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Hello Freesurfer experts,
If I want to analyze the volume difference of regions (2 time points) after
performing all the 3 steps of the longitudinal pipeline, do I need to
adjust each volume in the "long" directories to its specific "tp.long" ICV
or ar
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Contact Dr. Martine Migaud (martine.mig...@inra.fr) for questions.
Job title:
Multi-modal MRI analysis of a large mammalian brain model
Structure:
A 2-
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Hi FS Experts,
I'm trying to run a longitudinal analysis across three timepoints and have run
the cross steps for the data. I then ran the base step but found that my voxel
dimensions are slightly different across the timepoints and I got the follow
Hi Dr. Kevin Aquino - could you please upload the entire subject directory? At
first glance, it looks like fs is incorrectly including gm in the wm.mgz just
superior to the surface errors you're seeing - the cluster of voxels w/
intensity 250 around the coordinate 87 178 97 in the wm.mgz.
Try e
Hi Lauri, the z we compute is based on the transform from a p-value, not
the r-value. This is often referred to as a "pseudo-z". The pseudo-z
depends on the degrees of freedom. Now that you mention it, it would
probably be better to use the r-to-z transform to compute something
closer to a real
depends on what you are getting the direction of the result for and how
you want to interpret it. If the cluster has both pos and neg, then the
interpretation becomes more difficult. Is this really happening? I don't
think I've ever seen it. The abs() just takes the absolute value, there
is no
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Dear Freesurfer team,
I'm working on correlation between fMRI data and a clinical score. Since
such fMRI data correlate also with cortical thickness, I'd like to regress
out this variable (cortical thickness).
How can I write my fsgd file and command
You have to use a per-vertex regressor (--pvr to mri_glmfit). Search
through the mail archives to find instructions
On 05/15/2018 03:53 PM, Raffaele Dubbioso wrote:
>
>
> Dear Freesurfer team,
>
> I'm working on correlation between fMRI data and a clinical score.
> Since such fMRI data correlat
Hi Laura,
it could be that 9 years of severe aging or neundegenerative disease are too
far apart for the method to cover the distance. The base would look blurry or
show ghosting (in 2 time points the median is equal to the mean and the mean
will not look good with too much change). I would re
Hi Emmanuel,
I think this should be identical to the cross sectional situation, you map that
cluster (defined on FSAVERAGE) to each subject_time_point and then use
mri_segstats to get stats on that region. Probably others can help you with
what tools exactly you need for this (or probably this
Hi Tamir,
ICV is fixed across time (derived from the template image), so that data can be
compared directly, but for cross subject analysis you still need to adjust for
ICV of course.
Best, Martin
> On 15. May 2018, at 03:19, Tamir Eisenstein wrote:
>
>
>
> Hello Freesurfer experts,
>
>
Hi Erik,
you should investigate why this is the case. Any difference in acquisition will
cause effects and it will be impossible to distinguish these from real effects.
Also you should never just resample one time point, as that will introduce
processing bias. I would advise to
- find out why
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