Hi all,
So I have a learning experiment with 1 group and 8 blocks of data per subj. I want to find areas with activation changes across learning (so either an increase or decrease across the 8 blocks) and I also want to regress out a covariate which is spatial accuracy, which decreases as learning occurs.
My understanding was that 3dLME was better suited than 3dRegAna for that. I'd like to know a bit more what to do and what will; be outputted. What I would like are Regressions coefficients of the linear fit like 3dRegAna outputs.
Does my script allows me to get these coefficients?
Here's my model.txt file. Cond: 8 learning blocks, Error : covariate
Data:Volume
Output:LME_results
MASK:gr_15subj_mask+tlrc.BRIK
Model:Cond*Error
COV:Error
RanEff:TRUE
VarStr:0
CorStr:0
SS:sequential
Cond*Error
Subj Cond Error InputFile
s1 A1 3.0281 s1_decon_20_NoRd_A1+tlrc.BRIK
...
s1 A8 0.29057 s1_decon_20_NoRd_A2+tlrc.BRIK
...
s15 A8 0.329057 s1_decon_20_NoRd_A2+tlrc.BRIK