You can subtract .5 from the volume (fscalc vol.mgh sub .5 -o
vol-minus.5.mgh), then do a one-sample group mean (--osgm). You should
do a permutation test to correct for multiple comparisons because the
residuals definitely won't be Gaussian.
doug
On 10/1/12 9:11 PM, Maryam Vaziri Pashkam wrote:
Its one value per voxel per subject. So there is variane across
subjects. and I want to see weather that value is different from 0.5
instead of 0.
Maryam
On Mon, Oct 1, 2012 at 8:54 PM, Douglas Greve
<gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
So it is only one volume? This won't work with mri_glmfit. glmfit
needs to have a value for each subject so that it can compute the
variance across subjects (needed to infer whether a difference
from 0 is significant). I don't know of any software that will do it.
doug
On 10/1/12 6:59 PM, Maryam Vaziri Pashkam wrote:
Hi Doug,
The output of the analysis is a volume with performance values in
each voxel. the performance ranges between 0 to 1 and I want to
see if across subjects there is any region with above chance
performance (Chance is 0.5).
Maryam
On Mon, Oct 1, 2012 at 6:10 PM, Douglas N Greve
<gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
Hi Maryam, I must confess ignorance on search-light analysis.
Can you give me more background on what it is, the output
data, and what you want mri_glmfit to tell you?
doug
On 09/30/2012 09:46 PM, Maryam Vaziri Pashkam wrote:
Hi Dough,
I have run a searchlight analysis on 10 subjects and
want to run a random effects analysis with mri_glmfit
across subject. I have the results of each subject
projected on the fsaverage surface. But I have no idea
how to make it to
1) compare the values in each voxel with 0.5 instead of 0
2) how to make it ignore the fact that I dont have
variance for each subject and only have a single
performance value (support vector machine performance)
for each voxel (it looks like the mri_glmfit needs a
ces.var.nii)
Any idea how I can do this? Sorry if this is a rookie
question. I am totally new to searchlight and random
effects analysis in fsfast.
Thanks,
Maryam
--
Douglas N. Greve, Ph.D.
MGH-NMR Center
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