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 w
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 wrote:
>
> So it is only one volume? This won't work with mri_glmfit. glmfit needs to
> have a
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,
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
wrote:
> Hi
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
