Dear free surfer experts,
I was wondering if someone could give me some general guidance on controlling for
multiple comparisons using clustering and FDR. This the situation. I completed an
analysis of functional data by first dividing the cortex into parcellations using
the icosahedron 5
Dear experts,
I am trying to understand how the pial and white surfaces are generated in
longitudinal stream using information from the reconstructed base template
(freeSurfer development version).
In longitudinal stream, apart from the -orig, -orig_pial and -orig_white there
are also
Hi Anatasia,
Thank you for your reply, I'm sorry for responding so later, I have been
trying a few different things in order to get tracula to work. I did what
you suggested and compiled the bvals and bvecs into one file, in the same
order as the images. This got me further, but the trac-all
Thank you very much Doug. You are so awsome :)
Bests,
John Anderson
Senior Research Associate
Psychological and Brain Sciences Dept.
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834
Fax: +1 (603) 646-1419
Sent: Monday, November 14, 2016 at
Hi, I just found a bug in mri_glmfit-sim in regards to GRF on
volume-based data. I put a fixed version at the same location. Please
use the new version
On 11/04/2016 10:25 AM, Douglas N Greve wrote:
> oops, sorry,
>
> download these files
>
>
That is usually not the way you want to handle dichotomous variables.
For example, if you use Male=1 and Female=2, you are implying that
Females have a factor of two greater thickness (or whatever) relative
to males. Maybe it works if the factor only has two levels. But why not
set it up as a
Thanks a lot for your reply.
Also, my apologies about giving you a hard time.
Again, thanks for the reply.
Best regards,
DaWoon
> 2016. 11. 15. 오전 12:54, Douglas N Greve 작성:
>
> Hi, we do not support a tool to do this, sorry. I think you can do it in
> FSL with
You can use fscalc to multiply the pet and area maps,eg
fscalc pet.lh.nii.gz mul lh.white.avg.area.mgh -o weighted.nii.gz
On 11/14/2016 11:53 AM, Matthieu Vanhoutte wrote:
> Ok I will try both.
>
> Best,
> Matthieu
>
> 2016-11-14 17:50 GMT+01:00 Douglas N Greve
If you did not smooth them explicitly, then there will be only a little
vertex-like smoothing. As to which weighting is better, I'm not sure. If
the ROI is big, it probably won't make much difference. Can you try both
and see?
On 11/14/2016 11:39 AM, Matthieu Vanhoutte wrote:
> Dear Douglas,
Thank you !
Best regards,
Matthieu
2016-11-14 17:48 GMT+01:00 Douglas N Greve :
> Rigid.
>
>
> On 11/14/2016 11:43 AM, Matthieu Vanhoutte wrote:
> > Still using rigid-body registration on --long subject directory ?
> >
> > Or is affine registration in this case
Rigid.
On 11/14/2016 11:43 AM, Matthieu Vanhoutte wrote:
> Still using rigid-body registration on --long subject directory ?
>
> Or is affine registration in this case needed ?
>
> Best regards,
> Matthieu
>
> 2016-11-14 17:12 GMT+01:00 Douglas N Greve
or do it in matlab. Should only be 4-5 lines of matlab code
On Mon, 14 Nov
2016, Douglas N Greve wrote:
> I don't know of a single way to do it. I would probably use
> mri_label2label to output a mask of the label, then use mri_binarize to
> invert it, then mri_cor2label to convert it back to a
Still using rigid-body registration on --long subject directory ?
Or is affine registration in this case needed ?
Best regards,
Matthieu
2016-11-14 17:12 GMT+01:00 Douglas N Greve :
> I would just register the pet to the closest (in time) anatomical
>
>
> On
what do you mean the edges?
On 11/14/2016 11:18 AM, Foteini Protopapa wrote:
> Dear FS experts,
>
> I have a volume with specific clusters and I project it to a surface
> using mri_vol2surf. How can I determine the edges of my clusters now?
>
> Thanks in advance,
> Foteini.
>
>
>
Dear FS experts,
I have a volume with specific clusters and I project it to a surface
using mri_vol2surf. How can I determine the edges of my clusters now?
Thanks in advance,
Foteini.
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I would just register the pet to the closest (in time) anatomical
On 11/14/2016 07:20 AM, Matthieu Vanhoutte wrote:
> Dear Freesurfer's experts,
>
> I come back to you concerning questions of registrations.
>
> Since during the longitudinal process each --long subject directory
> has been
Good question. I'm not sure as there could be reasons to do either. I
guess if you are not smoothing your data, then weighting by area would
be the most appropriate
doug
On 11/11/2016 05:41 PM, Matthieu Vanhoutte wrote:
>
> Is it better to compute mean to weight by number of vertices or
>
Hi Elijah, can you repost with previous correspondence included? We get
a lot of emails here and can't keep track of each person's issue. thanks!
doug
On 11/11/2016 08:06 PM, Elijah Mak wrote:
> Hi,
>
> A bit more info: the stack of thickness maps consists of
>
I don't know of a single way to do it. I would probably use
mri_label2label to output a mask of the label, then use mri_binarize to
invert it, then mri_cor2label to convert it back to a label
On 11/14/2016 10:53 AM, Eryilmaz, H. Hamdi wrote:
> Dear FreeSurfers,
>
> I was wondering if there is
Hi, we do not support a tool to do this, sorry. I think you can do it in
FSL with fslswapdim. Try contacting the FSL list
On 11/14/2016 07:52 AM, DaWoon Heo wrote:
> Dear Freesurfer experts,
>
> I would like to use the ‘mir_convert --out_orientation LAS’ to change the
> orientation of my data
Dear FreeSurfers,
I was wondering if there is a standardized way to construct a label that is the
complement of a regional label on freesurfer. For example, I have a customized
DLPFC label and would like to create another label that encompasses the entire
cortex except that DLPFC region.
Hi,
Anyone has solved a similar problem with 'Invalid FreeSurfer license key'?
I have just got a license though email, and put the four-line code in a
file named license.txt. Now the file is in the folder where I installed
freesurfer. It should work well but it didn't.
When I used tksurfer,
Dear Freesurfer experts,
I would like to use the ‘mir_convert --out_orientation LAS’ to change the
orientation of my data (i.e. fMRI T1 data).
From several materials, I could find it is not a good idea to change the
orientation. However, to improve the efficacy of ‘bet’, it seems converting the
Dear Freesurfer's experts,
I come back to you concerning questions of registrations.
Since during the longitudinal process each --long subject directory has
been registered onto the common --base template, shouldn't I:
1) Register PET data onto the subject cross-sectional directory (native
Hi Prof. Greve,
Thanks for the response and sorry for the confusion. I mean can we use
dichotomous variables in the "Nuisance Factors" box of qdec? i.e., if we don't
explicitly define them as categorical variables. I was thinking that if it's a
GLM then it should be ok?
We want to do this
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