Dear Anderson and co.,
I would like to calculate the correlation between two metrics on the
surface (cortical thickness difference from a before-after style study vs.
dose / vertex), while accounting for gender and age, but I'm having some
difficulties. This is my current setup:
palm -i ct.csv... %327684 (vertices) x19 (subjects) is the format, but
later I use -transposedata so it should be ok as (rows = subjects, columns
= vertices)
-d design.mat... % 4 EVs: EV1 ones; EV2: gender (-1 for female, +1 for
male); EV3 is age ; EV4 is the dummy for the datawise/vertexwise
correlation
-t design.con... %
c1:0 0 0 1
c2:0 0 0 -1
-evperdat dose.csv 4 1...% 327684x19 is the format, same as -i
-o results... %the rest is kinda 'trivial'
-corrcon...
-saveglm...
-logp...
-accel tail...
-transposedata...
-s mesh.central.freesurfer.gii 1...
-T...
-tfce2D
When checking the intermediate files, I can see that nearly all of the
cohen's ds are just 0s, which doesn't make much sense. Even without having
the EV2 and EV3.
The above command runs smoothly, but I'm afraid I made a mistake somewhere.
Best,
Szabolcs
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