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I'm afraid it is, yes…  people either use seed-based correlation, or ICA, mostly - see the resting-state literature.
Cheers.



On 29 Mar 2013, at 15:37, Shan(Hannah) Luo wrote:

> Thanks Stephen. This question might be silly. Since I have a resting-state data with no experimental condition, what should I do for my GLM? 
> 
> 
> On Fri, Mar 29, 2013 at 2:51 AM, Stephen Smith <[log in to unmask]> wrote:
> Hi - for resting state, given that you don't have a model, you should use the other approach - 
> "subtraction of tag from control (as part of pre-stats processing)"
> as described at the top of that web page.
> 
> Cheers
> 
> 
> 
> 
> On 25 Mar 2013, at 16:59, Shan(Hannah) Luo wrote:
> 
>> Dear FSL experts, 
>> 
>> I am trying to figure out how to analyze some resting-state ASL data. I followed instruction from FSL website using full perfusion signal model: http://fsl.fmrib.ox.ac.uk/fsl/fsl4.0/feat5/perfusion.html
>> 
>> I'm wondering whether I need to include EV3 ( interaction EV)  in my model. My dataset is all resting-state ASL. I would appreciate if you could generously offer some help. Thanks ahead of time. 
> 
> 
> ---------------------------------------------------------------------------
> Stephen M. Smith, Professor of Biomedical Engineering
> Associate Director,  Oxford University FMRIB Centre
> 
> FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
> +44 (0) 1865 222726  (fax 222717)  2176
> [log in to unmask]    http://www.fmrib.ox.ac.uk/~steve
> ---------------------------------------------------------------------------
> 
> 
> 
> 


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Stephen M. Smith, Professor of Biomedical Engineering
Associate Director,  Oxford University FMRIB Centre

FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
+44 (0) 1865 222726  (fax 222717)
[log in to unmask]    http://www.fmrib.ox.ac.uk/~steve
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