With your current model specification:

> -model 'Ext_t*ageatvisit*correct+reward+meanmotion' \

do you really want the interaction between Ext_t and ageatvisit? Such an interaction can be modeled, but it would be a little tricky to set it up. I would start with a simpler model:

> -model 'correct*reward+Ext_t+ageatvisit+meanmotion' \

Unless you have missing data, it would be better to use 3dMVM by replacing

3dLME -overwrite -prefix ../ncanda_scripts/ncanda_3dlme_output/3dlme_output_extxagexcor_continuous.nii.gz \
-mask gm_50mask+tlrc \
-model 'Ext_t*ageatvisit*correct+reward+meanmotion' \
-qVars "Ext_t,ageatvisit,meanmotion" \
-ranEff '~1' \
-jobs 8 \
-SS_type 3 \

with

3dMVM -overwrite -prefix ../ncanda_scripts/ncanda_3dlme_output/3dlme_output_extxagexcor_continuous.nii.gz \
-mask gm_50mask+tlrc \
-bwVars 'Ext_t+ageatvisit+meanmotion' \
-wsVars 'correct*reward' \
-qVars "Ext_t,ageatvisit,meanmotion" \
-jobs 8 \

Also, do those three quantitative variables (ageatvisit, ext_t, meanmotion) differ substantially across the levels of those two within-subject factors?

Gang



Edited 1 time(s). Last edit at 05/29/2018 02:47PM by Gang.