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<p style="margin-top:0;margin-bottom:0">Many thanks for clarifying that Eelke!</p>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> fieldtrip <fieldtrip-bounces@science.ru.nl> on behalf of Eelke Spaak <e.spaak@donders.ru.nl><br>
<b>Sent:</b> Tuesday, July 24, 2018 3:16:06 AM<br>
<b>To:</b> FieldTrip discussion list<br>
<b>Subject:</b> Re: [FieldTrip] Query about source/gridpoint size after ft_prepare_sourcemodel</font>
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<div class="PlainText">Hi Ravi,<br>
<br>
Beamforming will estimate source activity at *point* sources; in other<br>
words, the grid points have no spatial extent (i.e., they are<br>
zero-dimensional).<br>
<br>
> If so, is the only way to extract 'larger' sources to fit a<br>
> whole-brain grid (e.g. using the 4mm-spaced source template provided by FT),<br>
> identify gridpoints after ft_sourceanalysis that fall within a specified<br>
> Euclidean distance (e.g. 5mm) of the functional atlas MNI coordinates, and<br>
> then e.g. average over all those gridpoints?<br>
<br>
Yes, that is definitely a valid approach. You will probably not need<br>
to use such a finely spaced grid if you end up averaging over grid<br>
points anyway. Typically, the spatial filters for neighbouring grid<br>
points will be highly correlated.<br>
<br>
Best,<br>
Eelke<br>
<br>
><br>
><br>
> Thanks in advance!<br>
><br>
> Ravi<br>
><br>
><br>
> --<br>
> Ravi Mill, PhD<br>
> Post-doctoral researcher<br>
> Center for Molecular and Behavioral Neuroscience (CMBN)<br>
> Rutgers University<br>
><br>
><br>
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