5000 permutations is the generally recommended minimum, while 10000 is
even better.  See the FSL page on randomise
http://www.fmrib.ox.ac.uk/fsl/randomise/index.html
for the confidence limits for a nominal alpha of 0.05 as a function of
the number of permutations.

Also, I don't know how complicated your statistical model is, but I'm
not sure how the permutation engine within mri_glmfit implements its
permutation testing in the case of complicated models involving
covariates.  It is a non-trivial issue.  See the above FSL page, and the
references cited therein, for a discussion of some of the technical
issues involved when performing permutation testing in the presence of
covariates.

cheers,
-MH

On Mon, 2010-10-11 at 12:10 +0800, Jay Ives wrote:
> Hi Micheal,
> 
> Thanks. Looks like I will have to dump all my results done with mc-z!
> 
> Unfortunately the Freesurfer Wiki is mute on the use of permutation,
> unless there is some tutorial I haven't found.
> How many permutations should one run?
> Any other helpful hints?
> 
> Cheers.......J
> 
> On Mon Oct 11 9:05 , "Michael Harms" sent:
> 
>         
>         Hi Jay,
>         Permutation testing will give the most accurate results.
>         
>         cheers,
>         -MH
>         
>         > Hi Experts,
>         >
>         > Which option is best to use: mc-z or perm?
>         > I have read that perm gives more accurate results than mc-z,
>         as it uses
>         > the actual data rather than fake data to estimate the null
>         distribution.
>         > When I use perm, I get no significant clusters.
>         > When I use mc-z, almost all clusters are significant.
>         >
>         > Thanks......J_______________________________________________
>         > Freesurfer mailing list
>         > Freesurfer@nmr.mgh.harvard.edu
>         > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>         >
>         >
>         > The information in this e-mail is intended only for the
>         person to whom it
>         > is
>         > addressed. If you believe this e-mail was sent to you in
>         error and the
>         > e-mail
>         > contains patient information, please contact the Partners
>         Compliance
>         > HelpLine at
>         > http://www.partners.org/complianceline . If the e-mail was
>         sent to you in
>         > error
>         > but does not contain patient information, please contact the
>         sender and
>         > properly
>         > dispose of the e-mail.
>         >
>         
>         _______________________________________________
>         Freesurfer mailing list
>         Freesurfer@nmr.mgh.harvard.edu
>         https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
> 

_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer

Reply via email to