Hi Doug,
Referring to the PETSURFER tutorial for dynamic PET data, I am wondering if it
is possible to obtain a volume-based equivalent of mrtm2.lh.sm05/bp.nii.gz? As
I understand, bp.nii.gz is the partial-volumed corrected output that has been
sampled onto the fsaverage surface.
Thanks for
Hello FS users,
I am using FreeSurfer version 5.3 to calculate local verification index and
processing stopped at make_roi_paths. Here, I was given the error below. I
searched in the archives and found a solution to the problem was to edit a few
lines on SearchProjectionOnPial.m. The new
Freesurfer people,
*I have a label file that I want to make into a volume file only in the
white matter to use in diffusion tractography.*
*I was told to use mri_aparc2aseg to put the labels onto the WM surface and
make them into a volume. I made the label files into annotation files using
the
The header file does not exist.
Here is the output from `make`:
# make
make: *** No rule to make target `lta_convert.help.xml.h', needed by `all'.
Stop.
Here is the content of the Makefile:
# Makefile.in generated by automake 1.13.4 from Makefile.am.
# lta_convert/Makefile. Generated from
Hi,
I have a MT and T1W volume (processed through recon-all). I would like to
extract all MT values that lie in the middle surface of the cortex, and run
that through mri_segstats so I get average MT values for each cortical
region in the DK-atlas.
My workflow is as follows:
1. mri_vol2suf
use mri_segstats, eg,
mri_segstats --annot fsaverage lh aparc --i pcc.mgh --exclude 0 --sum
sum.dat --avgwf pcc.roi.dat
The pcc.roi.dat file will have a row for each subject and a column for
each ROI. The sum.dat will have a list of which ROI corresponds to which
column.
On 10/04/2017 04:27
Hi Dr. Yeo,
Just a related question -- do you have an opinion on if one of the network
solutions corresponds to the language network? I realize they are all
bilateral, with no significantly left lateralized one. But do you think one
of the DMN solutions (such as Default B in the paper you linked,
Hi Chintan,
Sorry. At that time, we wanted to not bias the interpretation of the
networks by naming them. But that may be a bit idealistic. We have
subsequently named the networks.
To map networks 1 to 17 to the names, the easiest way is to load the annot
in freeview and hover your mouse over it
