Why are you converting it to the volume? You can load the surf-based file in matlab with ces = MRIread('ces.nii.gz'); You can load the label with labe_read.m (or read_label.m, can't remember)

On 3/22/2020 12:15 PM, Star Xi wrote:

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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! Star

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