Dear TBSS/randomise Users,
We have a 1 group design (n=76) and would like to use a cognitive score to
predict FA in the TBSS maps. We also have two confound EVs (age & biomarker
data). The EVs have been demeaned. Our goal is to evaluate the relationship
between cognition and FA while regressing out the age and biomarker data. I
would greatly appreciate if someone experienced with creating design and
contrast matrices could examine our approach and provide some feedback. In
other words, do our goals and matrices match up appropriately. I am
suspicious that I did something wrong or am not understanding the approach
correctly. We have used the following command (machine = intel mac 10.4.10,
8 core; most recent version of FSL):
randomise -i all_FA_skeletonised -o pat-globalNP-2 -m mean_FA_skeleton_mask
-D -d design.mat -x confounds.mat -t design.con -n 5000 -c 2 -V
**********
design.mat
**********
/NumWaves 1
/NumPoints 76
/PPheights 1 1
/Matrix
48.4666667
49.1333333
47.1333333
43.4
.
.
.
***********
*************
confounds.mat
*************
/NumWaves 2
/NumPoints 76
/PPheights 1 1
/Matrix
42 12.2474487
41 4.24264069
43 13.4164079
40 8.60232527
43 13.0384048
50 14.1421356
.
.
.
**************
**********
design.con
**********
/NumWaves 1
/NumContrasts 2
/PPheights 1 1
/Matrix
1
-1
***********
Thank you for your valuable time.
Brian
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