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Abstract #4509

Model-based neuroanatomy: Tractography validation, white-matter connections and geometrical organization

Franco Pestilli 1 , Justin Solomon 2 , Adrian Butscher 3 , and Brian Wandell 1

1 Psychology, Stanford University, Stanford, CA, United States, 2 Computer Science, Stanford University, Stanford, CA, United States, 3 Max Planck Institute for Informatics, Saarbruecken, Germany, Germany

We present a method for validating the organization of the white-matter tracts generated using diffusion weighted MRI and fiber tractography. Unlike previous techniques, our method locally determines the quality of each fascicle by associating nodes on each fascicle with nonnegative weights. These weights are optimized to predict the diffusion signal while also exhibiting smoothness along the fiber path. We find that different tractography algorithms generate different white-matter geometries. After cross-validation using our localized fascicle weights, however, we can describe the geometry of fascicles in white matter with confidence that our result is not a by-product of the choice of tractography techniques.

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