Dear Donald,
Thanks for your answer. When I defined the image space for my ROI, I used the same space as the 'mask' file in my 2nd-level analysis, which I expect should be in MNI space? I am extracting values from 1st-level beta maps. Given 1st-level is carried out after normalization, I expect the beta maps should be in MNI space too? Using the spm_read_vols function I get N coordinate values which also matched the size of the activation clusters from which the ROI was extracted. When I used display to check the ROI and the 1st-level beta map, they are of the same dimension too (61 * 73 * 61).
Can I then safely conclude they are in the same space? Or is there a way that I can directly check which space they are in?
Thanks again.
Robin
Date: Mon, 19 Oct 2015 23:37:12 -0400
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[log in to unmask]Subject: Re: [SPM] Statistical map value extration
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[log in to unmask]This will only work if the ROI image and data are in the same space. If they are not in the same space, then it will not work.