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December 07, 2017 03:58PM
Hi, Gang,

If I understood correctly, for the 3dMEMA:
-set SETNAME \
SUBJ_1 BETA_DSET T_DSET \
SUBJ_2 BETA_DSET T_DSET \
... ... ... \
SUBJ_N BETA_DSET T_DSET \


Each data pairs (SUBJ_1 BETA_DSET T_DSET) is for one subject, and then a group analysis (between-subject variability and have a random effect will be modeled) was performed. This method will also take into account of within-subject variability and make the group analysis better.


However, for my case, I only have one subject and there is no between-subject variability. If I put the data as above:
-set SETNAME \
Session_1 BETA_DSET T_DSET \
Session_2 BETA_DSET T_DSET \
... ... ... \
Session_N BETA_DSET T_DSET \

The 3dMEMA will treat the sessions of the same subject as different subjects. That's not what I want.

How can I tell the 3dMEMA not to model between-subject variability?

Thanks!



Edited 2 time(s). Last edit at 12/07/2017 03:59PM by insularcortex.
Subject Author Posted

GLM statistics on multi-sessions and multi-runs task fmri data from one subject

insularcortex December 07, 2017 10:34AM

Re: GLM statistics on multi-sessions and multi-runs task fmri data from one subject

gang December 07, 2017 03:03PM

Re: GLM statistics on multi-sessions and multi-runs task fmri data from one subject

insularcortex December 07, 2017 03:58PM

Re: GLM statistics on multi-sessions and multi-runs task fmri data from one subject

gang December 07, 2017 10:58PM

Re: GLM statistics on multi-sessions and multi-runs task fmri data from one subject

insularcortex December 08, 2017 09:52AM