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Thanks.

On Tue, Oct 15, 2019 at 5:00 PM Greve, Douglas N.,Ph.D. <
dgr...@mgh.harvard.edu> wrote:

> Correct
>
> On 10/15/2019 9:38 AM, Keri Woods wrote:
>
>         External Email - Use Caution
> Hi Doug
>
> Thank you very much for the very helpful reply! It worked perfectly and
> was exactly what I needed. I assume that these are the clusters after
> cluster-level correction for multiple comparison since --csd is used?
>
> Thanks,
> Keri
>
> On Tue, Oct 15, 2019 at 4:17 AM Greve, Douglas N.,Ph.D. <
> dgr...@mgh.harvard.edu> wrote:
>
>> Sorry for the delay ...
>>
>> First, run selxavg3-sess with -fwhm ( you might need to delete the
>> bold/analysis folder to get it to re-run).
>>
>> cd session/bold/analyis
>> There will be a filed called fwhm.dat. Look in that. Depending upon how
>> much you smoothed it might be something like 10.395. This is the FWHM in
>> mm. Next, you can run something like the following command
>>
>> mri_surfcluster --in contrast/sig.nii.gz --hemi lh --csd
>> $FREESURFER_HOME/average/mult-comp-cor/fsaverage/lh/cortex/fwhmXX/abs/thTT/mc-z.cdf
>> --mask mask.nii.gz --sum contrast.sum.dat --oannot ./lh.contrast.annot
>> --thmin T --sign abs --subject fsaverage --cwpvalthresh .05
>>
>> Note that the subject must be fsaverage because the tables were computed
>> with fsaverage. Above, fwhmXX would be fwhm11 (because the FWHM is 10.395,
>> but round up to 11). TT refers to the cluster forming threshold (eg, p<.001
>> would be 30), and so --thmin T would be 3. "abs" in the path to the CSD
>> file indicates that you want to use an unsigned (absolute) value; you can
>> also use pos and neg. --cwpvalthresh .05 means to filter out any clusters
>> that are not significant at p=0.05. The cluster table will be in
>> contrast.sum.dat
>>
>> doug
>>
>>
>> On 10/3/2019 7:52 AM, Keri Woods wrote:
>>
>>         External Email - Use Caution
>> Hi
>>
>> From the 1st level analysis of an fMRI study I'm trying to extract the
>> size of the clusters of activation from each subject, but don't know how to
>> go about this. I know that for the group analysis you can get the cluster
>> sizes from the output from mri_glm-sim. Is there a way to run the multiple
>> comparison correction on the first level analysis in order to get this
>> table? Or is there another way of getting the cluster sizes?
>>
>> Any help would be much appreciated.
>>
>> Thank you,
>> Keri
>>
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