It looks right. Make sure that you have specified "self" when you run 
mkanalysis-sess to make sure the analysis is on the subject's own 
anatomy where you have MT defined
doug

On 04/20/2014 08:35 AM, Reza Rajimehr wrote:
> Hi,
>
> For my dataset, it appears to be easier to do an ROI analysis in Matlab
> (instead of using funcroi commands). I just want to make sure the
> procedure described below is right:
>
> 1) I have a label/ROI on the right hemisphere surface of a subject (e.g.
> MT from the motion localizer). I convert it to a mask file
> (MT.mask.nii.gz). I load it to Matlab using MRIread.
>
> In an fMRI experiment, I have 3 conditions. For the right hemisphere
> vertices of the subject, I compute cespct.nii.gz for the contrasts of each
> condition vs. baseline (1_vs_0 , 2_vs_0 , 3_vs_0). Then I load the three
> cespct files to Matlab using MRIread.
>
> 3) For the vertices that are 1 in the MT.mask.nii.gz, I calculate the
> averaged cespct across those vertices, in each contrast. So I will have %
> signal change values for the three conditions.
>
> 4) I repeat this for all subjects and do statistics across subjects.
>
> Any comments?
>
> Reza
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>

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