University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Medicine, Dentistry & Health Sciences
  • Florey Department of Neuroscience and Mental Health
  • Florey Department of Neuroscience and Mental Health - Research Publications
  • View Item
  • Minerva Access
  • Medicine, Dentistry & Health Sciences
  • Florey Department of Neuroscience and Mental Health
  • Florey Department of Neuroscience and Mental Health - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Mapping Structural Connectivity Using DiffusionMRI: Challenges and Opportunities

    Thumbnail
    Download
    Published version (5.838Mb)

    Citations
    Scopus
    Web of Science
    Altmetric
    3
    1
    Author
    Yeh, C-H; Jones, DK; Liang, X; Descoteaux, M; Connelly, A
    Date
    2020-06-17
    Source Title
    Journal of Magnetic Resonance Imaging
    Publisher
    WILEY
    University of Melbourne Author/s
    Liang, Xiaoyun; Connelly, Alan
    Affiliation
    Florey Department of Neuroscience and Mental Health
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Yeh, 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, https://doi.org/10.1002/jmri.27188.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/252444
    DOI
    10.1002/jmri.27188
    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.

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [45770]
    • Florey Department of Neuroscience and Mental Health - Research Publications [1052]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors