I don't know of a tool that would do it. I could imagine measuring the 
spatial autocorrelation function, then running the MC simulation using 
that instead of a gaussian (AFNI added this, but it only runs in the 
volume). Getting a particular ACF on the surface would be hard.


On 05/16/2017 08:00 PM, Kevin Aquino wrote:
> Hi Doug,
>
> Thanks for that! with regards to your last point
>
>     Unfortunately, it does not help much. Much was made of the bug
>     that Eklund, et al, found in the alphasim program (the AFNI mc
>     simulator), but even after fixing it, the volume-based analyses
>     still had very high false positive rates. This is because the
>     problem is that the smoothness in the data is not Gaussian, so any
>     method that assumes Gaussianity will be inaccurate.
>
>
> From what I read, the MC simulations on the surface uses this Gaussian 
> assumption. Do you have any ideas (or something in the works) on how 
> to handle these issues on a single subject level? - since the 
> permutation test won't be applicable.
>
>
> Cheers,
>
>
> *Dr Kevin Aquino*
> Research fellow,
> Sir Peter Mansfield Magnetic Resonance Center, The University of 
> Nottingham.
>
> Honorary Research Fellow
> School of Physics, Faculty of Science, University of Sydney
>
> *E* kevin.aqu...@nottingham.ac.uk 
> <mailto:kevin.aqu...@nottingham.ac.uk>, aqu...@physics.usyd.edu.au 
> <mailto:aqu...@physics.usyd.edu.au> | *W* *MailScanner has detected a 
> possible fraud attempt from "www.physics.usyd.edu.au" claiming to be* 
> https://kevinaquino.github.io <http://www.physics.usyd.edu.au/%7Eaquino/>
>
> ----------------------------------------------
>
> The brain is a wonderful organ. It starts working the moment you get 
> up and does not stop until you get into the office.
> -
> Robert Frost
>
> CRICOS 00026A
> This email plus any attachments to it are confidential. Any 
> unauthorised use is strictly prohibited. If you receive this email in 
> error, please delete it and any attachments.
>
> Please think of our environment and only print this e-mail if necessary.
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>
> On Wed, May 17, 2017 at 1:18 AM, Douglas Greve 
> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>
>
>
>     On 5/15/17 10:34 PM, Kevin Aquino wrote:
>>     Hi all,
>>
>>     First of all, Freesurfer V6 is working like a dream, my 0.7 mm
>>     segmentations are running really well and in comparisons to
>>     hi-resrecon in 5.3 and early beta, I'm having to do fewer manual
>>     corrections!
>>
>>
>>     Now for my questions,
>>
>>     1. I'm running mri_mcsim in order to correct for multiple
>>     comparisons via the FS-FAST stream. I'm wondering how many
>>     iterations are advised, and how can one check for convergence in
>>     an automatic fashion.
>>
>>     I've run the simulations with 1000 and 10,000 iterations on a 1mm
>>     segmentation with the FWHM simulations at 8mm. (i.e.
>>     using mri_mcsim --o . --base mc-z --save-iter  --surf subject
>>     lh/rh --nreps 10000 --fwhm 8) and I can't see many differences
>>     between the two when correcting for multiple comparisons (i.e.
>>     using cluster-sess -analysis  myanalysis -thresh 3 -cwp .05 -s
>>     SESSION -sign pos).
>     For the tables hat we distribute I ran it to 10,000, but there
>     will probably not be much difference with 1000. If you look in the
>     cluster summary file, it will actually give the 95% confidence
>     intervals on the cluster p-values. If the worst is ok, then you
>     don't really need to run it more.
>>
>>     2. I'm trying to find some references that detail the simulations
>>     and form the corrections, does anyone have advice which list I
>>     can read/start off with, as well as some key papers that use it
>>     (esp on a single subject level).
>     You can check out "Smoothing and cluster thresholding for cortical
>     surface-based group analysis of fMRI data" by Don Hagler
>>     I really like this approach and It does look to circumvent (I
>>     think...) a lot of the problems of cluster-wise corrections
>>     described with Eklund et al. (Cluster failure paper).
>     Unfortunately, it does not help much. Much was made of the bug
>     that Eklund, et al, found in the alphasim program (the AFNI mc
>     simulator), but even after fixing it, the volume-based analyses
>     still had very high false positive rates. This is because the
>     problem is that the smoothness in the data is not Gaussian, so any
>     method that assumes Gaussianity will be inaccurate.
>     doug
>>
>>     Cheers,
>>
>>
>>     *Dr Kevin Aquino*
>>     Research fellow,
>>     Sir Peter Mansfield Magnetic Resonance Center, The University of
>>     Nottingham.
>>
>>     Honorary Research Fellow
>>     School of Physics, Faculty of Science, University of Sydney
>>
>>     *E* kevin.aqu...@nottingham.ac.uk
>>     <mailto:kevin.aqu...@nottingham.ac.uk>,
>>     aqu...@physics.usyd.edu.au <mailto:aqu...@physics.usyd.edu.au> |
>>     *W* *MailScanner has detected a possible fraud attempt from
>>     "www.physics.usyd.edu.au" claiming to be*
>>     https://kevinaquino.github.io
>>     <http://www.physics.usyd.edu.au/%7Eaquino/>
>>
>>     ----------------------------------------------
>>
>>     The brain is a wonderful organ. It starts working the moment you
>>     get up and does not stop until you get into the office.
>>     -
>>     Robert Frost
>>
>>     CRICOS 00026A
>>     This email plus any attachments to it are confidential. Any
>>     unauthorised use is strictly prohibited. If you receive this
>>     email in error, please delete it and any attachments.
>>
>>     Please think of our environment and only print this e-mail if
>>     necessary.
>>
>>
>>
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Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
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