Hello Eric, unfortunately PANDA so far cannot be directly applied for your work. You need to go with FSL directly by running Probtrackx in command line or GUI. During this process, one of your ROI needs to be set as the seeding mask and the other one as the termination mask, which will end up with the pathway between them. After this, you will have to define a measure to quantify this between-ROI connection. Mean FA or connectivity probability are frequently employed. With this data, you can go for your statistical analysis (e.g. t test). <div>
<br></div><div>BTW, in your case, you probably need to first transfer your ROI masks in MNI space back to the diffusion native space, as mostly the Probtrackx is run in the native space. </div><div><br></div><div>Hope in the future PANDA can support more customized analysis like what you plan to do. </div>
<div><br></div><div>Best,</div><div><br></div><div>Gaolang <br><br><div class="gmail_quote">On Mon, Feb 25, 2013 at 3:11 AM, Walden, Eric <span dir="ltr"><<a href="mailto:eric.walden@ttu.edu" target="_blank">eric.walden@ttu.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<div>I was wondering how to do some analysis. I have two groups of subjects with DTI scans. I have identified 9 interesting areas via a functional study, and I would like to see if there are connectivity differences between the regions for the two different
subject groups.</div>
<div><br>
</div>
<div>To keep it simple, let's assume I have two different regions identified in MNI space. What I would like to do is run tractography (ProbtracX) between the two regions for every subject, then compare the results from one subject group to the other subject
group.</div>
<div><br>
</div>
<div>Can I do this in PANDA?</div>
</div>
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