zhibinz2 / Virtual-Tractography

Code to generate virtual structurahttps://github.com/wodeyara/Virtual-Tractography/forkl connectomes given a volume mask for injury.

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This is a small repository that provides the minimal usable pieces needed to estimate virtual tractography 
for patients of stroke who have experienced white matter injury. The necessary first effort needs to be to create
lesion masks for each patient that is transformed into the MNI space. Using that and the data in baseData.mat  and also download the streamlines from 
https://figshare.com/s/c9dc7ed58127eb1082cb you can create
virtual structural connectomes for patients. Read the corresponding paper for more details: 
  
Wodeyar, A. et al. (2019) Influence of damage to the structural connectome on functional and effective connectivity in resting state fMRI

Note that code was adapted from along-tract-stats: https://github.com/johncolby/along-tract-stats

Also streamlines were derived using DSI-Studio from http://brain.labsolver.org/diffusion-mri-templates/hcp-842-hcp-1021 - check 
Yeh, F. C., Panesar, S., Fernandes, D., Meola, A., Yoshino, M., Fernandez-Miranda, J. C., ... & Verstynen, T. (2018). Population-averaged atlas of the macroscale human structural connectome and its network topology. NeuroImage, 178, 57-68. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29758339 for more details.

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Code to generate virtual structurahttps://github.com/wodeyara/Virtual-Tractography/forkl connectomes given a volume mask for injury.

License:GNU General Public License v3.0


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