Meeting Banner
Abstract #2850

Investigating the consequences for connectomic metrics of methods to correct fibre tracking biases

Chun-Hung Yeh 1 , Robert Smith 1 , Xiaoyun Liang 1 , Fernando Calamante 1,2 , and Alan Connelly 1,2

1 The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia, 2 Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia

Quantification of structural connectomics based on streamline connection density is known to be problematic due to the fundamental limitations of diffusion MRI tractography. This study demonstrates how common brain network metrics of structural connectomes vary considerably when novel streamline reconstruction techniques such as ACT (anatomically-constrained tractography) and SIFT (spherical-deconvolution informed filtering of tractograms) are applied, and that a popular heuristic correction for streamline connection density based on length scaling is not an adequate substitute for these methods, highlighting the necessity for the use of such advanced reconstruction techniques to provide connectome construction with robust and accurate quantitative properties.

This abstract and the presentation materials are available to members only; a login is required.

Join Here