Dear FSL users & experts,
We are hoping to seek advice on conducting the following analysis:
* 2 groups - intervention vs placebo
* both groups scanned pre and post intervention
We would like to see if there is a difference in resting state connectivity (DMN and hippocampus) after intervention, as compared to placebo.
So far, we have constructed a GLM as per the "2-way mixed-effect ANOVA" on the GLM page (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/GLM#ANOVA:_2-groups.2C_2-levels_per_subject_.282-way_Mixed_Effect_ANOVA.29).
We are a little confused because it says that "the FEAT model cannot be used with randomise" but we have no task data, only resting state. Therefore, we have not performed a first-level FEAT analysis. So, perhaps we should just use this GLM in the dual_regression command line to perform this resting state analysis? We would be using the filtered_func_data from a melodic ICA as the inputs.
e.g.: dual_regression <DMN_mask> 1 <GLM.mat> <GLM.con> 5000 <output> <subj 1 pre filtered_func_data> <subj 1 post filtered_func_data> ... etc.
Thank you in advance for your help.
Kind regards,
Lucia Li
Visiting research student
IBIC, National Centre for Neurology & Psychiatry
Tokyo
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