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Abstract #3609

Quantitative Analysis of Structural Connectivity Using Fiber Tracking and Non-Parametric Statistics

Bagrat Amirbekian1, 2, Roland Henry1

1University of California San Francisco, San Francisco, CA, United States; 2UC Berkeley & UCSF Graduate Program in Bioengineering, San Francisco, CA, United States

Fiber tracking is a powerful method to explore structural connectivity of white matter. However, without statistical methods to estimate the uncertainties associated with quantitative connectivity measures it is very hard to compare fiber tracking results. This study looks at the possibility of using the residual bootstrap with fiber tracking to establish confidence intervals on connectivity measures.