Author Correction: Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

Arman Eshaghi^{1

2}, Alexandra L Young^{3

4}, Peter A Wijeratne³, Ferran Prados^{5

3

6}, Douglas L Arnold⁷, Sridar Narayanan⁷, Charles R G Guttmann⁸, Frederik Barkhof^{5

3

9

10}, Daniel C Alexander³, Alan J Thompson⁵, Declan Chard^#^{5

11}, Olga Ciccarelli^#^{5

11}

Affiliations

¹ Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK. a.eshaghi@ucl.ac.uk.
² Centre for Medical Image Computing (CMIC), Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK. a.eshaghi@ucl.ac.uk.
³ Centre for Medical Image Computing (CMIC), Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK.
⁴ Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
⁵ Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
⁶ e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain.
⁷ McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
⁸ Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
⁹ VU University Medical Centre, Amsterdam, The Netherlands.
¹⁰ Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
¹¹ National Institute for Health Research University College London Hospitals, Biomedical Research Centre, London, UK.

^# Contributed equally.

Published Erratum

Arman Eshaghi et al. Nat Commun. 2021.

. 2021 May 20;12(1):3169.

doi: 10.1038/s41467-021-23538-6.

¹ Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK. a.eshaghi@ucl.ac.uk.
² Centre for Medical Image Computing (CMIC), Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK. a.eshaghi@ucl.ac.uk.
³ Centre for Medical Image Computing (CMIC), Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK.
⁴ Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
⁵ Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
⁶ e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain.
⁷ McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
⁸ Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
⁹ VU University Medical Centre, Amsterdam, The Netherlands.
¹⁰ Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
¹¹ National Institute for Health Research University College London Hospitals, Biomedical Research Centre, London, UK.

^# Contributed equally.

No abstract available

Erratum for

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data.
Eshaghi A, Young AL, Wijeratne PA, Prados F, Arnold DL, Narayanan S, Guttmann CRG, Barkhof F, Alexander DC, Thompson AJ, Chard D, Ciccarelli O. Eshaghi A, et al. Nat Commun. 2021 Apr 6;12(1):2078. doi: 10.1038/s41467-021-22265-2. Nat Commun. 2021. PMID: 33824310 Free PMC article.