The Anatomically-Constrained Tractography framework (ACT) is an advanced method to create tractography that relies on very accurate segmentation of the brain. To evaluate its role in tractography of the developing brain, we optimised the pipeline for neonatal data and compared against other methods (FA and WM seeding, with deterministic and probabilistic algorithms) used for the computation of neonatal structural connectivity. The results suggest that ACT with seeding at the GM / WM interface enhances anatomic accuracy of neonatal tractography, compared with other methods, and it has a significant impact on network measures.
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