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I took advantage of the possibility to use normative connectomes, and used Lead Connectome Mapper to obtain both the connectivity maps from VTAs and the connectivity matrices between the VTAs of my patients (STN-DBS) and a SMA ROI. I used the PPMI_90 structural connectome. Now I have 2 questions:
1) I would like to be sure of how the connectome was built before using this data. As far as I understood by reading your articles, the PPMI_90 connectome seems to be built on a similar way than your previous connectome presented in Horn and Blankenburg, 2016, i.e. estimation of the whole brain tractography fiber sets using GQI/DSI studio (white matter mask, 200000 fibers sampled per subject), normalization to MNI space and combination of all the tracts in a joint dataset. Thus, in my case, the connectivity strength values obtained from lead mapper should represent the number of fibers from this joint dataset connecting my VTAs and the SMA ROI?
2) How can I properly visualize the ‘connectivity maps from seed’ (.nii) that are obtained in lead mapper (in leadDBS, or maybe you can recommend another tool)? Thanks!
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