Hi Yoon
Yes, you can also analyze area that way.
Best, Martin
On 08/30/2013 04:47 PM, Chung, Yoonho
wrote:
Thanks Martin!. I have another quick question.
I am also interested in looking at developmental changes in the brain during
adolescence period in normal subjects and also comparing our controls to our
clinical cohort. Examples in the longitudinal processing stream tutorial have
only mentioned volume and thickness, so I was wondering if area is also
something we could include in our analyses. I successfully generated rate of
change, spc, pc1 etc .mgz files in the post processing stage using
'long_mris_slopes' using '--meas area', but I just wanted to make sure if rate
of change in surface area using freesurfer longitudinal stream and also the corresponding significance maps using tksurfer is something we can report in our manuscript. I haven't found any papers reporting changes in the
surface area using fs long stream so I was wondering if this measure is good to
go or if it is something that is still work in progress. Thanks for your help!
Cheers,
Yoon
Hi Yoon,
I usually run mri_glmfit directly and then look at the gamma
map (that is the average if you ran a one sample group mean
analysis, which is what you did, I think).
qdec is just a wrapper around glmfit so the file should be
there, I am not sure if qdec can visualize it directly? (am
not too familiar with that tool). Maybe someone else knows as
this is the same for any analysis run via qdec (I cc'ed Nick
who probably knows more).
If qdec cannot do it, you can probably find the gamma.mgh file
in the glm/constrast subdirectory and then open it with
tksurfer.
Best, Martin
On 08/30/2013 02:16 PM, Chung, Yoonho wrote:
Dear Freesurfers,
Is there a way to visualize average absolute symmetrized
percent thickness/volume/area change (not significance map)
using qdec or tksurfer or other freesurfer tools?
I successfully generated correlation significance map using
qdec for the longitudinal data we processed, but I am also
interested in looking at just simple average across all
subjects. Thanks so much!
Cheers,
Yoon
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