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Hi

On 12 Sep 2011, at 16:32, David Soto wrote:

> Hello, 
> 
> 
> In order to derive the temporal course of a ROI I follow these steps
> 
> 1) Draw an spherical ROI using fslmaths, 
> 
> (e.g.)
> fslmaths /usr/local/fsl/data/standard/MNI152_T1_2mm_brain.nii.gz -mul 0 -add 1 -roi 32 1 68 1 29 1 0 1 -kernel sphere 3 -fmean rOFC -odt float
> 
> 2) Use featquery to derive the temporal course for each individual subject in the relevant COPE
> by using the mask output in step 1)using the output
> In featquery I select - DO NOT binarise mask (allow weighting)......
> 
> the thing is that if I don't select the DO NOT Binarise then the temporal course file contains only zeros

is this just because the values in your mask are too low?

Cheers

> 
> is this OK?
> 
> On a related note, I also use featquery to derive the % signal change for each individual subject
> based on the cluster_mask_zstat at the highest level....I think that selecting DO  NOT Binarise mask may be problematic here
> becos the cluster_mask_zstat's variation in the z values will be weighted in the extraction of the % signal change for each individual subject..which does not seem right. 
> 
> I would appreciate to hear from you what is the role of using DO NOT binarise mask (allow weighting) and when should  be used and when not- which by the way in one of the FSL feat practicals it is said to use it!
> 
> http://www.fmrib.ox.ac.uk/fslcourse/lectures/practicals/feat1/index.htm
> 
> Cheers, David
> 


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

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