<div dir="ltr">Hi,<br><br>When I run classification on raw fMRI data I always make a z-score (subtract the mean and divide by std) for each voxel / scan. <br>Now I tried some sort of correlation analysis, while I run a correlation for beta images (similar to Haxby 2001). So, the z-score is going to be across beta_per_condition values (several values only). The question is: does is make sense to zcore the beta results?<br>
<br>I ran some simulations while I add a noise to each voxel. So, I know that there is a real correlation in my data. Whereas without zscore the results indeed show high correlation, after zscoring procedure the correlation is virtually disappeared. I also tried just to subtract the mean across conditions, but the correlations still do not look good.<br>
<br>What is the correct way to do run this analysis?<br><br>Thanks,<br>Vadim<br><div style="visibility: hidden; display: inline;" id="avg_ls_inline_popup"></div><style type="text/css">#avg_ls_inline_popup { position:absolute; z-index:9999; padding: 0px 0px; margin-left: 0px; margin-top: 0px; width: 240px; overflow: hidden; word-wrap: break-word; color: black; font-size: 10px; text-align: left; line-height: 13px;}</style></div>