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Characterizing axonal tracks using probabilistic, Diffusion Tensor Imaging (DTI)

This project consists of quantitatively identifying and characterizing axonal tracks of the upper motor neuron system in humans using probabilistic, Diffusion Tensor Imaging (DTI) tractography. I also seek to quantify damage to the upper motor neuron system as a result of Wallerian Degeneration and necrosis in a chronic, hemiparetic stroke sample population. Finally, I aim to correlate these deficits with both traditional and novel measures of functional motor performance of the upper extremity. Such an analysis would not only characterize the morphology of stroke in a new fashion but conceivably aid in diagnosing the need for an artificial motor pathway such as that provided by a BCI.

Figure. Example of DTI image.

 

Jun Yao

 

Clay Sheaff

 
 

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