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Dear Stephen,

Thank you very much for the prompt answer, I am looking forward to see what comes out of the analysis.
Cheers,

Alberto

On 03/08/2013 04:55 PM, Stephen Smith wrote:
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Hi - upsampling/resolution should not affect the validity of randomise p-values, regardless of the test statistic.
Cheers.



On 7 Mar 2013, at 15:19, alberto corcoba wrote:

Dear FSL team,

I am trying to run the TBSS analysis on mice FA data. My problem is that I have in vivo scans with non-isotropic 0.3*0.15*0.6mm voxels. At this resolution, some upsampling of the images was necessary to get the tbss_skeleton script to build a skeleton with reasonable similarity to the underlying anatomy. (I've compared it to what Ruest et al. published in 2011 in NMR in biomedicine using high-res isotropic data).
My question is: how will upsampling affect the statistical results?. I am comparing wild-type to knock-out mice (2 groups unpaired t-test).
I have been through the Smith & Nichols Neuroimage paper on TFCE and I understand that if the extension of the significant clusters to be fed into the TFCE algorithm is given in # of vxls, then upsampling will influence the output, whereas if it is given in mm3 it won't (that much?).
Can somebody give me some help with this?

Thanks a lot in advance,

Alberto

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Alberto Corcoba

Centre d'Imagerie BioMédicale
EPFL - LIFMET
Station 6
1015 Lausanne, Switzerland
+41 (0) 21 69 30586



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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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-- 
Alberto Corcoba

Centre d'Imagerie BioMédicale
EPFL - LIFMET
Station 6
1015 Lausanne, Switzerland
+41 (0) 21 69 30586