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Publication Detail
Longitudinal changes in structural cortical networks after clinically isolated syndrome
  • Publication Type:
    Journal article
  • Authors:
    Tur C, Eshaghi A, Jenkins , Prados F, Clayden JD, Ourselin S, Altmann DR, Wheeler-Kingshott CAM, Miller DH, Thompson AJ, Ciccarelli O, Toosy AT
  • Country:
    Copenhagen, Denmark
  • Keywords:
    Brain connectivity, Multiple sclerosis, Cortical thickness, Structural cortical networks
  • Addresses:
    Carmen Tur
    UCL Institute of Neurology
    Neuroinflammation
    1st floor, Russell Square House 10-12 Russell Square
    London
    WC1B 5EH
    United Kingdom
Abstract
Introduction Structural cortical networks (SCNs) are defined by covariance in grey matter thickness between cortical areas and may indicate underlying connections or functional connectivity between areas with similar functions. We estimated SCN parameters and evaluated their changes over one year in patients with clinically isolated syndrome (CIS) of optic neuritis. Methods Patients within four weeks of CIS and age-matched controls underwent three-monthly clinical and brain MRI assessments for one year (1.5T, axial proton-density [PD, 0.9x0.9x5mm3] and 3DT1-weighted [1.2x1.2x1.2mm3]). We estimated brain cortical thicknesses (68 areas, Figure1) for each time point and group. These were used to obtain eight (four time points x two groups) between-area correlation matrices, which were binarised according to different thresholds. Binary matrices were considered as numerical representations of networks with 68 nodes and edges indicating presence (=1)/absence (=0) of connection between two areas. For each network, connectivity (number of connections/ total number of possible connections) and nodal degree distribution parameters (nodal degree: number of edges emerging from a node) were obtained. Logistic or linear regression models, with ‘time point’ as the only predictor variable, assessed longitudinal changes in network parameters. Results Seventeen patients and seven controls were included. Baseline network connectivity (Figure2) and mean network degree (Figure3) were not significantly different between groups. In patients, connectivity and mean degree decreased over time, with connectivity reaching statistical significance (p<0.001). No changes were observed in controls. Conclusions Early after CIS, subtle effects compatible with disconnection of SCNs can be detected, even with structural scans and at 1.5T.
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