Mapping structural connectivity using diffusion MRI : challenges and opportunities

Yeh, Chun-Hung, Jones, Derek K. ORCID: https://orcid.org/0000-0003-4409-8049, Liang, Xiaoyun, Descoteaux, Maxime and Connelly, Alan 2021. Mapping structural connectivity using diffusion MRI : challenges and opportunities. Journal of Magnetic Resonance Imaging 53 (6) , pp. 1666-1682. 10.1002/jmri.27188

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (6MB) | Preview

Abstract

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

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology
Publisher:	Wiley
ISSN:	1053-1807
Funders:	Wellcome Trust
Date of First Compliant Deposit:	2 September 2020
Date of Acceptance:	21 April 2020
Last Modified:	05 May 2023 14:08
URI:	https://orca.cardiff.ac.uk/id/eprint/134608

Citation Data

Cited 48 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item