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      Deep gray matter volume loss drives disability worsening in multiple sclerosis

      research-article
      , MD 1 , 2 , , , PhD 1 , 2 , 3 , 4 , , PhD, FRACP 1 , , PhD 1 , 5 , , MD, PhD 1 ,   , PhD 2 , 3 , , MD 1 , , PhD 1 , , MD, PhD 1 , , MD, PhD 6 , , MD, PhD 6 , , PhD 6 , , MD 7 , 8 , , MD 7 , , MD, FEAN 9 , , MD 9 , , MD 10 , , MD, PhD 11 , , PhD 12 , , MD 13 , , MD, PhD 13 , , MSc 14 , , MD 14 , 15 , , PhD 2 , 3 , 4 , , PhD 1 , 16 , 17 , , MD, PhD 1 , 4 , , FMedSci 1 , , PhD 2 , , MD, PhD 1 , 2 , 3 , 4 , 12 , , PhD, FRCP 1 , 4 , on behalf of the MAGNIMS study group
      Annals of Neurology
      John Wiley and Sons Inc.

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          Abstract

          Objective

          Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS.

          Methods

          We analyzed 3,604 brain high‐resolution T1‐weighted magnetic resonance imaging scans from 1,417 participants: 1,214 MS patients (253 clinically isolated syndrome [CIS], 708 relapsing‐remitting [RRMS], 128 secondary‐progressive [SPMS], and 125 primary‐progressive [PPMS]), over an average follow‐up of 2.41 years (standard deviation [SD] = 1.97), and 203 healthy controls (HCs; average follow‐up = 1.83 year; SD = 1.77), attending seven European centers. Disability was assessed with the Expanded Disability Status Scale (EDSS). We obtained volumes of the deep GM (DGM), temporal, frontal, parietal, occipital and cerebellar GM, brainstem, and cerebral white matter. Hierarchical mixed models assessed annual percentage rate of regional tissue loss and identified regional volumes associated with time‐to‐EDSS progression.

          Results

          SPMS showed the lowest baseline volumes of cortical GM and DGM. Of all baseline regional volumes, only that of the DGM predicted time‐to‐EDSS progression (hazard ratio = 0.73; 95% confidence interval, 0.65, 0.82; p < 0.001): for every standard deviation decrease in baseline DGM volume, the risk of presenting a shorter time to EDSS worsening during follow‐up increased by 27%. Of all longitudinal measures, DGM showed the fastest annual rate of atrophy, which was faster in SPMS (–1.45%), PPMS (–1.66%), and RRMS (–1.34%) than CIS (–0.88%) and HCs (–0.94%; p < 0.01). The rate of temporal GM atrophy in SPMS (–1.21%) was significantly faster than RRMS (–0.76%), CIS (–0.75%), and HCs (–0.51%). Similarly, the rate of parietal GM atrophy in SPMS (–1.24‐%) was faster than CIS (–0.63%) and HCs (–0.23%; all p values <0.05). Only the atrophy rate in DGM in patients was significantly associated with disability accumulation (beta = 0.04; p < 0.001).

          Interpretation

          This large, multicenter and longitudinal study shows that DGM volume loss drives disability accumulation in MS, and that temporal cortical GM shows accelerated atrophy in SPMS than RRMS. The difference in regional GM atrophy development between phenotypes needs to be taken into account when evaluating treatment effect of therapeutic interventions. Ann Neurol 2018;83:210–222

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          Most cited references30

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          Cortical demyelination and diffuse white matter injury in multiple sclerosis.

          Focal demyelinated plaques in white matter, which are the hallmark of multiple sclerosis pathology, only partially explain the patient's clinical deficits. We thus analysed global brain pathology in multiple sclerosis, focusing on the normal-appearing white matter (NAWM) and the cortex. Autopsy tissue from 52 multiple sclerosis patients (acute, relapsing-remitting, primary and secondary progressive multiple sclerosis) and from 30 controls was analysed using quantitative morphological techniques. New and active focal inflammatory demyelinating lesions in the white matter were mainly present in patients with acute and relapsing multiple sclerosis, while diffuse injury of the NAWM and cortical demyelination were characteristic hallmarks of primary and secondary progressive multiple sclerosis. Cortical demyelination and injury of the NAWM, reflected by diffuse axonal injury with profound microglia activation, occurred on the background of a global inflammatory response in the whole brain and meninges. There was only a marginal correlation between focal lesion load in the white matter and diffuse white matter injury, or cortical pathology, respectively. Our data suggest that multiple sclerosis starts as a focal inflammatory disease of the CNS, which gives rise to circumscribed demyelinated plaques in the white matter. With chronicity, diffuse inflammation accumulates throughout the whole brain, and is associated with slowly progressive axonal injury in the NAWM and cortical demyelination.
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            Avoiding asymmetry-induced bias in longitudinal image processing.

            Longitudinal image processing procedures frequently transfer or pool information across time within subject, with the dual goals of reducing the variability and increasing the accuracy of the derived measures. In this note, we discuss common difficulties in longitudinal image processing, focusing on the introduction of bias, and describe the approaches we have taken to avoid them in the FreeSurfer longitudinal processing stream. Copyright © 2011 Elsevier Inc. All rights reserved.
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              • Article: not found

              Gray matter atrophy in multiple sclerosis: a longitudinal study.

              To determine gray matter (GM) atrophy rates in multiple sclerosis (MS) patients at all stages of disease, and to identify predictors and clinical correlates of GM atrophy. MS patients and healthy control subjects were observed over 4 years with standardized magnetic resonance imaging (MRI) and neurological examinations. Whole-brain, GM, and white matter atrophy rates were calculated. Subjects were categorized by disease status and disability progression to determine the clinical significance of atrophy. MRI predictors of atrophy were determined through multiple regression. Subjects included 17 healthy control subjects, 7 patients with clinically isolated syndromes, 36 patients with relapsing-remitting MS (RRMS), and 27 patients with secondary progressive MS (SPMS). Expressed as fold increase from control subjects, GM atrophy rate increased with disease stage, from 3.4-fold normal in clinically isolated syndromes patients converting to RRMS to 14-fold normal in SPMS. In contrast, white matter atrophy rates were constant across all MS disease stages at approximately 3-fold normal. GM atrophy correlated with disability. MRI measures of focal and diffuse tissue damage accounted for 62% of the variance in GM atrophy in RRMS, but there were no significant predictors of GM atrophy in SPMS. Gray matter tissue damage dominates the pathological process as MS progresses, and underlies neurological disabillity. Imaging correlates of gray matter atrophy indicate that mechanisms differ in RRMS and SPMS. These findings demonstrate the clinical relevance of gray matter atrophy in MS, and underscore the need to understand its causes.
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                Author and article information

                Contributors
                arman.eshaghi.14@ucl.ac.uk
                Journal
                Ann Neurol
                Ann. Neurol
                10.1002/(ISSN)1531-8249
                ANA
                Annals of Neurology
                John Wiley and Sons Inc. (Hoboken )
                0364-5134
                1531-8249
                06 February 2018
                February 2018
                : 83
                : 2 ( doiID: 10.1002/ana.v83.2 )
                : 210-222
                Affiliations
                [ 1 ] Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology Faculty of Brain Sciences University College London
                [ 2 ] Centre for Medical Image Computing (CMIC), Department of Computer Science University College London London United Kingdom
                [ 3 ] Translational Imaging Group, Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering University College London London United Kingdom
                [ 4 ] National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC) London United Kingdom
                [ 5 ] Medical Statistics Department London School of Hygiene & Tropical Medicine London United Kingdom
                [ 6 ] Department of Medicine, Surgery and Neuroscience University of Siena Siena Italy
                [ 7 ] Department of Neurosciences S Camillo Forlanini Hospital Rome Italy
                [ 8 ] Department of Neurology and Psychiatry University of Rome Sapienza Rome Italy
                [ 9 ] Neuroimaging Research Unit, Institute of Experimental Neurology Division of Neuroscience, San Raffaele Scientific Institute, Vita‐Salute San Raffaele University Milan Italy
                [ 10 ] MR Unit and Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron Universitat Autònoma de Barcelona Barcelona Spain
                [ 11 ] Department of Neurology/Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron Universitat Autònoma de Barcelona Barcelona Spain
                [ 12 ] Department of Radiology and Nuclear Medicine VU University Medical Centre Amsterdam The Netherlands
                [ 13 ] Department of Neurology, MS Center Amsterdam VU University Medical Center Amsterdam The Netherlands
                [ 14 ] Department of Neurology Medical University of Graz Graz Austria
                [ 15 ] Division of Neuroradiology, Vascular & Interventional Radiology, Department of Radiology Medical University of Graz Graz Austria
                [ 16 ] Department of Brain and Behavioral Sciences University of Pavia Pavia Italy
                [ 17 ] Brain MRI 3T Mondino Research Center C. Mondino National Neurological Institute Pavia Italy
                Author notes
                [*] [* ]Address correspondence to Dr Arman Eshaghi, Queen Square Multiple Sclerosis Centre, Russell Square House, 10‐12 Russell Square, London WC1B5EH, United Kingdom. E‐mail: arman.eshaghi.14@ 123456ucl.ac.uk
                [†]

                MAGNIMS steering committee members are listed in the appendix of this article.

                Author information
                http://orcid.org/0000-0002-6652-3512
                http://orcid.org/0000-0003-0272-4347
                http://orcid.org/0000-0002-9188-4408
                http://orcid.org/0000-0003-2439-350X
                Article
                ANA25145
                10.1002/ana.25145
                5838522
                29331092
                57aecb3b-3b90-4311-a731-133519ccc0f0
                © 2018 The Authors Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 10 March 2017
                : 09 October 2017
                : 10 October 2017
                Page count
                Figures: 4, Tables: 1, Pages: 13, Words: 8560
                Funding
                Funded by: ECTRIMS‐MAGNIMS Fellowship
                Funded by: MSIF McDonald Fellowship
                Funded by: The National Institute for Health Research (NIHR)
                Funded by: ECTRIMS post‐doctoral research fellowship
                Funded by: EPSRC
                Award ID: M020533
                Award ID: M006093
                Award ID: J020990
                Funded by: European Union's Horizon 2020 research and innovation programme
                Award ID: 634541
                Award ID: 666992
                Funded by: UK MS Society
                Funded by: Michael J. Fox Foundation for Parkinson's Research
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                ana25145
                February 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.3.2.2 mode:remove_FC converted:06.03.2018

                Neurology
                Neurology

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