Hi Freesurfers,
I wanted to bring to the attention of recent graduates a research assistant
position in my lab. Briefly, the position entails the application and transfer
of your proficiency with FreeSurfer in the acquisition and analysis of fMRI
data collected from healthy adults.
More detail
Hi,
I'm attempting an inaugural run through the FS pipeline on some event-related
data collected over 6 runs. I'm not sure if this makes any difference, but the
experiment is self-paced, and the events are of varying duration (it's a
lexical decision task, and participants can take up to 4 secon
I was hoping the developers might be able to help with a problem I'm having
with a sub-step of preproc-sess.
I executed the following:
preproc-sess -s FS_T1_501 -surface self lhrh -fwhm 6 -per-run -fsd bold
In the relevant output, I see mktemplate-sess completed, followed by a call to
mkbra
on another
dataset (but on another workstation, but neither were those two binaries to be
found on that workstation).
Is your /tmp space full?
On 04/15/2016 12:54 PM, Mcnorgan, Christopher wrote:
>
> I was hoping the developers might be able to help with a problem I'm
> having with
Hi,
First, thanks to Doug Greve for helping me isolate my previous problem, which
turns out to have resulted from a conflicting fsl installation. Now that that's
resolved, I'm having a problem on a first-level analysis.
In preparation for calling selxavg3-sess, I am running preproc-sess on an
?That seems to have been the problem: Running the data through Slicer as
suggested elsewhere fixed the slice time code, but then saved only a single
frame of the 4D data. I had been poking around the file header looking for a
corresponding field, not suspecting that it was a calculated value and
The references to external regressors in mkanalysis-sess are a little sparse on
how I would go about analyzing a continuous regressor:
I have a mixed design experiment:
TaskBlock1 Rest TaskBlock2 Rest … TaskBlockN Rest
x6 Runs
Within each block are jittered events (5 of condition A, 5 of conditi
Hi,
I’m running a group-level analysis and have encountered an error that results
in a core dump. The first-level analyses were run using the fsaverage surfaces,
rather than self surfaces. I’ve already inspected the individual contrasts,
loading the fsaverage surface in tksurfer and rendering ea
Though one workaround might be to subdivide a label many, many times using
mris_divide_parcellation, I was wondering if it is possible to obtain a
per-vertex (or even per-face) fMRI waveform for a label. In other words, rather
than compute the average waveform across all vertices, as with mri_se
Hi, I’m having some issues generating surfaces for an individual and was hoping
that a combination of tools might help. In this particular individual, the
skull stripping went fine, but a fairly large proportion of the anterior
temporal cortex (primarily inferior) volume is excluded from the dat
An epiphany lead me to the solution to the problem, which I shall post here
since I am apparently due to experience it again in 2019.
The NAN values in the GLM matrices were the result of there being a condition
that did not appear in any of the .par files across all of the runs. Once these
file
Hi,
I have some BOLD data from a fast event-related experiment with 3 experimental
conditions, 1, 2 and 3. A reviewer wants me to isolate the signal for
condition 1. Under the assumptions of the GLM, the signal is a linear
combination of A1+B2+C3+Error, so it seems that I need to construct a d
Hi Doug,
Thanks for the prompt reply to what was essentially a 2-part question. Data
were processed in both fsaverage and native space for different reasons, which
is why I suggested the possibility of surface space incongruency on at the end,
which your reply seemed to make more likely. It tur
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I’ve got a custom .annot file covering the entire cortical surface in fsaverage
space, and I wish to see which labels overlap with an overlay statistical
contrast volume generated by mri_glmfit.
I extracted the vertex indices from my custom .annot fil
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Hi Ece,
I believe you will find a walkthrough of the steps to do exactly what you want
done on my lab wiki:
http://ccnlab.psy.buffalo.edu/wiki/index.php/Annotation_Coordinates
Hope this helps,
Chris
/**
*
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Hello, I’ve been trying to get to the bottom of why selxavg3-sess is failing
for lack of a mcprextreg motion correction parameters file for one or more of
the functional runs.
I have 6 runs of BOLD data, and following the last failed attempt, we clear
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Hi Doug,
For some reason I’m having a problem replying to this list with my reply to
your reply. To recap: some of my functional runs are missing the mcprextreg
file, and so the GLM with the motion correction parameters is failing.
You had asked whe
the transfer completing
successfully, I have also uploaded the file to my google drive where I’ll let
it remain for the next few days if you want to get it from there instead:
https://drive.google.com/open?id=1urPlFg3NU56RxtZslgLzk-pXef3Csye1
Thanks,
Chris
From: "Mcnorgan, Christ
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Thanks for looking into the matter Doug, and I now have gotten to the bottom of
the problem based on your suggestion about dropping volumes.
For context, I have been collecting functional runs from a Phillips scanner
using a self-paced task, and termi
Hello FreeSurfers,
I have an existing pipeline that computes the residualized time series after
removing any linear trends using mri_glmfit:
mri_glmfit --y ${source_dir}/${r}/${filepat}.${surf}.${hemi}.nii.gz \
--glmdir ${source_dir}/${r}/${hemi}.detrend \
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I’m interested in working with data mapped to the .sphere icosohedrons. I
understand from a response from Doug back in 2017 that:
waveforms = fast_vol2mat(MRIread('waveform.nii.gz'));
will give me a v x time matrix of values from my functional val
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I’ve been using mri_glmfit to regress out motion correction parameters and
linear trends and saving residuals in surface space by first generating a QA
matrix for the volume:
mri_glmfit --y ${source_dir}/${r}/${filepat}.${surf}.${hemi}.nii.gz \
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Hi all,
There was some ambiguity in communication from a previous MR technician
regarding the slice ordering in our BOLD data.
preproc-sess was applied to our data:
preproc-sess -sf SUBJECTS -surface fsaverage lhrh -per-run -fsd bold
-sliceorder up -f
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I’ve been using the .annot files generated by group-level GLM results for
functional masks for task-related functional connectivity studies.
Depending on threshold and contrast, the clusters can be quite large, and I
would prefer to use the mris_divid
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Hi,
I have a couple students who are windows users who I am training remotely.
They’ll be using the VDI found at:
https://surfer.nmr.mgh.harvard.edu/fswiki/VM_67
I’ve never tried this and can give no guidance, as I have no Windows computers
at my disp
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Hi,
I run Freesurfer remotely on Ubuntu, and locally on my Mac, so I’ve not had
this problem personally. Two students are working remotely with PCs and are
using the VM installation you folks provided
(https://surfer.nmr.mgh.harvard.edu/fswiki/rel7do
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