Hi Pierre,

Tricky question. So you can't really use the post-op cortical surface for this 
participant, right? Otherwise I would simply use the outer smoothed pial for 
this subject directly, which would be much more similar to the pre-op than the 
outer surface from the fsaverage (?). Otherwise, with the gadolinium MRI, maybe 
you can still get an adequate white surface, but I'm not sure that it would 
help you. The other option is to use the brain mask volume (which may work even 
with gadolinium if you are lucky, otherwise you can play with the watershed 
parameters), and tesselate a surface directly on this volume. But you'll get 
the two hemispheres at once (and probably the cerebellum as well), which may 
not be what you want?

Best,

Marie


On Oct 28, 2014, at 2:10 PM, Pierre Mégevand 
<pierre.megev...@gmail.com<mailto:pierre.megev...@gmail.com>>
 wrote:


Thanks Marie. Here is what I'm trying to do. In fact, all I need from LGI are 
the first few steps, until ?h.pial-outer-smoothed has been generated. I'm not 
actually interested in the local GI for fsaverage.

Our intra-cranial electrode localization method relies on post-implant CT and 
MRI scans to localize the electrodes, and a pre-implant MR scan to which we 
co-register the post-op exams and to whose smoothed outer pial surface we then 
"snap" the electrodes to, in order to account for the brain shift caused by the 
implantation procedure (Dykstra et al., 2012).

Now, for one of our patients, the pre-op MRI was acquired with a lot of 
gadolinium, and we can't get Freesurfer to compute the pial surface. So I 
thought I would co-register the post-op exams to the fsaverage brain, and then 
snap the electrodes to fsaverage's outer smoothed pial surface as an 
approximation. Any idea how else I could do this?

Thanks,

Pierre

On Oct 28, 2014 3:06 PM, "Marie Schaer" 
<marie.sch...@unige.ch<mailto:marie.sch...@unige.ch>> wrote:

Hi Pierre,

I'm not sure exactly what you are trying to do, but it's true that LGI fails 
for fsaverage at the mris_fills step, where the volume looks "cut". It seems to 
be something in the properties of the fsaverage surfaces. Maybe Doug or Bruce 
have an idea where it comes from.

But in any case, I wouldn't advice to run the LGI on the fsaverage, as the 
pattern of cortical folding is lost from the averaging of the subjects. So I'm 
not even sure that the algorithm will work even if you get mris_fill to work.

Can you tell us more precisely what you are trying to do? And why on the 
fsaverage rather than on your individual subject?

Best,

Marie

On Oct 28, 2014, at 5:31 AM, Pierre Mégevand 
<pierre.megev...@gmail.com<mailto:pierre.megev...@gmail.com>> wrote:

Dear all,

I've looked a little bit further into why LGI fails for fsaverage. I previously 
tried simply running recon-all -s fsaverage-localGI but the script exited with 
errors after a good while. More importantly for me, the lh.pial-outer-smoothed 
surface, which I am after, did not look right.

It seems that the first step, mris_fill, produces a volume that does not look 
very much like a brain anymore (cf. attached screenshot). Any idea why that 
would happen?

Thanks,

Pierre
--
Pierre Mégevand, MD, PhD
PLOS Neuro Community<http://neuro.plos.org/> editor - Follow us on 
Twitter<http://twitter.com/PLOSNeuro>
Postdoc @ Feinstein Institute for Medical Research (NY, USA)
Follow me on Twitter<http://twitter.com/pierre_vanmedge> - Read my blog 
here<http://neuroscimed.wordpress.com/>
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