Dear all,<br><br>I realized that I incorrectly took the SPM[T] values for the 2nd-level statistical analysis, which leads to the NaNs.<br><br>Now I know I should use the contrast images for the group analysis. But I still don&#39;t get it why the use of SPM[T] values will give me NaNs in the statistical results...<br>
<br>Best,<br>Lin<br><br><div class="gmail_quote">2011/2/7 Lin Wang <span dir="ltr">&lt;<a href="mailto:[log in to unmask]"><a href="/cgi-bin/wa-jisc.exe?LOGON=A3%3Dind1102%26L%3DSPM%26E%3Dquoted-printable%26P%3D1306321%26B%3D--0016e644c79c5d9991049c13a4c9%26T%3Dtext%252Fhtml%3B%2520charset%3DISO-8859-1%26pending%3D" target="_parent" >[log in to unmask]</a></a>&gt;</span><br><blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
Dear all,<br>
<br>
I got the same problem after running the 2nd-level statistical analysis. The cluster-level p values are NaNs, and I get the following warning when I click &quot;whole brain&quot; to show all the clusters:<br>
<br>
Warning: Returning NaN for out of range arguments<br>
&gt; In spm_Pcdf at 88<br>
   In spm_P_RF at 106<br>
   In spm_P at 48<br>
   In spm_list at 487<br>
<br>
I searched the documents, but I couldn&#39;t find a clear answer for it. Could anyone help me with it?<br>
<br>
Thanks very much.<br>
<br>
Best,<br>
<font color="#888888">Lin<br>
<br>
</font></blockquote></div><br>