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I have been attempting to use fsl_sbca to perform seed based correlation analysis. If I run the following command fsl_sbca -i Input_Data.nii -s seed_mask.nii -t Input_Data.nii -o Correlation -r -mean Then the resulting file Correlation_corr.nii has the same number of volumes as the number of voxels in my seed region, could you clarify what each of these volumes represents. I thought that by using -mean I would get only a single volume representing the correlation of each voxel in the brain with the average timeseries from the seed mask region. Best Wishes Stephen Wastling