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Hi - 

 I had missed you were using randomise: this makes the multi-level approach tricky, but the model you suggested above should work (ensuring you set exchangability blocks as subjects).  This will be equivalent to taking the means.

Cheers,

Eugene 

On 9 November 2014 23:07, Bryson Dietz <[log in to unmask]> wrote:

Great, thanks Eugene and David. I appreciate your responses.

If I may be so BOLD (had to throw in a pun) as to ask a follow up question; are these two methods equivalent? Or is one more valid than the other?

Thanks again,

Bryson

Hi Bryson,

Yes, you could average the dr_stage2 output from the runs/sessions. I posted some code to help with this procedure in this thread:

JISCMail - FSL Archive - Re: NETWORK INTEGRATION SCORE (https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=FSL;6b8d55bf.1109)

Hope this helps.

Cheers,
David


On Nov 8, 2014, at 2:53 PM, Bryson Dietz <[log in to unmask]> wrote:

Hello,

I just have a question regarding my resting-state analysis (3 runs, single-session, 6 subjects (for each group), 2 groups). Initially I made my GLM, essentially the same as mentioned below (I pasted the image from the link below in this email).
It appears that this analysis ignores variance between subjects. In the above link Stephen mentions "Hence I would recommend just averaging the 3 sessions' images (output by the dual regression) for each subject"

I would just like to clarify, does Stephen mean to average the sessions (in my case runs) output from the dual-regression run from the above link (with the GLM shown below)? Also, I am assuming that I can simply exchange sessions with runs.

I hope that I have made my question clear!

Thanks,

Bryson