B0264
Title: Multiscale information extraction of structure connectivity of the brain
Authors: Jie Peng - University of California Davis (United States) [presenting]
Abstract: A major limitation of most diffusion MRI data analysis is that the spatial scale is determined a priori and is fixed throughout the analysis. We will introduce a computationally efficient, bottom-up representation of structural connectivity of the brain based on D-MRI data such that coherent neuronal fiber directionality is modeled over arbitrary-sized spatial neighborhoods. Particularly, we will derive new features that capture structural connectivity at different spatial scales which are easy to be related to external variables (such as age, cognitive measures) in statistical models.
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