Hi FS experts,

I’m processing the task related fMRI data and want to extract the 100 most strongly activated voxels with in each of the visual areas (like V1-V3, V3A, MT etc.). It seems to I need to do the ROI analysis using matlab.

I meet some problems when convert files from surface space to volume space.

Here’s my procedures:

1. For each individual, convert cespct.nii to volume space (individual space)

mri_vol2vol —mov ces.nii.gz --reg sub/bold/register.lta --fstarg --interp nearest --o cespct.anat.nii (dimension 256*256*256)

However, when I use MRIread to import the file, I find the values in cespct.anat.nii are all 0.

2. convert label to volume space (individual space)

I want to convert label to the individual space (mri_label2label --outmask) and then convert it to volume space (mri_vol2vol).

mri_label2label --srclabel lh.V3A.label --srcsubject fsaverage --trglabel lh.v3a.sub.label --trgsubject sub --regmethod surface --hemi lh --outmask lh.v3a.sub.nii

mri_info lh.v3a.sub.nii (dimension is 144775x1x1, not 163842x1x1)

I’m wondering how can I have a mask in subject’s anatomy space using a label ?

Is there anything wrong during the transformation?

Any suggestions will be appreciated !

THANK YOU!

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