Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands<br class="">
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