Hello, 

Q1. I'm running metaregressions within a single study (as opposed to a case control study comparing 2 groups - this is in the AES tutorial). The output images for the metaregressions are '_0' (differences between group 1 with minimum variable value and group 2); '_1' (differences between group 1 with maximum variable value and group 2), and '_1m0' (differences between group 1 with maximum variable value and group 1 with minimum variable value). How do I interpret these maps (_1,_0,_1m0) when only one group is being examined, as opposed to two?

At the moment, using just one group, I am interpreting _1m0 is the regions more active during higher value of the variable, vs lower values of the variable (within the same group) - is this correct? 

Q2. Can I run metaregressions on a categorrical variable? (I have the values in the sdm table as 1's and 0's to indicate the presence/absence of a categorical variable, and then I add that column as a regressor). Is there a better way to test the impact of categorical variables? 

Any help/input from anyone would be greatly appreciated - including references to relevant materials so that I ca read more up on this! 
Thanks. 

Best, 
Molly