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Abstract #1528

A Generalized Tool for Deriving Connectomes in Support of Computational Neuroscience

David Mattie1, Zihang Fang2, Emi Takahashi2,3, and Jacob Levman1
1Bioinformatics Group, St. Francis Xavier Unversity, Antigonish, NS, Canada, 2Department of Medicine, Boston Children’s Hospital, Boston, MA, United States, 3Department of Pediatrics, Harvard Medical School, Boston, MA, United States

Identifying regional neural pathways with magnetic resonance imaging (MRI) based diffusion characteristics across all possible regions of interest (ROI) is computationally expensive and demands a concerted effort to ensure reliable extraction of tractography statistics from the diffusion tensor imaging data associated with identifiable fiber tracts from a patient’s brain MRI examination. Here we present a software tool called Connectome Reporting User Shell (CRUSH) that processes DTI data using pluggable modules that can be tailored to research specific outcomes. We demonstrate the value of such a tool by conducting a whole-brain tractography-based connectomics analysis on a clinically imaged neurologically healthy population.

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