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Dear Colin,
Thank you for reply.
Other problem concerned with this is, I want my data in native space. So will normalization be an efficient step  since it aligns with MNI template
My objective is to correlate fMRI and MRS data.
For my MRS data, I'm using a voxel size of 20*20*15 mm  (ROI based).
So I want the individual fmri data to be in native space.

Any suggestion would be greatly appreciated.



On Thu, May 1, 2014 at 7:15 PM, Colin Hawco <[log in to unmask]> wrote:
While I can't tell you exactly how to do this, one option might be to try a hack using normalize(write). Specify a bounding box within your ROI (which then needs to be square), enter your new voxel size, and input a transformation matrix (parameter file) which will result in no transform being applied to the data. 

Good luck. 

Colin


On 1 May 2014 01:14, Amy R <[log in to unmask]> wrote:
Dear SPMers,

For my fmri protocol, I use a voxel size of 2*2*6 mm.
In the preprocessing step, is there any way to modify the voxel size to 20*20*15 mm (only at a particular ROI)?
Please let me to know about this.

Thanks in advance.