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Dear all, I'm in the process of switching from SPM2 to SPM8, and I'm seeking help to explain differences in the results I get when I process the same (individual subject) dataset with both suites. I'm using a high-res EPI sequence (22 slices, voxel size = 2x2x2 mm, TR = 2000 ms, TE = 40 ms) with a limited FOV (I only capture the upper half of the brain) and the following preprocessing algorithms and parameters: Slice Timing (TR = 2, TA = 1.909, # slices = 22, slice order = [2:2:22 1:2:22], ref slice = 11) Realign and unwarp (defaults) Smoothing (4.708 FWHM) (No coregistration, normalization, or segmentation) However, when I use the same data to set up and estimate the 1st-level model (I don't use 2nd level-all my analysis is within-subject), I get totally different activation maps in the results for SPM8 compared to SPM2, even when using the exact same p value and cluster size thresholds. Can someone help me to understand why this is and/or what I may be doing wrong? Thanks so much for your help in advance! -Elyse