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Abstract #0397

Mapping Short Association Fibers in Relation to Long-Range White Matter Tracts Using Quantitative Diffusion Tractography

Chloe Cho1, Maxime Chamberland2, Nancy R. Newlin3, Elyssa M. McMaster4, Jongyeon Yoon3, Daniel Moyer3, Bennett A. Landman4, and Kurt G. Schilling5
1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands, 3Department of Computer Science, Vanderbilt University, Nashville, TN, United States, 4Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, 5Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States

Synopsis

Keywords: Tractography, Tractography

Motivation: Short association fibers (SAFs) play an important role in cortical connections, however, their relationship to long-range (LR) white matter pathways remain unclear.

Goal(s): We aim to map SAFs in relation to 63 LR tracts and conduct volumetric analyses to better characterize structural connectivity at this interface.

Approach: We applied advanced quantitative diffusion tractography, leveraging a large-scale dataset with 1054 healthy participants (22-37 years old).

Results: Volumetric distributions characterized bundle-specific SAF and LR tract patterns. Notably, projection pathways demonstrated higher LR:SAF volumetric ratios whereas association and commissural pathways had the lowest LR:SAF ratios.

Impact: This study provides novel insights into the structural connectivity of SAFs in relation to LR tracts. Furthermore, the quantitative volumetric analyses of bundle-specific SAFs establish normative distributions, which will serve as necessary baselines for future studies in disease states.

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Keywords