• Login
    View Item 
    •   Home
    • Nottingham University Hospitals NHS Trust
    • Medicine
    • Neurology
    • View Item
    •   Home
    • Nottingham University Hospitals NHS Trust
    • Medicine
    • Neurology
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of EMERCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjectsProfilesView

    My Account

    LoginRegister

    Links

    About EMERPoliciesDerbyshire Community Health Services NHS Foundation TrustLeicester Partnership TrustNHS Nottingham and Nottinghamshire CCGNottinghamshire Healthcare NHS Foundation TrustNottingham University Hospitals NHS TrustSherwood Forest Hospitals NHS Foundation TrustUniversity Hospitals of Derby and Burton NHS Foundation TrustUniversity Hospitals Of Leicester NHS TrustOther Resources

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Localised grey matter atrophy in multiple sclerosis and clinically isolated syndrome-a coordinate-based meta-analysis, meta-analysis of networks, and meta-regression of voxel-based morphometry studies

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Localised Grey Matter Atrophy ...
    Size:
    3.226Mb
    Format:
    PDF
    Download
    Author
    Tanasescu, Radu
    Constantinescu, Cris S.
    Keyword
    Multiple sclerosis
    Grey matter
    Atrophy
    Date
    2020
    
    Metadata
    Show full item record
    Publisher's URL
    https://doi.org/10.3390/brainsci10110798
    Abstract
    Background: Atrophy of grey matter (GM) is observed in the earliest stages of multiple sclerosis (MS) and is associated with cognitive decline and physical disability. Localised GM atrophy in MS can be explored and better understood using magnetic resonance imaging and voxel-based morphometry (VBM). However, results are difficult to interpret due to methodological differences between studies. Method(s): Coordinate-based analysis is a way to find the reliably observable results across multiple independent VBM studies. This work uses coordinate-based meta-analysis, meta-analysis of networks, and meta-regression to summarise the evidence from voxel-based morphometry of regional GM hanges in patients with MS and clinically isolated syndrome (CIS), and whether these measured changes are relatable to clinical features. Result(s): Thirty-four published articles reporting forty-four independent experiments using VBM for the assessment of GM atrophy between MS or CIS patients and healthy controls were identified. Analysis identified eight clusters of consistent cross-study reporting of localised GM atrophy involving both cortical and subcortical regions. Meta-network analysis identified a network-like pattern indicating that GM loss occurs with some symmetry between hemispheres. Meta-regression analysis indicates a relationship between disease duration or age and the magnitude of reported statistical effect in some deep GM structures. Conclusion(s): These results suggest consistency in MRI-detectible regional GM loss across multiple MS studies, and the estimated effect sizes and symmetries can help design prospective studies to test specific hypotheses.Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
    Citation
    Singh, S., Tench, C.R., Tanasescu, R. and Constantinescu, C.S. (2020) 'Localised grey matter atrophy in multiple sclerosis and clinically isolated syndrome-a coordinate-based meta-analysis, meta-analysis of networks, and meta-regression of voxel-based morphometry studies', Brain Sciences, 10(11), 798. doi: 10.3390/brainsci10110798 https://doi.org/10.3390/brainsci10110798.
    Type
    Article
    URI
    http://hdl.handle.net/20.500.12904/19483
    Collections
    Neurology

    entitlement

     
    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.