Hi Gang,
Thank you for your quick and very helpful reply!
As you suggested, I have changed the model and centred 'Time_dif' within each visit, before running the model on 10 subjects
However I am still running into problems and am unsure what I'm doing wrong -
My model specification now reads:
3dLME -prefix LME_fMRI_fsl -jobs 2 \
-model 'Visit*Time_dif+Base_DD+Base_Age' \
-qVars 'Time_dif,Base_DD,Base_Age' \
-num_glt 3 \
-gltLabel 1 'Visit_1_2' -gltCode 1 'Visit : 1*v1 -1*v2' \
-gltLabel 2 'Visit_2_3' -gltCode 2 'Visit : 1*v2 -1*v3' \
-gltLabel 3 'Effect_of_time' -gltCode 3 'Time_dif :' \
-ranEff '~1+Time_dif' -SS_type 3 \
-dbgArgs \
-dataTable @10_subs.txt
And the data table :
Subj Visit Time_dif Base_DD Base_Age InputFile \
s01 v1 0 4.71 56.15 /media/nhannawa/NIU3/Motor_task_TRANSEURO_FSL/PD_V1/001_V1/1_run_Naomi.feat/reg_standard/stats/cope8.nii.gz \
s01 v1 0 4.71 56.15 /media/nhannawa/NIU3/Motor_task_TRANSEURO_FSL/PD_V1/001_V1/2_run_Naomi.feat/reg_standard/stats/cope8.nii.gz \
s01 v2 -9.5 4.71 56.15 /media/nhannawa/NIU3/Motor_task_TRANSEURO_FSL/PD_V2/001_V2/1_run_Naomi++.feat/reg_standard/stats/cope8.nii.gz \
s01 v2 -9.5 4.71 56.15 /media/nhannawa/NIU3/Motor_task_TRANSEURO_FSL/PD_V2/001_V2/2_run_Naomi+.feat/reg_standard/stats/cope8.nii.gz \
s01 v3 -85.1 4.71 56.15 /media/nhannawa/NIU3/Motor_task_TRANSEURO_FSL/PD_V3/001_V3/1_run_Naomi.feat/reg_standard/stats/cope8.nii.gz \
...
s14 v2 -79.5 2.82 50.22 /media/nhannawa/NIU3/Motor_task_TRANSEURO_FSL/PD_V2/014_V2/2_run_Naomi.feat/reg_standard/stats/cope8.nii.gz \
s14 v3 -179.1 2.82 50.22 /media/nhannawa/NIU3/Motor_task_TRANSEURO_FSL/PD_V3/014_V3/1_run_Naomi+++.feat/reg_standard/stats/cope8.nii.gz \
s14 v3 -179.1 2.82 50.22 /media/nhannawa/NIU3/Motor_task_TRANSEURO_FSL/PD_V3/014_V3/2_run_Naomi++.feat/reg_standard/stats/cope8.nii.gz
I also checked the both the specification and table using the file tool, which showed no problems:
file_tool -infiles test.txt -test
test.txt has 0 bad characters
test.txt file type: UNIX
Any ideas what the remaining problem might be?
Thanks again,
Naomi
