Hi,

I was trying to figure out if there is any way to determine the exact
size at which clusters becomes significant given a specified
significance on the surface data.

Then i found there is a subject talking about this:
https://mail.nmr.mgh.harvard.edu/pipermail//freesurfer/2007-August/005855.html

In that talk,Don Hagler mentioned Keith Worsley's "Random Field
Theory" method 
(http://www.math.mcgill.ca/keith/fmristat/toolbox/stat_threshold.m)
can be used to directly (in seconds) estimate the cluster size
thresholds given:
..total surface area
..number of vertices
..fwhm smoothness.
function [cluster_threshold,peak_threshold] =
fs_calc_cluster_thresh(nverts,area,fwhm,df,alpha,pval);
*> % alpha: corrected p-value
*>* % {default = 0.05}
*>* % pval: uncorrected p-value
*>* % {default = 0.001}

*I tried this function, and it does give me a cluster size with mm^2,
say 100 mm^2.  But I don't know whether this is the right thing to do.

As I'm doing some statistical analysis using GLM, so I also try the
method from Keith Worsley's statistical toolbox, then I can get the
cluster's No. of vertices and the corrected p-value(alpha=0.05) for
the cluster.

Here is one example:

  clusid  nverts  resels     P
---------------------------------------
   1      2205      18.2781  2.1299e-06
   2       208      1.42105    0.013359
   3       127      1.15533    0.026747
   4        58       1.0443    0.036658
   5         5     0.519762     0.20884
   6       105     0.464429      0.2571

The thing I don't understand is , if we are looking for a cluster size
threshold, then we can say that, the clusters above that threshold
size is what we want to keep. And also, the p-value of the clusters
above that threshold size should
be below alpha we set, say 0.05. But when checking the tale above, the
first four clusters' p- value is smaller than 0.05, then we should
keep it. But according to the no. of vertices, we can caculate the
cluster size in mm^2. Then the 4th
cluster size is obviously below 100mm^2, the threshold we found using
the function fs_calc_cluster_thresh. Oppositely, the 6th cluster has a
large no. of vertices and its cluster size is above 100mm^2, while
it's
not kept because its p value is above 0.05.

I know what happened here is because of the 'resels', but it really
confuse me which one is the right one. Since you said we can use the
function, then why is the result  conflicted with each other?

Could you tell me what's wrong here or what did I miss ?

<https://mail.nmr.mgh.harvard.edu/pipermail//freesurfer/2007-August/005855.html>Thanks
a lot,

Jidan
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