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Hi Vera,
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<div class="">To reiterate: if there are no markers in the data that instructed the subject to actually execute (or imagine) a transient movement, the only thing you can do, is to cut the data into the 5 individual conditions, yielding about 1 minute of data
per condition. Then, you could compute the power spectrum for each of those conditions separately, and subsequently compare across conditions. A powerspectrum can be computed in a variety of ways, one of which is to use </div>
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<div class="">1) ft_redefinetrial with cfg.length = 1; to cut the data of each of the conditions into 1 second snippets</div>
<div class="">2) ft_freqanalysis on the output of the previous step, using cfg.method = ‘mtmfft’ to obtain a power spectrum for each subject, electrode and condition.</div>
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<div class="">Good luck,</div>
<div class="">Jan-Mathijs</div>
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<div class="">On 8 Mar 2021, at 12:06, Vera Gramigna <<a href="mailto:veragramigna@gmail.com" class="">veragramigna@gmail.com</a>> wrote:</div>
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<div dir="ltr" class="">Thanks a lot.
<div class="">Within each motor execution condition, the subject performed several times the movements of indicated hands but the events are not time-locked.</div>
<div class="">During the motor imagination conditions, the subject imagined the movement of indicated hands for 1 minute.</div>
<div class="">I'm looking for a way to differentiate the 5 conditions in terms of mu rhythms.</div>
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<div dir="ltr" class="gmail_attr">Il giorno lun 8 mar 2021 alle ore 11:44 Schoffelen, J.M. (Jan Mathijs) <<a href="mailto:jan.schoffelen@donders.ru.nl" class="">jan.schoffelen@donders.ru.nl</a>> ha scritto:<br class="">
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<div style="overflow-wrap: break-word;" class="">Hi Vera,
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<div class="">In your experimental setup there is no repetition of events, time-locked to which it makes sense to compute TFRs. I would expect that your scientific question does not assume that there is a fine-grained modulation of the mu rhythm over time
within the individual conditions that you sketched in your earlier e-mail. Therefore, you might consider integrate across as much time as possible, i.e. the 1 minute per condition of interest.</div>
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<div class="">Best wishes,</div>
<div class="">Jan-Mathijs</div>
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<div class="">On 8 Mar 2021, at 10:50, Vera Gramigna <<a href="mailto:veragramigna@gmail.com" target="_blank" class="">veragramigna@gmail.com</a>> wrote:</div>
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<div dir="ltr" class="">Thanks a lot for suggestions.
<div class="">The procedure to evaluate time-frequency response in <a href="https://www.fieldtriptoolbox.org/workshop/oslo2019/timefrequency/" target="_blank" class="">
https://www.fieldtriptoolbox.org/workshop/oslo2019/timefrequency/</a>, is not indicated for a long duration acquisition?<br class="">
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<div class="">Thanks a lot</div>
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<div dir="ltr" class="gmail_attr">Il giorno lun 8 mar 2021 alle ore 09:44 Schoffelen, J.M. (Jan Mathijs) <<a href="mailto:jan.schoffelen@donders.ru.nl" target="_blank" class="">jan.schoffelen@donders.ru.nl</a>> ha scritto:<br class="">
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<div class="">Dear Vera,
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<div class="">Perhaps you might find it helpful to start reading the following:</div>
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<div class=""><a href="https://www.fieldtriptoolbox.org/walkthrough/" target="_blank" class="">https://www.fieldtriptoolbox.org/walkthrough/</a></div>
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<div class="">This is a basic explanation of experimental data analysis works in general, focussing on how it’s done in Fieldtrip.</div>
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<div class="">Also, you could have a look at:</div>
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<div class=""><a href="https://www.fieldtriptoolbox.org/tutorial/coherence/" target="_blank" class="">https://www.fieldtriptoolbox.org/tutorial/coherence/</a></div>
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<div class="">Which explains how to extract a neural metric (in this case: coherence) from an experimental set up that is similar to yours. Obviously, you’d need to abstract away quite a bit from this tutorial but it might contain some useful pointers.</div>
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<div class="">Good luck,</div>
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<div class="">Jan-Mathijs</div>
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<div class="">On 6 Mar 2021, at 17:29, Vera Gramigna <<a href="mailto:veragramigna@gmail.com" target="_blank" class="">veragramigna@gmail.com</a>> wrote:</div>
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<div class="">Hello,</div>
<div class="">I have some EEG EPOC+/Flex acquisitions that are organized as follows:</div>
<div class="">- 1 min rest->1 min ME RH->1 min ME LH->1 min MI RH->1 min MI LH, considering for ME motor execution and for MI motor imagination.</div>
<div class="">The total duration of acquisition is 5 minutes. During the condition of motor execution and imagination the subject performed or imagined the related movement for 1 minute.</div>
<div class="">I need to evaluate the differences in mu rhythm between the five conditions.</div>
<div class="">Any suggestions on how to perform the analysis?</div>
<div class="">Thanks</div>
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