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 _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
