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Abstract #2029

Normalized Edge Weight Connectivity Measure Derived from Diffusion Weighted Images: Application to the Limbic System.

Luis Manuel Colon-Perez1, Remington Horesh2, William Triplett3, Mansi Parekh4, Sachin Talathi5, Paul Carney5, Thomas Mareci3

1Physics, University of Florida, Gainesville, FL, United States; 2Biology, University of Florida; 3Biochemistry & Molecular Biology, University of Florida; 4Neuroscience, University of Florida; 5Pediatrics, University of Florida

High angular resolution diffusion weighted imaging (DWI) may provide sufficient information for the creation of brain structural connectivity graphs from fiber track estimation. Our objective in this work was to develop network connectivity measures that are independent of the method used to calculate fiber tracts. We introduce a new normalized edge weight, derived from DWI estimated fiber tracks, which can be used to calculate node connection strengths. To test these measures, we defined a low-resolution network of the limbic system in excised rat brains and calculated these network structural connectivity parameters.