Oh, right, it is probably not there for subcortical. I don't know what I 
would have to do to write it out. It won't be something that happens 
before I get back from HBM. Can you remind me after HBM?
doug

On 05/31/2013 04:44 PM, Joseph Dien wrote:
> It looks like the corrected vertex p-values 
> (ex: cache.th13.abs.sig.voxel.nii.gz) are only available for the 
> surface-based lh and rh spaces.  For the subcortical volume-based 
> analysis I don't see the corresponding corrected voxel p-values being 
> available?
>
> On May 31, 2013, at 2:46 PM, Joseph Dien <jdie...@mac.com 
> <mailto:jdie...@mac.com>> wrote:
>
>>
>> On May 31, 2013, at 12:11 PM, Douglas N Greve 
>> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>>
>>>
>>> On 05/31/2013 01:49 AM, Joseph Dien wrote:
>>>> I was able to make more progress so I'm mostly good at this point but
>>>> I have a remaining question:
>>>>
>>>> I assume the contents of sig.nii.gz (which I assume are the vertex
>>>> p-values) are not FWE corrected.  Is it possible to get FWE-corrected
>>>> vertex p-values?  Or are only clusterwise corrections available?
>>> There should be something like cache.th13.abs.sig.voxel.mgh which is
>>> corrected on a voxelwise basis (the th13 is just part of the name 
>>> but it
>>> should be the same regardless of the threshold you choose)
>>> doug
>>
>> Excellent!  Thanks!  :)
>>
>>>>
>>>> Thanks again for your patience!
>>>>
>>>> Joe
>>>>
>>>> On May 30, 2013, at 4:37 PM, Joseph Dien <jdie...@mac.com 
>>>> <mailto:jdie...@mac.com>
>>>> <mailto:jdie...@mac.com>> wrote:
>>>>
>>>>> Just to make sure I'm doing this right, I'm going to summarize what
>>>>> I've taken away from your answers and to ask some new questions. In
>>>>> order to present the results, I need two things:
>>>>>
>>>>> 1) A set of histograms (with error bars) for each cluster figure to
>>>>> show the % signal change for each of the four contrasts of interest.
>>>>> The cache.th20.pos.y.ocn.dat file only gives it for the condition
>>>>> where the cluster was significant so I can't use that.
>>>>> So I could use mri_label2vol to convert cache.th20.neg.sig.ocn.annot
>>>>> from the group level analysis to generate a mask for each cluster of
>>>>> interest.
>>>>> Then I could extract the value of the voxels from each
>>>>> subject's cespct file for each contrast, average them across the
>>>>> cluster ROI, then average them across each subject, to generate the
>>>>> histogram?
>>>>> This would suffice to give me the %age signal change?
>>>>> I would be doing these computations in Matlab using MRIread.
>>>>>
>>>>> 2) A results table with the headings:
>>>>>
>>>>> Cluster p (FWE corrected)
>>>>> Cluster size
>>>>> Peak Voxel p (FWE corrected)
>>>>> Peak Voxel T
>>>>> Peak Voxel Coords
>>>>> BA
>>>>> Anatomical Landmark
>>>>>
>>>>> I can get the first two from
>>>>> the cache.th20.pos/neg.sig.cluster.summary files from the group level
>>>>> analysis.
>>>>> I can get the peak voxel coordinates from the summary files as well.
>>>>> I can use this to get the peak voxel p from the group
>>>>> level sig.nii.gz file.  Is this FWE corrected?  If not, how can I get
>>>>> this information?
>>>>> I can use these coordinates to get the peak voxel T by getting the
>>>>> value from the group level F.nii.gz file and taking its square root.
>>>>> How can I get the sign of the T statistic?
>>>>> I can use the Lancaster transform to convert the MNI305 peak voxel
>>>>> coordinates into the Atlas coordinates to look up the putative BA and
>>>>> landmarks (unless there is a better way with Freesurfer?  I'm seeing
>>>>> some references to some BA labels in the forum but it doesn't look
>>>>> like this is a complete set yet?).
>>>>>
>>>>> Sorry for all these questions!  I got some nice results from FSFAST
>>>>> and would like to get them written up.
>>>>>
>>>>> Cheers!
>>>>>
>>>>> Joe
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> On May 29, 2013, at 10:53 PM, Douglas Greve
>>>>> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu> 
>>>>> <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>>>>>
>>>>>>
>>>>>> On 5/29/13 10:42 PM, Joseph Dien wrote:
>>>>>>>
>>>>>>> On May 29, 2013, at 11:40 AM, Douglas N Greve
>>>>>>> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu> 
>>>>>>> <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>>>>>>>
>>>>>>>> Hi Joe,
>>>>>>>>
>>>>>>>> On 05/29/2013 01:00 AM, Joseph Dien wrote:
>>>>>>>>> I need to extract the beta weights from a cluster identified with
>>>>>>>>> FS-Fast in order to compute percentage signal change.
>>>>>>>>>
>>>>>>>>> 1) I see a file called beta.nii.gz that appears to have the beta
>>>>>>>>> weight information.  It has a four dimensional structure and the
>>>>>>>>> fourth dimension appears to be the beta weights.  Is there an 
>>>>>>>>> index
>>>>>>>>> somewhere as to which beta weight is which?  Or if not, how 
>>>>>>>>> are they
>>>>>>>>> organized?
>>>>>>>> For the first level analysis, the first N beta weights correspond
>>>>>>>> to the
>>>>>>>> N conditions in the paradigm file. The rest are nuisance variables.
>>>>>>>>>
>>>>>>>
>>>>>>> Ah, very good!  In order to compute the percent signal change
>>>>>>> statistic (I'm following the MarsBaR approach:
>>>>>>> http://marsbar.sourceforge.net/faq.html#how-is-the-percent-signal-change-calculated)
>>>>>>>  
>>>>>>>
>>>>>>> I'm also going to need the beta weights for the session mean
>>>>>>> regressors.  How are the nuisance regressors organized?
>>>>>> You can just use the meanfunc.nii.gz. Also, each contrasts is
>>>>>> computed as the simple contrast (ces) and as a percent of the
>>>>>> baseline at the voxel (cespct, cesvarpct).
>>>>>>>
>>>>>>>>> 2) In order to extract the cluster, it looks like I would
>>>>>>>>> use mri_label2vol to convert cache.th20.neg.sig.ocn.annot into a
>>>>>>>>> volume where the voxels are tagged with the number of the
>>>>>>>>> corresponding cluster.
>>>>>>>> Is that  from a group analysis?
>>>>>>>>>
>>>>>>>
>>>>>>> Yes, that's right.
>>>>>>>
>>>>>>>>> I could then use that to generate masks to extract the 
>>>>>>>>> information I
>>>>>>>>> need for each cluster from beta.nii.gz.
>>>>>>>> If this is from a group analysis, then there should already be 
>>>>>>>> a file
>>>>>>>> there (something.y.ocn.dat) that has a value for each subject 
>>>>>>>> in the
>>>>>>>> rows and a value for each cluster in the columns.
>>>>>>>>>
>>>>>>>
>>>>>>> I see it.  Are these values already scaled as percent signal
>>>>>>> change?  If so, that would be wonderful!  :)
>>>>>> Only if you specified it when you ran isxconcat-sess. Note that the
>>>>>> "non-scaled" values are actually scaled to percent of grand mean
>>>>>> intensity.
>>>>>>>
>>>>>>>>> Is that correct?
>>>>>>>>>
>>>>>>>>> 3) The final information that I would need is the canonical hrf
>>>>>>>>> shape
>>>>>>>>> generated by FSFAST for a single event.  I guess I could generate
>>>>>>>>> that
>>>>>>>>> by setting up a dummy analysis run with a single event of the
>>>>>>>>> desired
>>>>>>>>> duration and then look in the X variable in the resulting 
>>>>>>>>> X.mat file?
>>>>>>>> try this
>>>>>>>> plot(X.runflac(1).flac.ev(2).tirf, X.runflac(1).flac.ev(2).Xirf)
>>>>>>>>>
>>>>>>>
>>>>>>> Perfect!  :)
>>>>>>>
>>>>>>>>> Sorry for all the questions!
>>>>>>>>>
>>>>>>>>> Joe
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>
>
>
>
>
>
>
>
>
>
>

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@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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