If your data are simple a vector of T-values..... and stored in a vector called data<div><br></div><div>for i=1:length(data)</div><div>     if ( spm_invTcdf(data(i),SPM.xX.erdf) &gt;= pval); then</div><div><br><div><br><div class="gmail_quote">
On Mon, Jun 15, 2009 at 10:32 AM, Anna de Boer <span dir="ltr">&lt;<a href="mailto:[log in to unmask]"><a href="/cgi-bin/wa-jisc.exe?LOGON=A3%3Dind0906%26L%3DSPM%26E%3Dquoted-printable%26P%3D2206801%26B%3D--0016364c765b97b5e9046c6815d8%26T%3Dtext%252Fhtml%3B%2520charset%3DISO-8859-1%26pending%3D" target="_parent" >[log in to unmask]</a></a>&gt;</span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
<div>Dear SPM users,</div>
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<div>I am doing a region of interest analysis, and for that want to count the voxels at p &lt; 0.001 in all of my images, in a number of specified ROI&#39;s. I use the volume toolbox to extract t-values from my images inside a ROI, but I don&#39;t now how I can easily calculate the t threshold which accompanies my desired p level (running the results section of SPM for each different contrast and then looking up the threshold in the results table is going to take a lot of time). I believe the t-threshold is determined based on the p level, the degrees of freedom and smoothness of the images, so maybe I could calculate this myself in matlab, but I am not sure how. Anyone any thought on this?</div>


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<div>Kind regards, </div>
<div> </div><font color="#888888">
<div>Anna</div>
</font></blockquote></div><br><br clear="all"><br>-- <br>Best Regards, Donald McLaren<br>=====================<br>D.G. McLaren<br>University of Wisconsin - Madison<br>Neuroscience Training Program<br>Office: (608) 265-9672<br>
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