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Original research
Networks of microstructural damage predict disability in multiple sclerosis

Authors

  • Elisa Colato Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK PubMed articlesGoogle scholar articles
  • Ferran Prados Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK e-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain PubMed articlesGoogle scholar articles
  • Jonathan Stutters Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK PubMed articlesGoogle scholar articles
  • Alessia Bianchi Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK PubMed articlesGoogle scholar articles
  • Sridar Narayanan McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada PubMed articlesGoogle scholar articles
  • Douglas L Arnold McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada PubMed articlesGoogle scholar articles
  • Claudia Wheeler-Kingshott Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy PubMed articlesGoogle scholar articles
  • Frederik Barkhof Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, location Vrije Universiteit, Amsterdam, Netherlands Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK PubMed articlesGoogle scholar articles
  • Olga Ciccarelli Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK PubMed articlesGoogle scholar articles
  • Declan T Chard Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK PubMed articlesGoogle scholar articles
  • Arman Eshaghi Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Ms Elisa Colato, Neuroinflammation, University College London, London, UK; elisa.colato.18{at}ucl.ac.uk
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Citation

Colato E, Prados F, Stutters J, et al
Networks of microstructural damage predict disability in multiple sclerosis

Publication history

  • Received September 18, 2022
  • Accepted June 13, 2023
  • First published July 19, 2023.
Online issue publication 
November 15, 2023

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