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Original research
Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes

Authors

  • Elisa Colato NMR Research Unit, 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
  • Jonathan Stutters NMR Research Unit, 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
  • Carmen Tur NMR Research Unit, 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, Quebec, Canada PubMed articlesGoogle scholar articles
  • Douglas L Arnold McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada PubMed articlesGoogle scholar articles
  • Claudia A M Gandini Wheeler-Kingshott NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UKDepartment of Brain & Behavioural Sciences, University of Pavia, Pavia, ItalyBrain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy PubMed articlesGoogle scholar articles
  • Frederik Barkhof NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UKCentre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UKDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, NL PubMed articlesGoogle scholar articles
  • Olga Ciccarelli NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UKInstitute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK PubMed articlesGoogle scholar articles
  • Declan T Chard NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UKInstitute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK PubMed articlesGoogle scholar articles
  • Arman Eshaghi NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UKCentre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Elisa Colato, Russell Square House, 10-12 Russell Square, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK WC1B 5EH; elisa.colato.18{at}ucl.ac.uk
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Citation

Colato E, Stutters J, Tur C, et al
Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes

Publication history

  • Received November 12, 2020
  • Revised March 18, 2021
  • Accepted March 20, 2021
  • First published April 20, 2021.
Online issue publication 
August 13, 2021

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