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Hello all, I am performing a vbm analysis of a patient group. There is one image per subject and all images were entered into a single design matrix. The control scans were entered as a single condition, but each patient was entered into the analysis as their own condition. In addition to allowing a comparison of the control group with the patient group, each patient can be compared with the control group. The results make sense, but I'm not sure how to interepret the t-values and p-values that result from this analysis, because the patient 'group' in such an analysis is actually only one image, thus the variance in that condition can't really be measured. What, exactly does the program do in this instance, and are the resulting t and p-values accurate? Thanks Howard Rosen UCSF Department of Neurology Memory and Aging Center 350 Parnassus Ave., Suite 800, Box 1207 San Francisco, CA 94143 Phone: 415-476-6880 Fax: 415-476-4800 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%