Thanks Donna, much obliged.


> On Oct 12, 2016, at 5:09 PM, Dierker, Donna <do...@wustl.edu> wrote:
> 
> Search for MSMSulc here:
> 
> https://github.com/Washington-University/Pipelines/blob/master/PostFreeSurfer/scripts/FreeSurfer2CaretConvertAndRegisterNonlinear.sh
>  
> <https://github.com/Washington-University/Pipelines/blob/master/PostFreeSurfer/scripts/FreeSurfer2CaretConvertAndRegisterNonlinear.sh>
> 
> *refsulc* get copied to subject dir from here:
> 
> https://github.com/Washington-University/Pipelines/tree/7cc0bf1863cbc8a1a7ab9c6dd48a25de9be9bae7/global/templates/standard_mesh_atlases
>  
> <https://github.com/Washington-University/Pipelines/tree/7cc0bf1863cbc8a1a7ab9c6dd48a25de9be9bae7/global/templates/standard_mesh_atlases>
> 
> 
>> On Oct 12, 2016, at 10:53 AM, Jared P Zimmerman <jar...@mail.med.upenn.edu> 
>> wrote:
>> 
>> Thanks Michael, Donna, and Matt,
>> 
>> RE: Michael, definitely aware this is an inferior approach to true 
>> subject-specific parcellation but given that we don’t have the requisite 
>> data to run the classifier this seems like an appropriate approach to use 
>> the parcellation.
>> 
>> RE: Donna and Matt, thanks for the advice, I think using an MSM sulc 
>> approach is something we will definitely want to look into, but looking over 
>> the git repo quickly I don’t see an MSM sulc script.  There’s the MSM all 
>> pipeline, but that seems like it can only use myelin maps, RSNs or 
>> topography and doesn’t have an option for sulcal depth.  Where might I find 
>> an MSM algorithm that can use sulcal depth maps to register?
>> 
>> Thanks,
>> Jared
>> 
>> 
>>> On Oct 12, 2016, at 9:48 AM, Dierker, Donna <do...@wustl.edu> wrote:
>>> 
>>> If you can’t do MSMAll, then consider using just sulc, rather than 
>>> sulc+curv.
>>> 
>>> See figure 4, row B, in Emma Robinson’s paper:
>>> 
>>> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190319/figure/F4/
>>> 
>>> I have heard David describe curvature as capturing more local folding, sulc 
>>> global folding.
>>> In my experience, curvature varies too much across subjects, while sulc 
>>> seems a more reasonable driver for intersubject registration.
>>> 
>>> For intrasubject registration across timepoints, however, curvature is your 
>>> friend.
>>> 
>>> 
>>>> On Oct 11, 2016, at 6:54 PM, Glasser, Matthew <glass...@wustl.edu> wrote:
>>>> 
>>>> Using folding-based alignment won’t be as good as areal-feature-based 
>>>> alignment, but I wouldn’t worry about the alignment being any worse than 
>>>> any other comparison of two studies driven by folding-based alignment.
>>>> 
>>>> Peace,
>>>> 
>>>> Matt.
>>>> 
>>>> From: <hcp-users-boun...@humanconnectome.org> on behalf of Jared P 
>>>> Zimmerman <jar...@mail.med.upenn.edu>
>>>> Date: Tuesday, October 11, 2016 at 3:12 PM
>>>> To: Timothy Coalson <tsc...@mst.edu>
>>>> Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
>>>> Subject: Re: [HCP-Users] Glasser nature atlas
>>>> 
>>>> I have a related question to this.  I’d like to use the parcellation on 
>>>> some more traditional volume data (i.e. 3x3x3mm voxels, 3s TR).  I have 
>>>> made fs_LR surfaces from free surfer using the wb_command shortcuts for 
>>>> it, as in here: 
>>>> https://wiki.humanconnectome.org/download/attachments/63078513/Resampling-FreeSurfer-HCP.pdf?version=1&modificationDate=1472225460934&api=v2
>>>>  but I am missing the registration from subject surface to group average.
>>>> 
>>>> Is this registration, or the validity of the parcellation, dependent on 
>>>> MSMAll or would an MSMSulc registration be effective (enough) here?  The 
>>>> paper and parcellation are clearly based on MSMAll and this was essential 
>>>> in generating parcellation, but since I don’t have the requisite rest data 
>>>> to do an MSMAll register, would an MSMSulc registration be sufficient for 
>>>> ultimately translating back to the subject volume?
>>>> 
>>>> I read the above discussion about a month ago and didn’t see this covered, 
>>>> but I don’t know if that was addressed in the discussion since.
>>>> 
>>>> 
>>>> Tanks,
>>>> Jared
>>>> 
>>>> 
>>>> 
>>>>> On Oct 4, 2016, at 5:45 PM, Timothy Coalson <tsc...@mst.edu> wrote:
>>>>> 
>>>>> Making a "nifti version" isn't a simple conversion, as some lengthy 
>>>>> conversations on this list have elaborated on.
>>>>> 
>>>>> The good news: if you want a single-subject-specific version, that is 
>>>>> possible, using -cifti-separate and -label-to-volume-mapping, using the 
>>>>> subject's own surfaces.
>>>>> 
>>>>> The bad news: if you want it to be a group atlas, the currently popular 
>>>>> volume registration methods aren't good enough at cortical area alignment 
>>>>> to make our parcellation meaningful in a group-average volume space, and 
>>>>> thus we do not recommend making a volumetric version in such a space.  In 
>>>>> the meantime, surface registration avoids several difficulties inherent 
>>>>> to volume registration, and was instrumental in being able to create the 
>>>>> parcellation at all (via alignment of areal features).
>>>>> 
>>>>> For more detailed discussion:
>>>>> 
>>>>> https://www.mail-archive.com/hcp-users@humanconnectome.org/msg03078.html
>>>>> 
>>>>> Tim
>>>>> 
>>>>> 
>>>>> On Tue, Oct 4, 2016 at 9:47 AM, Elam, Jennifer <e...@wustl.edu> wrote:
>>>>>> Hi Peter,
>>>>>> The data for the new parcellation are available in the BALSA database, 
>>>>>> see this thread: 
>>>>>> http://www.mail-archive.com/hcp-users@humanconnectome.org/msg02876.html
>>>>>> 
>>>>>> We recommend using the included Connectome Workbench scene file to 
>>>>>> conveniently view the data in the wb_view part of the software platform. 
>>>>>> Get Connectome Workbench here: 
>>>>>> https://www.humanconnectome.org/software/get-connectome-workbench.html
>>>>>> 
>>>>>> Many of the files are in the CIFTI data format, which has a lot of 
>>>>>> advantages, but if you need NIFTI versions, you can use wb_command 
>>>>>> (distributed as part of Connectome Workbench) to do the conversion.
>>>>>> 
>>>>>> There's lots of help for using wb_command in the HCP-Users mail archive, 
>>>>>> and/or you could post more questions to the list.
>>>>>> 
>>>>>> Best,
>>>>>> Jenn
>>>>>> 
>>>>>> 
>>>>>> Jennifer Elam, Ph.D.
>>>>>> Scientific Outreach, Human Connectome Project
>>>>>> Washington University School of Medicine
>>>>>> Department of Neuroscience, Box 8108
>>>>>> 660 South Euclid Avenue
>>>>>> St. Louis, MO 63110
>>>>>> 314-362-9387
>>>>>> e...@wustl.edu
>>>>>> www.humanconnectome.org
>>>>>> 
>>>>>> 
>>>>>> From:hcp-users-boun...@humanconnectome.org 
>>>>>> <hcp-users-boun...@humanconnectome.org> on behalf of Peter McColgan 
>>>>>> <pmccolga...@qub.ac.uk>
>>>>>> Sent: Tuesday, October 4, 2016 9:29:30 AM
>>>>>> To: hcp-users@humanconnectome.org
>>>>>> Subject: [HCP-Users] Glasser nature atlas
>>>>>> 
>>>>>> 
>>>>>> Dear HCP team,
>>>>>> 
>>>>>> Is it possible to download a nifti version of the Glasser atlas featured 
>>>>>> recently in nature?
>>>>>> 
>>>>>> Thanks
>>>>>> 
>>>>>> bw
>>>>>> 
>>>>>> Peter
>>>>>> _______________________________________________
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>>>>> 
>>>>> _______________________________________________
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