Sure, here are the commands for a specific subject. The output is the same
when I run it like this.

wb_command -gifti-label-to-roi
102816/MNINonLinear/fsaverage_LR32k/102816.L.aparc.a2009s.32k_fs_LR.label.gii
L.STS.func.gii -name S_temporal_sup
surf2surf  -i
102816/MNINonLinear/fsaverage_LR32k/102816.L.white.32k_fs_LR.surf.gii -o
L.STS.fsl_MNI_new.asc --outputtype=ASCII  --values=L.STS.func.gii

surf2surf -i
102816/MNINonLinear/fsaverage_LR32k/102816.L.white.32k_fs_LR.surf.gii -o
brainmap_HCP/a_white.L.asc --outputtype=ASCII
--values=102816/MNINonLinear/fsaverage_LR32k/102816.L.atlasroi.32k_fs_LR.shape.gii
surf2surf -i
102816/MNINonLinear/fsaverage_LR32k/102816.R.white.32k_fs_LR.surf.gii -o
brainmap_HCP/a_white.R.asc --outputtype=ASCII
--values=102816/MNINonLinear/fsaverage_LR32k/102816.R.atlasroi.32k_fs_LR.shape.gii
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 8
102816/T1w/Diffusion/brainmap_HCP/bm_CEREBELLUM_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 47
102816/T1w/Diffusion/brainmap_HCP/bm_CEREBELLUM_RIGHT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 16
102816/T1w/Diffusion/brainmap_HCP/bm_BRAIN_STEM.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 17
102816/T1w/Diffusion/brainmap_HCP/bm_HIPPOCAMPUS_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 53
102816/T1w/Diffusion/brainmap_HCP/bm_HIPPOCAMPUS_RIGHT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 18
102816/T1w/Diffusion/brainmap_HCP/bm_AMYGDALA_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 54
102816/T1w/Diffusion/brainmap_HCP/bm_AMYGDALA_RIGHT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 28
102816/T1w/Diffusion/brainmap_HCP/bm_DIENCEPHALON_VENTRAL_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 60
102816/T1w/Diffusion/brainmap_HCP/bm_DIENCEPHALON_VENTRAL_RIGHT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 12
102816/T1w/Diffusion/brainmap_HCP/bm_PUTAMEN_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 51
102816/T1w/Diffusion/brainmap_HCP/bm_PUTAMEN_RIGHT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 13
102816/T1w/Diffusion/brainmap_HCP/bm_PALLIDUM_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 52
102816/T1w/Diffusion/brainmap_HCP/bm_PALLIDUM_RIGHT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 10
102816/T1w/Diffusion/brainmap_HCP/bm_THALAMUS_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 49
102816/T1w/Diffusion/brainmap_HCP/bm_THALAMUS_RIGHT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 26
102816/T1w/Diffusion/brainmap_HCP/bm_ACCUMBENS_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 58
102816/T1w/Diffusion/brainmap_HCP/bm_ACCUMBENS_RIGHT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 11
102816/T1w/Diffusion/brainmap_HCP/bm_CAUDATE_LEFT.nii.gz
mri_extract_label 102816/MNINonLinear/ROIs/Atlas_ROIs.2.nii.gz 50
102816/T1w/Diffusion/brainmap_HCP/bm_CAUDATE_RIGHT.nii.gz


echo 102816/T1w/Diffusion/brainmap_HCP/a_white.L.asc >
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/a_white.R.asc >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_ACCUMBENS_LEFT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_ACCUMBENS_RIGHT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_AMYGDALA_LEFT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_AMYGDALA_RIGHT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_BRAIN_STEM.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_CAUDATE_LEFT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_CAUDATE_RIGHT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_CEREBELLUM_LEFT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_CEREBELLUM_RIGHT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_DIENCEPHALON_VENTRAL_LEFT.nii.gz
>> 102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_DIENCEPHALON_VENTRAL_RIGHT.nii.gz
>> 102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_HIPPOCAMPUS_LEFT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_HIPPOCAMPUS_RIGHT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_PALLIDUM_LEFT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_PALLIDUM_RIGHT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_PUTAMEN_LEFT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_PUTAMEN_RIGHT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_THALAMUS_LEFT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt
echo 102816/T1w/Diffusion/brainmap_HCP/bm_THALAMUS_RIGHT.nii.gz >>
102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt

probtrackx2 -x 102816/T1w/Diffusion/WM_MNI_slice.nii.gz --omatrix3
--target3=102816/T1w/Diffusion/L.STS.fsl_MNI_new.asc
--lrtarget3=102816/T1w/Diffusion/brainmap_HCP/brainmap_filelist.txt -P 10
--forcedir
--dir=102816/T1w/Diffusion/test_surf_track_STS_brainmap_seedspace -s
102816/T1w/Diffusion.bedpostX/merged -m
102816/T1w/Diffusion/nodif_brain_mask.nii.gz
--seedref=102816/MNINonLinear/T1w_restore.nii.gz -V 2 --opd --pd
--distthresh3=2 --xfm=102816/MNINonLinear/xfms/standard2acpc_dc.nii.gz
--invxfm=102816/MNINonLinear/xfms/acpc_dc2standard.nii.gz


Cheers,

-Maarten



On Fri, Jul 24, 2015 at 5:03 PM, Glasser, Matthew <[email protected]>
wrote:

> Can you repost your commands with absolute paths (at least as far as
> ${StudyFolder})?
>
> Peace,
>
> Matt.
>
> From: Maarten Vaessen <[email protected]>
> Date: Friday, July 24, 2015 at 1:43 AM
> To: Matt Glasser <[email protected]>
> Cc: "[email protected]" <[email protected]>
> Subject: Tractography and brainordinates
>
> Thanks, I tried this. But the real problem seems to be that the matrix
> does not get filled (e.g. the .dot file is only 8Kb, this is with a low
> number of samples yes, but it should be much bigger).
>
> I am wondering if the problem is not with probtrackx2 and converting a
> mixed list of surfaces and volumes to dti space: to test this, I did the
> spatial conversion of the volumes to dti space myself with fnirt and used
> the native surfaces. And indeed then I get a huge .dot file and the results
> look fine (plotted in MATLAB). But the I have no correct cifti file to do
> the conversion as the number of brainordinates is different.
>
> Any further suggestions?
>
> -M
>
> p.s. I changed the subject as this thread got lost in the list somewhere.
>
> On Thu, Jul 23, 2015 at 12:25 AM, Glasser, Matthew <
> [email protected]> wrote:
>
>> I would try switching row and column and see what happens (the seeds are
>> normally the row and the targets the column).
>>
>> Peace,
>>
>> Matt.
>>
>> From: Maarten Vaessen <[email protected]>
>> Date: Wednesday, July 22, 2015 at 8:50 AM
>>
>> To: Matt Glasser <[email protected]>
>> Cc: "[email protected]" <[email protected]>
>> Subject: Re: [HCP-Users] tractography
>>
>> Hi,
>>
>> I did some more testing to see what could be the problem. The main weird
>> thing I see is that in the coords_for_fdt_matrix3 file, there are some
>> strange values:
>> coords_for_fdt_matrix3 :
>> 309  -57  38  0  8341
>> 308  -57  38  0  8342
>> 307  -56  38  0  8343
>> 306  -55  37  0  8344
>> 306  -55  36  0  8345
>> 305  -55  36  0  8346
>> 304  -55  35  0  8347
>> 304  -54  34  0  8348
>> tract_space_coords_for_fdt_matrix3:
>> 263  -44  30  0  0
>> 276  -40  72  0  1
>> 311  -5  42  0  2
>> 266  27  59  0  3
>> 286  -90  23  0  4
>> 313  -52  47  0  5
>> 292  52  5  0  6
>>
>>
>> If the first 3 values are x-y-z then this is somewhere outside the brain
>> probably.
>> However, when I use the L.STS.fsl_MNI_new.asc and brainmap_filelist.txt  
>> inputs
>> as seeds (-x ) without any matrix options, the outputs (as in
>> fdt_paths.nii.gz) look like expected. So this would indicate that there is
>> no problem in transforming the seeds to dti space and reading them I would
>> think?
>>
>> Any suggestions?
>>
>> -Maarten
>>
>>
>> On Mon, Jul 20, 2015 at 6:29 PM, Maarten Vaessen <[email protected]>
>> wrote:
>>
>>> Ah, of course!
>>> That is:
>>>
>>> wb_command -probtrackx-dot-convert fdt_matrix3.dot
>>> test_dot_to_cifti.dconn.nii -col-surface L.STS.func.gii -row-cifti
>>> 91282_Greyordinates.dscalar.nii COLUMN -transpose
>>>
>>> On Mon, Jul 20, 2015 at 5:54 PM, Glasser, Matthew <
>>> [email protected]> wrote:
>>>
>>>> No I meant the dot convert.
>>>>
>>>> Matt.
>>>>
>>>> From: Maarten Vaessen <[email protected]>
>>>> Date: Monday, July 20, 2015 at 3:29 AM
>>>> To: Matt Glasser <[email protected]>
>>>> Cc: "[email protected]" <[email protected]>
>>>> Subject: Re: [HCP-Users] tractography
>>>>
>>>> The conversion was done like this:
>>>>
>>>> wb_command -gifti-label-to-roi
>>>> ../../MNINonLinear/fsaverage_LR32k/102816.L.aparc.a2009s.32k_fs_LR.label.gii
>>>> L.STS.func.gii -name S_temporal_sup
>>>> surf2surf  -i
>>>> ../../MNINonLinear/fsaverage_LR32k/102816.L.white.32k_fs_LR.surf.gii -o
>>>> L.STS.fsl_MNI_new.asc --outputtype=ASCII  --values=L.STS.func.gii
>>>>
>>>> Is this what you were referring to?
>>>>
>>>> -Maarten
>>>>
>>>> On Sun, Jul 19, 2015 at 10:20 PM, Glasser, Matthew <
>>>> [email protected]> wrote:
>>>>
>>>>> The --onewaycondition flag doesn’t seem sensible with matrix3.
>>>>> Also I don’t know what your command was for doing the conversion.  Here is
>>>>> the probtrackx2 call that didn’t make it onto the list:
>>>>>
>>>>> probtrackx2 -x L.STS.fsl_MNI_new.asc --onewaycondition --omatrix3
>>>>> --target3=L.STS.fsl_MNI_new.asc
>>>>> --lrtarget3=brainmap_HCP/brainmap_filelist.txt -P 100 --forcedir
>>>>> --dir=./test_surf_track_STS_brainmap_seedspace -s
>>>>> ../Diffusion.bedpostX/merged -m nodif_brain_mask.nii.gz
>>>>> --seedref=../../MNINonLinear/T1w_restore.nii.gz -V 2 --opd --pd
>>>>> --distthresh3=2 --xfm=../../MNINonLinear/xfms/standard2acpc_dc.nii.gz
>>>>> --invxfm=../../MNINonLinear/xfms/acpc_dc2standard.nii.gz
>>>>>
>>>>>
>>>>> Peace,
>>>>>
>>>>>
>>>>> Matt.
>>>>>
>>>>> From: Maarten Vaessen <[email protected]>
>>>>> Date: Sunday, July 19, 2015 at 12:03 PM
>>>>> To: Matt Glasser <[email protected]>
>>>>> Cc: "[email protected]" <[email protected]>
>>>>> Subject: Re: FW: [HCP-Users] tractography
>>>>>
>>>>> In this case: seed region to whole brain connectivity. The STS seed is
>>>>> mainly for testing purposes (not as many seed points as the whole WM), the
>>>>> final analysis will use all WM voxels as seeds though. In fact,when I run
>>>>> the analysis with WM as the seed the results look equally strange: only
>>>>> connectivity to what appears to be the right inferior posterior cortex.
>>>>> Could this be an issue with the seed-space to dti-space parameters?
>>>>>
>>>>> -M
>>>>>
>>>>> On Sun, Jul 19, 2015 at 5:31 PM, Glasser, Matthew <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> What is it that you are trying to achieve?  Usually one uses a seed
>>>>>> of all white matter voxels with matrix3.
>>>>>>
>>>>>> Peace,
>>>>>>
>>>>>> Matt.
>>>>>>
>>>>>> From: Maarten Vaessen <[email protected]>
>>>>>> Date: Sunday, July 19, 2015 at 3:41 AM
>>>>>> To: Matt Glasser <[email protected]>
>>>>>> Subject: Re: [HCP-Users] tractography
>>>>>>
>>>>>> Hi Matthew,
>>>>>>
>>>>>> I tried to use the file you suggested, and I can convert the .dot
>>>>>> without problem. However, the results don't make any sense, so I think
>>>>>> there might be something wrong in my processing pipeline. Would you mind
>>>>>> having a quick look at it and see if I do something wrong?
>>>>>> Attached is the pipeline and a screenshot from the matrix as loaded
>>>>>> in MATLAB.
>>>>>> As you can see from the screenshot, there is only very limited number
>>>>>> of none zeros. And weirdest of all, they appear at column indices which 
>>>>>> are
>>>>>> probably somewhere in the right hemisphere (seed is in the left).
>>>>>>
>>>>>> Thanks,
>>>>>>
>>>>>> -Maarten
>>>>>>
>>>>>> On Wed, Jul 15, 2015 at 6:20 PM, Glasser, Matthew <
>>>>>> [email protected]> wrote:
>>>>>>
>>>>>>> You should be able to use this file:
>>>>>>>
>>>>>>>
>>>>>>> https://github.com/Washington-University/Pipelines/blob/master/global/templates/91282_Greyordinates/91282_Greyordinates.dscalar.nii
>>>>>>>
>>>>>>> Peace,
>>>>>>>
>>>>>>> Matt.
>>>>>>>
>>>>>>> From: <[email protected]> on behalf of Maarten
>>>>>>> Vaessen <[email protected]>
>>>>>>> Date: Wednesday, July 15, 2015 at 4:44 AM
>>>>>>> To: "[email protected]" <[email protected]>
>>>>>>> Subject: Re: [HCP-Users] tractography
>>>>>>>
>>>>>>> Hello,
>>>>>>>
>>>>>>>
>>>>>>> I followed the guide lines below to create a dense connectome with 
>>>>>>> probtrackx. I was just wondering how to proceed with converting the 
>>>>>>> .dot file from probtrackx to cifti using wb_command 
>>>>>>> -probtrackx-dot-convert (for visualisation in wb_view). Specifically, 
>>>>>>> what cifti file can I use as input for the -row-cifti option? So, what 
>>>>>>> files released with the HCP data contain the correct brainmap?
>>>>>>>
>>>>>>>
>>>>>>> Thx
>>>>>>>
>>>>>>>
>>>>>>> -Maarten
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> _______________________________________________________________
>>>>>>>
>>>>>>> Hi
>>>>>>>
>>>>>>> You need to create such a file that contains the 90k grayordinates. To 
>>>>>>> ensure
>>>>>>> consistency we do that in MNI 2mm space:
>>>>>>>
>>>>>>> - First create surface files in an FSL friendly format. Use the 32k 
>>>>>>> surfaces,
>>>>>>> as the vertices are ~2mm apart.
>>>>>>> Left Surface:
>>>>>>> surf2surf -i
>>>>>>> $Subject/MNINonLinear/fsaverage_LR32k/${Subject}.L.white.32k_fs_LR.surf.gii
>>>>>>>  -o
>>>>>>> white.L.asc --outputtype=ASCII
>>>>>>> --values=$Subject/MNINonLinear/fsaverage_LR32k//${Subject}.L.atlasroi.32k_fs_LR.shape.gii
>>>>>>>
>>>>>>> Right Surface:
>>>>>>> surf2surf -i
>>>>>>> $Subject/MNINonLinear/fsaverage_LR32k/${Subject}.R.white.32k_fs_LR.surf.gii
>>>>>>>  -o
>>>>>>> white.R.asc --outputtype=ASCII
>>>>>>> --values=$Subject/MNINonLinear/fsaverage_LR32k//${Subject}.R.atlasroi.32k_fs_LR.shape.gii
>>>>>>>
>>>>>>> - Then extract the volume subcortical files from e.g.
>>>>>>> $Subject/MNINonLinear/ROIs/Atlas_Rois.2.nii.gz, let’s say as
>>>>>>> CIFTI_Structure_{Name}.nii.gz, using e.g. fslmaths or your favourite 
>>>>>>> tool for
>>>>>>> ROI extraction. You should get 19 of these NIFTI files. (You can 
>>>>>>> obviously use
>>>>>>> your favourite subcortical parcellation here, but if you want 
>>>>>>> consistency with
>>>>>>> the CIFTI standard grayordinates, you need to resample the final 
>>>>>>> results, the
>>>>>>> file above ensures consistency).
>>>>>>>
>>>>>>> - Put all the filenames in a text file in the following sequence, to 
>>>>>>> ensure
>>>>>>> consistency with the rest of the CIFTIs:
>>>>>>>
>>>>>>> white.L.asc
>>>>>>> white.R.asc
>>>>>>> CIFTI_STRUCTURE_ACCUMBENS_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_ACCUMBENS_RIGHT.nii.gz
>>>>>>> CIFTI_STRUCTURE_AMYGDALA_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_AMYGDALA_RIGHT.nii.gz
>>>>>>> CIFTI_STRUCTURE_BRAIN_STEM.nii.gz
>>>>>>> CIFTI_STRUCTURE_CAUDATE_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_CAUDATE_RIGHT.nii.gz
>>>>>>> CIFTI_STRUCTURE_CEREBELLUM_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_CEREBELLUM_RIGHT.nii.gz
>>>>>>> CIFTI_STRUCTURE_DIENCEPHALON_VENTRAL_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_DIENCEPHALON_VENTRAL_RIGHT.nii.gz
>>>>>>> CIFTI_STRUCTURE_HIPPOCAMPUS_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_HIPPOCAMPUS_RIGHT.nii.gz
>>>>>>> CIFTI_STRUCTURE_PALLIDUM_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_PALLIDUM_RIGHT.nii.gz
>>>>>>> CIFTI_STRUCTURE_PUTAMEN_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_PUTAMEN_RIGHT.nii.gz
>>>>>>> CIFTI_STRUCTURE_THALAMUS_LEFT.nii.gz
>>>>>>> CIFTI_STRUCTURE_THALAMUS_RIGHT.nii.gz
>>>>>>>
>>>>>>>
>>>>>>> - You can then use such a file in FSL probtrackx2 as a seed (for 
>>>>>>> Matrix1) or as
>>>>>>> a target3 (for Matrix3). Notice that running a single probtrackx2 
>>>>>>> command with
>>>>>>> all these seed locations and with many samples per location will 
>>>>>>> require huge
>>>>>>> processing power and memory. In practice, we run multiple probtrackx2 in
>>>>>>> parallel, by splitting and parallelising the computation by using the 
>>>>>>> --rseed
>>>>>>> option in probtrackx2 and using a small number of samples --nsamples per
>>>>>>> instance. I.e. instead of running one command, which will attempt to 
>>>>>>> propagate
>>>>>>> 5000 curves per seed, we can run e.g. 100 instances of the above 
>>>>>>> commands,
>>>>>>> using --nsamples=50 and --rseed=i, i=1..100. Results can then be 
>>>>>>> combined using
>>>>>>> fdt_matrix_merge (which however also needs quite a lot of memory to 
>>>>>>> produce the
>>>>>>> final dense connectomes, but at least it is one final process).
>>>>>>>
>>>>>>> - Another approach for parallelisation would be to split the seed 
>>>>>>> locations and
>>>>>>> merge the final matrices. There is no solution that fits all systems, 
>>>>>>> you
>>>>>>> should try and find the best approach depending on your computing 
>>>>>>> resources.
>>>>>>>
>>>>>>> Hope this helps
>>>>>>> Stam
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On 19 May 2015, at 01:01, David R. Haynor 
>>>>>>> <[email protected]<mailto:[email protected] <[email protected]>>>
>>>>>>> wrote:
>>>>>>>
>>>>>>> hi HCP,
>>>>>>>
>>>>>>> we are trying to do tractography using FSL and HCP data.  i have some 
>>>>>>> questions
>>>>>>> -- i suspect they have been answered already, but couldn't find those 
>>>>>>> answers:
>>>>>>>
>>>>>>> 1. is there a file containing the grayordinate coordinates in the 
>>>>>>> diffusion
>>>>>>> space for a particular subject, both subcortical voxels and cortical 
>>>>>>> vertices?
>>>>>>>
>>>>>>> 2. if i want to use some cortical and subcortical voxels from the list 
>>>>>>> of
>>>>>>> grayordinates as targets, do i have to run probtrackx2 twice (i.e. once 
>>>>>>> for the
>>>>>>> cortical surface vertices and once for the subcortical voxels), or can 
>>>>>>> i run it
>>>>>>> just once?
>>>>>>>
>>>>>>> 3. where is the label file for the grayordinate vertices/voxels for a 
>>>>>>> given
>>>>>>> subject?
>>>>>>>
>>>>>>> thanks in advance.
>>>>>>>
>>>>>>> -dh
>>>>>>> _______________________________________________
>>>>>>> HCP-Users mailing 
>>>>>>> [email protected]<mailto:[email protected] 
>>>>>>> <[email protected]>>http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>>>>>>
>>>>>>>
>>>>>>> _______________________________________________
>>>>>>> HCP-Users mailing 
>>>>>>> [email protected]http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>>>>>>
>>>>>>> _______________________________________________
>>>>>>> HCP-Users mailing list
>>>>>>> [email protected]
>>>>>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------
>>>>>>>
>>>>>>> The materials in this message are private and may contain Protected
>>>>>>> Healthcare Information or other information of a sensitive nature. If 
>>>>>>> you
>>>>>>> are not the intended recipient, be advised that any unauthorized use,
>>>>>>> disclosure, copying or the taking of any action in reliance on the 
>>>>>>> contents
>>>>>>> of this information is strictly prohibited. If you have received this 
>>>>>>> email
>>>>>>> in error, please immediately notify the sender via telephone or return 
>>>>>>> mail.
>>>>>>>
>>>>>>
>>>>>>
>>>>>> ------------------------------
>>>>>>
>>>>>> The materials in this message are private and may contain Protected
>>>>>> Healthcare Information or other information of a sensitive nature. If you
>>>>>> are not the intended recipient, be advised that any unauthorized use,
>>>>>> disclosure, copying or the taking of any action in reliance on the 
>>>>>> contents
>>>>>> of this information is strictly prohibited. If you have received this 
>>>>>> email
>>>>>> in error, please immediately notify the sender via telephone or return 
>>>>>> mail.
>>>>>>
>>>>>
>>>>>
>>>>> ------------------------------
>>>>>
>>>>> The materials in this message are private and may contain Protected
>>>>> Healthcare Information or other information of a sensitive nature. If you
>>>>> are not the intended recipient, be advised that any unauthorized use,
>>>>> disclosure, copying or the taking of any action in reliance on the 
>>>>> contents
>>>>> of this information is strictly prohibited. If you have received this 
>>>>> email
>>>>> in error, please immediately notify the sender via telephone or return 
>>>>> mail.
>>>>>
>>>>
>>>>
>>>> ------------------------------
>>>>
>>>> The materials in this message are private and may contain Protected
>>>> Healthcare Information or other information of a sensitive nature. If you
>>>> are not the intended recipient, be advised that any unauthorized use,
>>>> disclosure, copying or the taking of any action in reliance on the contents
>>>> of this information is strictly prohibited. If you have received this email
>>>> in error, please immediately notify the sender via telephone or return 
>>>> mail.
>>>>
>>>
>>>
>>
>> ------------------------------
>>
>> The materials in this message are private and may contain Protected
>> Healthcare Information or other information of a sensitive nature. If you
>> are not the intended recipient, be advised that any unauthorized use,
>> disclosure, copying or the taking of any action in reliance on the contents
>> of this information is strictly prohibited. If you have received this email
>> in error, please immediately notify the sender via telephone or return mail.
>>
>
>
> ------------------------------
>
> The materials in this message are private and may contain Protected
> Healthcare Information or other information of a sensitive nature. If you
> are not the intended recipient, be advised that any unauthorized use,
> disclosure, copying or the taking of any action in reliance on the contents
> of this information is strictly prohibited. If you have received this email
> in error, please immediately notify the sender via telephone or return mail.
>

_______________________________________________
HCP-Users mailing list
[email protected]
http://lists.humanconnectome.org/mailman/listinfo/hcp-users

Reply via email to