Mike,
I see. Currently it is not possible to insert different images into
individual components of the stream in a convenient way. Both the -base
and -long processing take their data from cross. There could be ways of
manually stopping the stream (e.g. after the motion correct in -long)
and
Martin,
The problem is not due to a different acquired resolution, but different
reconstruction scripts being used at the scanner, so the underlying DICOM data
is actually the same dimensions throughout the study.
This means that some subjects have a bit of squishing in the x/y dimensions.
Hi Laurena
it doesn't use tensor fitting at all.
cheers
Bruce
On Mon, 4 Apr 2016, Holleran, Laurena
wrote:
Thanks Bruce,
I have not used TRACULA before but I'll look into it. Does the tensor
estimation have to be carried out using dtirecon for TRACULA or can I input
tensor calculations
Thanks Bruce,
I have not used TRACULA before but I'll look into it. Does the tensor
estimation have to be carried out using dtirecon for TRACULA or can I input
tensor calculations from another software?
Thanks
Laurena
From:
Hi Laurena
yes, this is what TRACULA does. Usually it requires diffusion data, but you
might be able to run it without (which would amount to mapping the tracts
from the atlas onto your individual subject). Perhaps Anastasia can
comment?
cheers
Bruce
On Mon, 4 Apr 2016, Holleran, Laurena
Hi Mike,
you can't change this retrospectively. It means that different protocols
were used when scanning (or different processing after scanning, before
passing it to freesurfer-in that case it could be fixed). It would be
good to try to understand what exactly changed between acquisitions
Hello experts,
I wanted to know if there are any other white matter parcellation methods being developed which specifically label white matter tracts? I know that the wmparc voxel are assigned a label based on the
piece of cortex that is closest too it, however a significant portion of
Hello Freesurfers,
I'm interested in creating a group map where each vertex/voxel represents the
correlation (as a correlation coefficient) between a task-related BOLD contrast
values (ces.nii.gz) and a single covariate. This is analogous to a cortical
thickness GLM with one group and one
We have a large number of scans that have been processed through the standard
cross-sectional stream. Subjects have a number of repeated scans, so we now
want to take advantage of the longitudinal stream.
When first beginning to run subjects through longitudinal template creation, we
noticed a
Hi,
I want to perform a linear regression for a task with 3 different risk
conditions (low, medium, high) with the following linear trend: low = 1, medium
= 2, high = 3.
Right now I'm specifying the above weighted under each risk condition in my
contrast matrix. Is this the correct approach?
Dear FreeSurfer experts,
I am trying to analyze some single time points of my longitudinal data in QDEC.
I have 3 groups and created a file for the discrete factor "group" with three
levels (1,2 and 3). I have done the same for gender (with 2 levels). The
analysis with gender works just fine
Dear Freesurfers,
I run the preprocessing step of some functional data with preproc-sess,
then the Fourier analysis with matlab. Now, I'm trying to plot this data on
the surface:
mri_vol2surf --mov Katkov_OT_45.nii.gz --trgsubject MishaK --hemi lh --reg
register.dof6.dat --o
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