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Abstract #3615

Variance of Structural Network for Different Fiber Tracking Schemes

Hu Cheng1, Ruopeng Wang2, Aina Puce1

1Indiana University, Bloomington, IN, United States; 2Harvard University, Boston, MA, United States

We investigated the effect of different fiber tracking schemes on the construction of structural brain networks. Our results show that HARDI and DTI, FACT and Tensorline, both result in similar networks with correlation coefficients greater than 0.9. HARDI is superior to DTI in terms of tracking efficiency and test-retest reliability. Tensorline algorithm is able to track longer fibers than FACT but also produces more variances. The use of white matter mask can effectively remove spurious fibers that normally cannot survive over long range tracking. The networks constructed with and without white matter mask are very different.