<div dir="ltr"><p dir="ltr" style="font-family:arial,sans-serif;font-size:13px">The morph precomputed should give equivalent results to morph_data, but it allows the user to only compute the morph matrix once, which can be more efficient depending on the use case.</p>
<p dir="ltr" style="font-family:arial,sans-serif;font-size:13px">I generally morph to fsaverage for three reasons. One, I've stared at that brain longest, so I recognize features on it more quickly. Two, when doing across subjects tests, morphing all subjects to a different brain (fsaverage) avoids any potential bias (such as not smoothing as much in a transform) that could otherwise favor the one subject everyone else's data is morphed to. Three, fsaverage is a grade 5 (20484 vertices total) source space and thus higher-resolution than my other subjects, which typically have around 7000 total dipoles. Morphing to a higher resolution should help minimize loss of spatial information in the transform.</p>
<p dir="ltr" style="font-family:arial,sans-serif;font-size:13px">Eric<br></p></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Thu, Jan 24, 2013 at 1:30 PM, Alexandre Gramfort <span dir="ltr"><<a href="mailto:gramfort@nmr.mgh.harvard.edu" target="_blank">gramfort@nmr.mgh.harvard.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">hi denis,<br>
<div class="im"><br>
> while we are at it, is there actually one to be preferred way of morphing,<br>
> i.e. morph_precomputed vs morph_data?<br>
<br>
</div>morph_precomputed is faster but requires more memory. It gives the same output<br>
as morph_data.<br>
<div class="im"><br>
> Also is there any theoretical pro /<br>
> con for choosing fsaverage vs inter-subject-morphing?<br>
<br>
</div>do you mean morphing to the average brain of your study or one random subject?<br>
I am used to morph to fsaverage so I cannot really comment based on prior<br>
experience.<br>
<br>
Alex<br>
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