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Abstract #0043

Investigating U-Shape Fibers from Data-Driven Clustering of White Matter Tractography

Jason Kai1, Loxlan W Kasa2, Terry M Peters1,2,3, and Ali R Khan1,2,3

1Medical Biophysics, Western University, London, ON, Canada, 2Biomedical Engineering, Western University, London, ON, Canada, 3Robarts Research Institute, Western University, London, ON, Canada

Studies of white matter tractography typically investigate fibers that make up long association tracts, such as the arcuate fasciculus. As a result, the local structural connections comprising short association (cortico-cortical), U-shaped fibers, or U-fibers, are poorly understood. Previous work suggests these fibers play an important role in communication between adjacent cortical regions. We introduce a flexible, data-driven tool incorporating multimodal MRI techniques to aid differentiation of fiber tracts via clustering techniques, including a filter to identify and extract U-fibers. Using this tool, we present a preliminary investigation of U-fibers between controls (N=20) and patients diagnosed with temporal lobe epilepsy (N=19).

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