<div dir="ltr"><div><div><div><div><div>Hi all,<br><br></div>I have a few question regarding connectivity analysis using Camino. I want to create a connectivity matrix for 92 regions from AAL atlas (I've already nonlinearly registered and resampled the AAL atlas into each subject's DTI space). I've looked at the tutorial page: <a href="http://cmic.cs.ucl.ac.uk/camino//index.php?n=Tutorials.ConnectivityMatrices">http://cmic.cs.ucl.ac.uk/camino//index.php?n=Tutorials.ConnectivityMatrices</a><br>
<br></div>and still have a few questions. Can I use probabilistic tractography (ie. track -inputmodel bayesdirac_dt) or deterministic tractography is good enough?! is there a point in doing the probabilistic tractogrtaphy (since it takes a lot of time!). Also, it's mentioned in the page that "it is assumed that whole-brain tractography has already been performed", the command I was thinking of using is the following:<br>
track -inputfile DTI_ec_VoxelOrder.Bfloat -inputmodel bayesdirac_dt -schemefile bvec_rot.scheme -iterations 1000 -seedfile AAL_labels_to_DTI_resampled.nii.gz -brainmask B0_brain_mask.nii.gz -pointset 0 > bayesianTracts_1000.Bfloat<br>
<br></div>where my -seedfile is the 92 region AAL atlas which does not cover the whole brain! I though since I'm only interested in those ROIs, I can used that instead of whole brain ROI. Could someone clarify these points for me? <br>
<br></div>Thanks a lot,<br></div>-Mojdeh <br><div><div><div><br></div></div></div></div>