Hi!
I ran mri_segstats as instructed in the wiki to extract ADC values from
adc.nii. And as you can see below in my output, I think the decimal digits are
truncated and missing the following decimal values. Is there an option or other
way to get around this problem and extract ADC values from
I found out why it didn't work. One of the script that bedpostx_postproc.sh
calls is written in python2. I set my default to python3 and therefore caused
the error in the last step. After I loaded python2 environment, i got the
merged files and finished properly. Thanks for your help as
Hi Anastasia,
trac-all -prep completed without error.
I thought trac-all -bedp starts and ends without any error but trac-all path
failed with these messages.
Loading BEDPOST parameter samples from */dmri.bedpostX
niiRead(): error opening file*/dmri.bedpostX/merged_ph1samples.nii.gz
ERROR:
Hi Anastasia,
Is there a preferable method between CVS vs MNI registration when extracting
diffusion mesures from ROIs (white matter, ASEG etc)?
Best,
Yoon
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Freesurfer@nmr.mgh.harvard.edu
Hi Anastasia,
Is it possible to extract diffusion measures FA, ADC etc. within the
subcortical (ASEG) or WM parc ROI regions using the Freesurfer tools? If
possible, can you show how it can be done? Thank you in advance.
Best,
Yoon
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Freesurfer
Dear freesurfer experts,
This is a follow up question from a previous post
http://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg47480.html
I have created a sig.mgh from my own stats code and need to also generate
fwhm.dat file to run the monte carlo sim, which is estimated from
residual, you can run mris_fwhm to get the fwhm.dat file, and then just
> run mri_glmfit-sim.
> doug
> On 06/02/2016 02:56 PM, Chung, Yoonho wrote:
>
> Dear experts,
>
>
> This is a follow-up question from my previous post.
>
>
> http://www.mail-archive.com/free
Dear experts,
This is a follow-up question from my previous post.
http://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg47287.html
If I am running stats with my own stats code to generate p-values and other
parameters, what other files
do I need to generate in order to run
4/2016 01:55 PM, Chung, Yoonho wrote:
>
> Hi - If I would like to try to perform mass-univariate statistics at
> the vertex level (thickness, area, vol at each vertex) without using
> the mri_glmfit, is this order a sound step (in general) for mapping
> stats parameter of choice (p-val
Yes - I am interested in applying the monte carlo sim to my own model fit. Doug
can you walk me through the steps I need to get this part done? When you say
residuals, I am assuming that I need to supply a vector file of residuals after
I fit my model to the smoothed data (eg. using
Hi - If I would like to try to perform mass-univariate statistics at the vertex
level (thickness, area, vol at each vertex) without using the mri_glmfit, is
this order a sound step (in general) for mapping stats parameter of choice
(p-val or t s or weights for example) to the surface?
1. Use
Hi Anastasia,
I was wondering if there is a flag in the tractstats2table function that
extracts all the variables in the dwi_motion.txt file for all subjects and put
them into a single spreadsheet. Thanks!
Best,
Yoon
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Hi,
I am running Hippocampal subfield processing stream and I think I got all the
appropriate posterior_*.mgz files I need to get the stats, but I am not
seeing nonPartialVolumeStatsRight.txt anywhere as described in the wiki
under $subjectsdir. What I am seeing is volumeStats_left.txt and
Dear FS experts.
I am trying run trac-all - the longitudinal version - on the cluster and not by
using the dmrirc file. I am looking at the 'trac-all -help' and also the wiki,
but I couldn't find a flag or option where I could specify the use of
unbiased-template (e.g. [subjectID-base]) and
Dear Freesurfer Experts
We decided to reprocess our T1 and DTI data with the latest stream v.5.3 – we
would like to give TRACULA longitudinal stream a try. Before we go ahead and
reprocess our recons and DTI data with FS v 5.3 we were wondering if you plan
to release a new version of the
Dear Freesurfer Experts
We decided to reprocess our T1 and DTI data with the latest stream v.5.3 – we
would like to give TRACULA longitudinal stream a try. Before we go ahead and
reprocess our recons and DTI data with FS v 5.3 we were wondering if you plan
to release a new version of the TRACULA
Hi Anastasia
I switched from FS v.5.2 to v.5.3 and I am still having this error when running
TRACULA longitudinal freesurfer stream despite running with freesurfer v5.3
(both recon-all and trac-all).
I am sending along the dmrirc file and the log file. Could you check what may
be causing this
Thanks for the tip. Another question.
In the dmrirc file, can we also define multiple bval file? (like how in the
example-dmrirc long- you can set multiple bvecs.txt using 'set bveclist'?
In the example, option for specifying multiple bval files is not shown.
Thank you
Yoon
On May 22,
Hi Anastasia,
I have a large set of freesurfer recons (T1) already processed through FS
version 5.2 longitudinal stream while ago. However, I see now that there is an
advantage of using Tracula 5.3 longitudinal stream for DTI longitudinal
analysis. Do you know if I run the DWI data using 5.3
Dear fs experts,
I have created 5 customized labels that I want to extract mean thickness from
each subject. Is there a way to generate a text file for all the labels I made?
For example, aparcstats2table --parc option only allows to read one label at a
time. I am wondering if there is a way
Hi all,
Where can I find the effect size file(.mgh) after running mri_glmfit when doing
group analysis (control vs patients adjusting for age and sex)? Somewhere in
the wiki said gamma.mgh is the surface overlay for effect size. Is this true?
If not, how would I compute one?
Yoon
Dear all,
Is there a way to visualize vertex wise t-values (t-statistics), instead of
p-values, on a vertex map when you are doing group analyses? I successfully
generated the p-maps using mri_glfmfit, but I am wondering if vertex-wise maps
that represent t-values can be also generated and
Dear Freesurfers,
Is there a way to visualize average absolute symmetrized percent
thickness/volume/area change (not significance map) using qdec or tksurfer or
other freesurfer tools?
I successfully generated correlation significance map using qdec for the
longitudinal data we processed, but
cc'ed
Nick who probably knows more).
If qdec cannot do it, you can probably find the gamma.mgh file in the
glm/constrast subdirectory and then open it with tksurfer.
Best, Martin
On 08/30/2013 02:16 PM, Chung, Yoonho wrote:
Dear Freesurfers,
Is there a way to visualize average absolute
Dear all,
I am interested in looking at developmental changes in the brain during
adolescence period in normal subjects and also comparing our controls to our
clinical patients. Examples in the longitudinal processing stream tutorial have
only mentioned volume and thickness, so I was wondering
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