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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
This research establishes a framework in which to perform a whole-brain tractography-based connectomics analysis using a modular expandable system that can be adapted for new measurement techniques or research specific outcomes.
Fig 1. Processing Pipeline
Fig 2. Fractional Anisotropy variability (standard deviation) vs. age