And now you want to do an ROI analysis or a map-based analysis of the
subcortical structures? We don't do the latter as that is a VBM analysis.
On 04/08/2016 01:07 PM, Jennifer Legault wrote:
> Apologies for likely using the wrong term. I meant to say that I've
> done the cluster-thresholding for the surface data, using the
> mri_surfcluster command with annot -aparc as an argument.
>
> On Fri, Apr 8, 2016 at 1:03 PM, Douglas N Greve
> <greve@nmr.mgh.harvard.edu> wrote:
>> This is what I don't understand: "done the cluster-thresholding for the aparc data"
>>
>> The aparc data is an ROI and so you should not have (could not have)
>> done clusterwise thresholding (?)
>>
>> On 04/08/2016 12:57 PM, Jennifer Legault wrote:
>>> Hi Doug,
>>>
>>> I'm currently running the LME mass-univariate analysis (I've
>>> previously conducted the LME univariate analyses with ROIs with little
>>> to no problems) and, thanks to your help, have run my data through
>>> this analysis and done the cluster-thresholding for the aparc data but
>>> not the aseg data (since I'm not sure how to cluster-threshold the
>>> segmented data--any advice you have would be greatly appreciated). Is
>>> there a way to view the significant voxels overlaid on the
>>> aseg+aparc.mgz in fsaverage for the whole brain?
>>>
>>> Best,
>>>
>>> Jen
>>>
>>> On Fri, Apr 8, 2016 at 12:36 PM, Douglas N Greve
>>> <greve@nmr.mgh.harvard.edu> wrote:
>>>> On 04/01/2016 04:44 PM, Jennifer Legault wrote:
>>>>> Hi Doug,
>>>>>
>>>>> Thanks for your quick response! When running the LME mass univariate
>>>>> analysis, I am assuming this also includes subcortical structures,
>>>>> correct?
>>>> Which processing are you doing? It should be obvious if you are doing
>>>> surface-based or ROI-based analysis.
>>>>> From my understanding, subcortical areas are segmented as opposed to
>>>>> parcellated. The main thing I want to examine all the regions of the
>>>>> brain that might change over time (as a function of the training task
>>>>> I've given my participants), so I would look at both the aparc and the
>>>>> aseg data, right?
>>>> Yes, you can.
>>>>> Apologies if I've misunderstood your question. For the aseg data, I
>>>>> am currently having trouble with figuring out how to cluster threshold
>>>>> the data (do i use mri_surfcluster with an argument to call the aseg
>>>>> annotation or do I use mri_volcluster?) I would then want to visualize
>>>>> the cluster thresholded data for subcortical structures in freeview.
>>>> If you are doing an ROI analysis then there is no clustering.
>>>>> Optimally, I would like to find some way to look at the whole brain in
>>>>> Freeview to see these regions that have changed as a function of my
>>>>> training task.
>>>> If you have a value for each ROI (segmentation and/or parcellation),
>>>> then you can read in aseg+aparc.mgz in fsaverage (apas =
>>>> MRIread('aparc+aseg.mgz')), then find all the voxels that belong to a
>>>> given ROI and assign them the value for the ROI, then write it out, then
>>>> view the output as an overlay on orig.mgz
>>>>
>>>>> Best,
>>>>>
>>>>> Jen
>>>>>
>>>>> On Fri, Apr 1, 2016 at 11:23 AM, Douglas N Greve
>>>>> <greve@nmr.mgh.harvard.edu <mailto:greve@nmr.mgh.harvard.edu>> wrote:
>>>>>
>>>>> You can put surface data back into the volume with mri_surf2vol (which
>>>>> will also merge left and right into one volume). What do you do
>>>>> with the
>>>>> aseg data?
>>>>>
>>>>> On 04/01/2016 10:46 AM, Jennifer Legault wrote:
>>>>> > Dear Freesurfer Experts,
>>>>> >
>>>>> > I have run my participants' longitudinal sMRI data through the
>>>>> > preprocessing longitudinal pipeline, ran the LME multivariate
>>>>> > analysis, cluster-thresholded the data, and am now trying to
>>>>> visualize
>>>>> > those results in Freeview (for some reason tksurfer is very,
>>>>> very slow
>>>>> > to run on my computer). I am interested in the Fs volume
>>>>> > (thickness*area) measure.
>>>>> >
>>>>> > I noticed in the FsFast Tutorial
>>>>> >
>>>>> <https://surfer.nmr.mgh.harvard.edu/fswiki/FsFastTutorialV5.1/FsFastGroupLevel>,
>>>>> > that all the corrected results were able to be merged into one file
>>>>> > using the vlrmerge command. In the beginning of the tutorial, it
>>>>> > states that fMRI and structuraI group analyses run similarly. /
>>>>> I was
>>>>> > therefore wondering if I can use the vlrmerge command (or some similar
>>>>> > command) for my LME data, such that I can view the following
>>>>> > information all in one file: both hemispheres, aparc and aseg.
>>>>> > / Currently I can only view the aparc results for each of the
>>>>> > hemispheres separately (and I haven't found a way to visualize the
>>>>> > aseg data).
>>>>> >
>>>>> > Thank you for taking the time to read this email.
>>>>> >
>>>>> > Best,
>>>>> >
>>>>> > Jennifer Legault
>>>>> > Ph.D candidate, Neuroscience
>>>>> > Brain, Language, and Computation Lab
>>>>> > The Pennsylvania State University
>>>>> >
>>>>> >
>>>>> > _______________________________________________
>>>>> > Freesurfer mailing list
>>>>> > Freesurfer@nmr.mgh.harvard.edu
>>>>> <mailto:Freesurfer@nmr.mgh.harvard.edu>
>>>>> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>>>>
>>>>> --
>>>>> Douglas N. Greve, Ph.D.
>>>>> MGH-NMR Center
>>>>> greve@nmr.mgh.harvard.edu <mailto:greve@nmr.mgh.harvard.edu>
>>>>> Phone Number: 617-724-2358 <tel:617-724-2358>
>>>>> Fax: 617-726-7422 <tel:617-726-7422>
>>>>>
>>>>> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>>>>> <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
>>>>> FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
>>>>> www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>>>>> <http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html>
>>>>> Outgoing:
>>>>> ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
>>>>>
>>>>> _______________________________________________
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>>>>>
>>>>>
>>>>> The information in this e-mail is intended only for the person to
>>>>> whom it is
>>>>> addressed. If you believe this e-mail was sent to you in error and
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>>>>> contains patient information, please contact the Partners
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>>>>>
>>>>>
>>>>> --
>>>>> Jennifer Legault
>>>>> Ph.D candidate, Neuroscience
>>>>> Brain, Language, and Computation Lab
>>>>> The Pennsylvania State University
>>>>>
>>>>>
>>>>> _______________________________________________
>>>>> Freesurfer mailing list
>>>>> Freesurfer@nmr.mgh.harvard.edu
>>>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>>> --
>>>> Douglas N. Greve, Ph.D.
>>>> MGH-NMR Center
>>>> greve@nmr.mgh.harvard.edu
>>>> Phone Number: 617-724-2358
>>>> Fax: 617-726-7422
>>>>
>>>> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>>>> FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
>>>> www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>>>> Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
>>>>
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>>>> Freesurfer mailing list
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>>>
>> --
>> Douglas N. Greve, Ph.D.
>> MGH-NMR Center
>> greve@nmr.mgh.harvard.edu
>> Phone Number: 617-724-2358
>> Fax: 617-726-7422
>>
>> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>> FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
>> www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>> Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
>>
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>
>
--
Douglas N. Greve, Ph.D.
MGH-NMR Center
greve@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422
Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
www.nmr.mgh.harvard.edu/facility/filedrop/index.html
Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
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