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Hi based on the calculated r value you can use the Fisher r-to-z transform. Use the resel count from smoothest to get an estimate of what the spatial degrees-of-freedom are, then plug this into the transform to get the right Z value. Then use p= 1-normcdf(z) to get the p value for a single map. If it's a fishing expediciton then also correct (Bonferroni) for the total number of comparisons. hth Christian On Feb 9, 2012, at 16:57 , Jon Brock wrote: > Hi, > > I read the following in the 2009 PNAS paper - "The networks were paired automatically by using spatial cross-correlation, with mean r = 0.53 (0.25:0.79); the weakest of these correlations thus has a significance of P < 10−5 (corrected). " > > I wondered how the P value was calculated and if there are guidelines as to what r value would reflect a good correspondence between an 'in house' RSN and the PNAS maps ? > > Cheers