Dear all,
I have a question that I can imagine two potential ways of answering it, and
while I am comfortable with how to implement it the first way, I would like
to know if there is a practical way to implement it the second way (in fsl).
The question is:
- If one wants to residualize brain activation associated with condition A,
from brain activation associated in condition B...
1) In a ROI approach, I assume one can extract parameter estimates
associated with BOLD changes due to condition A (cope1), similarly for
condition B(cope2), and regress cope1 on cope2 using a statistical program
while saving the residuals of this regression;
2) But what about in a voxel-wise GLM approach in fsl, where both conditions
A and B are EVs in the model? Is there a practical way where fsl can
save/output the residuals that remain after accounting for the variance
associated with condition A, so that I could look at the variance B
accounts for once variance due to A has been removed?
Thanks much for any suggestions!
Regina
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