<div dir="ltr"><div><div><span style="font-family:arial,helvetica,sans-serif">Hello everybody,<br><br></span></div><span style="font-family:arial,helvetica,sans-serif">I would like to use the  ft_regressconfound function to remove/reduce the head motion in a continuous MEG data.<br>
</span></div><span style="font-family:arial,helvetica,sans-serif">It's a resting state data and no averaging can be applied. Is there a way to apply the correction without using the<br></span><pre class=""><span style="font-family:arial,helvetica,sans-serif">ft_timelockanalysis<span class="">(</span>cfg, data<span class="">)</span> function? <br>
I understand that the </span><span style="font-family:arial,helvetica,sans-serif"><span style="font-family:arial,helvetica,sans-serif">ft_regressconfound</span> function has limits and caveats but I still would like to see the results of its correction.<br>
<br></span></pre><pre class=""><span style="font-family:arial,helvetica,sans-serif">Another way to ask this question is: <br>what is the format/structure of the second input (timelock) in the <br>ft_regressconfound<span class="">(</span>cfg, timelock<span class="">)</span> function and how it can be created without </span><span style="font-family:arial,helvetica,sans-serif"><span style="font-family:arial,helvetica,sans-serif">ft_timelockanalysis</span>?<br>
<br></span></pre><pre class=""><span style="font-family:arial,helvetica,sans-serif">Thanks,</span></pre><div><div><div><div><span style="font-family:arial,helvetica,sans-serif">Inna </span><br></div>
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