Mapping Structural Connectivity Using DiffusionMRI: Challenges and Opportunities
Web of Science
AuthorYeh, C-H; Jones, DK; Liang, X; Descoteaux, M; Connelly, A
Source TitleJournal of Magnetic Resonance Imaging
AffiliationFlorey Department of Neuroscience and Mental Health
Document TypeJournal Article
CitationsYeh, C. -H., Jones, D. K., Liang, X., Descoteaux, M. & Connelly, A. (2020). Mapping Structural Connectivity Using DiffusionMRI: Challenges and Opportunities. JOURNAL OF MAGNETIC RESONANCE IMAGING, 53 (6), pp.1666-1682. https://doi.org/10.1002/jmri.27188.
Access StatusOpen Access
Diffusion MRI-based tractography is the most commonly-used technique when inferring the structural brain connectome, i.e., the comprehensive map of the connections in the brain. The utility of graph theory-a powerful mathematical approach for modeling complex network systems-for analyzing tractography-based connectomes brings important opportunities to interrogate connectome data, providing novel insights into the connectivity patterns and topological characteristics of brain structural networks. When applying this framework, however, there are challenges, particularly regarding methodological and biological plausibility. This article describes the challenges surrounding quantitative tractography and potential solutions. In addition, challenges related to the calculation of global network metrics based on graph theory are discussed.Evidence Level: 5Technical Efficacy: Stage 1.
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