You might cross-post this on the FSL list as well.  The approach seemed okay, 
though I’m not sure I would do that if I was trying to do something similar.  
Not sure what I would do.

Matt.

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Amin Dadashi 
<[email protected]<mailto:[email protected]>>
Date: Monday, July 30, 2018 at 7:46 AM
To: hcp-users 
<[email protected]<mailto:[email protected]>>
Subject: [HCP-Users] Seed-based tractography group analysis

Dear HCP experts,

I want to perform a seed-based (preferably probabilistic) tractography for some 
brainstem ROIs using the HCP 7T DTI dataset.

To do so, I used FDT probtrackx2 for every subject to calculate the ROIs 
streamlines. In order to do a group analysis (replicating the method 
here<http://dbic.dartmouth.edu/wiki/index.php/Diffusion_Tensor_Imaging_Analysis#Combining_Individuals_into_a_Group>),
 I created a binary pathways mask by puting the threshold#1 on each individual 
probabilistic map "fdt_paths.nii.gz". Then, I chose the threshold#2 for the 
summation of the individuals' binarized connectivity map to find the most 
recurring streamlines among subjects.

The value of each "fdt_paths.nii.gz" voxel shows the accumulative number of 
streamlines from all the voxels under the ROI mask.

Now, the issue is how to choose threshold#1, which is probably dependent on 
many factors; specifically the tracts length (and also maybe seeds location and 
volume?...). And a more basic question is if this whole approach makes sense at 
all, since no inferential statistics is being used?

Thank you in advance.

Best,
Amin

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