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Progression of regional grey matter atrophy in multiple sclerosis

Arman Eshaghi, Razvan V Marinescu, Alexandra L Young and 30 more

Brain · 2018 · CC BY

doi:10.1101/190116

Abstract

See Stankoff and Louapre (doi:10.1093/brain/awy114) for a scientific commentary on this article.Grey matter atrophy is present from the earliest stages of multiple sclerosis, but its temporal ordering is poorly understood. We aimed to determine the sequence in which grey matter regions become atrophic in multiple sclerosis and its association with disability accumulation. In this longitudinal study, we included 1417 subjects: 253 with clinically isolated syndrome, 708 with relapsing-remitting multiple sclerosis, 128 with secondary-progressive multiple sclerosis, 125 with primary-progressive multiple sclerosis, and 203 healthy control subjects from seven European centres. Subjects underwent repeated MRI (total number of scans 3604); the mean follow-up for patients was 2.41 years (standard deviation = 1.97). Disability was scored using the Expanded Disability Status Scale. We calculated the volume of brain grey matter regions and brainstem using an unbiased within-subject template and used an established data-driven event-based model to determine the sequence of occurrence of atrophy and its uncertainty. We assigned each subject to a specific event-based model stage, based on the number of their atrophic regions. Linear mixed-effects models were used to explore associations between the rate of increase in event-based model stages, and T2 lesion load, disease-modifying treatments, comorbidity, disease duration and disability accumulation. The first regions to become atrophic in patients with clinically isolated syndrome and relapse-onset multiple sclerosis were the posterior cingulate cortex and precuneus, followed by the middle cingulate cortex, brainstem and thalamus. A similar sequence of atrophy was detected in primary-progressive multiple sclerosis with the involvement of the thalamus, cuneus, precuneus, and pallidum, followed by the brainstem and posterior cingulate cortex. The cerebellum, caudate and putamen showed early atrophy in relapse-onset multiple sclerosis and late atrophy in primary-progressive multiple sclerosis. Patients with secondary-progressive multiple sclerosis showed the highest event-based model stage (the highest number of atrophic regions, P < 0.001) at the study entry. All multiple sclerosis phenotypes, but clinically isolated syndrome, showed a faster rate of increase in the event-based model stage than healthy controls. T2 lesion load and disease duration in all patients were associated with increased event-based model stage, but no effects of disease-modifying treatments and comorbidity on event-based model stage were observed. The annualized rate of event-based model stage was associated with the disability accumulation in relapsing-remitting multiple sclerosis, independent of disease duration (P < 0.0001). The data-driven staging of atrophy progression in a large multiple sclerosis sample demonstrates that grey matter atrophy spreads to involve more regions over time. The sequence in which regions become atrophic is reasonably consistent across multiple sclerosis phenotypes. The spread of atrophy was associated with disease duration and with disability accumulation over time in relapsing-remitting multiple sclerosis.

References 45

  1. 1.

    Audoin B, Zaaraoui W, Reuter F, Rico A, Malikova I, Confort-Gouny S, et alAtrophy mainly affects the limbic system and the deep grey matter at the first stage of multiple sclerosis. J Neurol Neurosurg Psychiatry2010; 81: 690–5.

    Not in our library10.1136/jnnp.2009.188748

  2. 2.

    Battaglini M, Jenkinson M, De Stefano N Evaluating and reducing the impact of white matter lesions on brain volume measurements. Hum Brain Mapp2012; 33: 2062–71.

    Not in our library10.1002/hbm.21344

  3. 3.

    Biberacher V, Boucard CC, Schmidt P, Engl C, Buck D, Berthele A, et alAtrophy and structural variability of the upper cervical cord in early multiple sclerosis. Mult Scler2015; 21: 875–84.

    Not in our library10.1177/1352458514546514

  4. 4.

    Bodini B, Chard D, Altmann DR, Tozer D, Miller DH, Thompson AJ, et alWhite and gray matter damage in primary progressive MS: the chicken or the egg?Neurology2016; 86: 170–6.

    Not in our library10.1212/wnl.0000000000002237

  5. 5.

    Bonavita S, Gallo A, Sacco R, Corte MD, Bisecco A, Docimo R, et alDistributed changes in default-mode resting-state connectivity in multiple sclerosis. Mult Scler2011; 17: 411–22.

    Not in our library10.1177/1352458510394609

  6. 6.

    Calabrese M, Magliozzi R, Ciccarelli O, Geurts JJG, Reynolds R, Martin R Exploring the origins of grey matter damage in multiple sclerosis. Nat Rev Neurosci2015a; 16: 147–58.

    Not in our library10.1038/nrn3900

  7. 7.

    Calabrese M, Reynolds R, Magliozzi R, Castellaro M, Morra A, Scalfari A, et alRegional distribution and evolution of gray matter damage in different populations of multiple sclerosis patients. PloS One2015b; 10: e0135428.

    Not in our library10.1371/journal.pone.0135428

  8. 8.

    Cardoso MJ, Modat M, Wolz R, Melbourne A, Cash D, Rueckert D, et alGeodesic information flows: spatially-variant graphs and their application to segmentation and fusion. IEEE Trans Med Imaging2015; 34: 1976–88.

    Not in our library10.1109/tmi.2015.2418298

  9. 9.

    Ceccarelli A, Rocca MA, Pagani E, Colombo B, Martinelli V, Comi G, et alA voxel-based morphometry study of grey matter loss in MS patients with different clinical phenotypes. NeuroImage2008; 42: 315–22.

    Not in our library10.1016/j.neuroimage.2008.04.173

  10. 10.

    Choi SR, Howell OW, Carassiti D, Magliozzi R, Gveric D, Muraro PA, et alMeningeal inflammation plays a role in the pathology of primary progressive multiple sclerosis. Brain2012; 135: 2925–37.

    Not in our library10.1093/brain/aws189

  11. 11.

    Cohen JA, Barkhof F, Comi G, Hartung H-P, Khatri BO, Montalban X, et alOral fingolimod or intramuscular interferon for relapsing multiple sclerosis. N Engl J Med2010; 362: 402–15.

    Not in our library10.1056/nejmoa0907839

  12. 12.

    Eshaghi A, Bodini B, Ridgway GR, Garcia-Lorenzo D, Tozer DJ, Sahraian MA, et alTemporal and spatial evolution of grey matter atrophy in primary progressive multiple sclerosis. Neuroimage2014; 86: 257–64.

    Not in our library10.1016/j.neuroimage.2013.09.059

  13. 13.

    Eshaghi A, Prados F, Brownlee W, Altmann DR, Tur C, Cardoso MJ, et alDeep gray matter volume loss drives disability worsening in multiple sclerosis. Ann Neurol2018; 83: 210–22.

    Not in our library10.1002/ana.25145

  14. 14.

    Filippi M, Preziosa P, Copetti M, Riccitelli G, Horsfield MA, Martinelli V, et alGray matter damage predicts the accumulation of disability 13 years later in MS. Neurology2013; 81: 1759–67.

    Not in our library10.1212/01.wnl.0000435551.90824.d0

  15. 15.

    Filippi M, Rocca MA, Barkhof F, Brück W, Chen JT, Comi G, et alAssociation between pathological and MRI findings in multiple sclerosis. Lancet Neurol2012; 11: 349–60.

    Not in our library10.1016/s1474-4422(12)70003-0

  16. 16.

    Filippi M, Rovaris M, Inglese M, Barkhof F, De Stefano N, Smith S, et alInterferon beta-1a for brain tissue loss in patients at presentation with syndromes suggestive of multiple sclerosis: a randomised, double-blind, placebo-controlled trial. Lancet2004; 364: 1489–96.

    Not in our library10.1016/s0140-6736(04)17271-1

  17. 17.

    Fisher E, Lee J-C, Nakamura K, Rudick RA Gray matter atrophy in multiple sclerosis: a longitudinal study. Ann Neurol2008; 64: 255–65.

    Not in our library10.1002/ana.21436

  18. 18.

    Fisniku LK, Chard DT, Jackson JS, Anderson VM, Altmann DR, Miszkiel KA, et alGray matter atrophy is related to long-term disability in multiple sclerosis: GM Atrophy and Disability in MS. Ann Neurol2008; 64: 247–54.

    Not in our library10.1002/ana.21423

  19. 19.

    Fonteijn HM, Clarkson MJ, Modat M, Barnes J, Lehmann M, Ourselin S, et alAn event-based disease progression model and its application to familial Alzheimer’s disease. Inf Process Med Imaging2011; 22: 748–59.

    Not in our library10.1007/978-3-642-22092-0_61

  20. 20.

    Fonteijn HM, Modat M, Clarkson MJ, Barnes J, Lehmann M, Hobbs NZ, et alAn event-based model for disease progression and its application in familial Alzheimer’s disease and Huntington’s disease. NeuroImage2012; 60: 1880–9.

    Not in our library10.1016/j.neuroimage.2012.01.062

  21. 21.

    Geraldes R, Esiri MM, DeLuca GC, Palace J Age-related small vessel disease: a potential contributor to neurodegeneration in multiple sclerosis. Brain Pathol2017; 27: 707–22.

    Not in our library10.1111/bpa.12460

  22. 22.

    Gilmore CP, Donaldson I, Bö L, Owens T, Lowe J, Evangelou N Regional variations in the extent and pattern of grey matter demyelination in multiple sclerosis: a comparison between the cerebral cortex, cerebellar cortex, deep grey matter nuclei and the spinal cord. J Neurol Neurosurg Psychiatry2009; 80: 182–7.

    Not in our library10.1136/jnnp.2008.148767

  23. 23.

    Haider L, Simeonidou C, Steinberger G, Hametner S, Grigoriadis N, Deretzi G, et alMultiple sclerosis deep grey matter: the relation between demyelination, neurodegeneration, inflammation and iron [Internet]. J Neurol Neurosurg Psychiatry2014 Available from: http://www.ncbi.nlm.nih.gov/pubmed/24899728

    Not in our library10.1136/jnnp-2014-307712

  24. 24.

    Haider L, Zrzavy T, Hametner S, Höftberger R, Bagnato F, Grabner G, et alThe topograpy of demyelination and neurodegeneration in the multiple sclerosis brain. Brain J Neurol2016; 139: 807–15.

    Not in our library10.1093/brain/awv398

  25. 25.

    Howell OW, Reeves CA, Nicholas R, Carassiti D, Radotra B, Gentleman SM, et alMeningeal inflammation is widespread and linked to cortical pathology in multiple sclerosis. Brain J Neurol2011; 134: 2755–71.

    Not in our library10.1093/brain/awr182

  26. 26.
  27. 27.

    Kurtzke JF Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology1983; 33: 1444–52.

    Not in our library10.1212/wnl.33.11.1444

  28. 28.

    Kutzelnigg A, Faber-Rod JC, Bauer J, Lucchinetti CF, Sorensen PS, Laursen H, et alWidespread demyelination in the cerebellar cortex in multiple sclerosis. Brain Pathol Zurich Switz2007; 17: 38–44.

    Not in our library10.1111/j.1750-3639.2006.00041.x

  29. 29.

    Mahad DH, Trapp BD, Lassmann H Pathological mechanisms in progressive multiple sclerosis. Lancet Neurol2015; 14: 183–93.

    Not in our library10.1016/s1474-4422(14)70256-x

  30. 30.

    Marrie RA, Horwitz RI Emerging effects of comorbidities on multiple sclerosis. Lancet Neurol2010; 9: 820–28.

    Not in our library10.1016/s1474-4422(10)70135-6

  31. 31.

    Minagar A, Barnett MH, Benedict RH, Pelletier D, Pirko I, Sahraian MA, et alThe thalamus and multiple sclerosis: modern views on pathologic, imaging, and clinical aspects. Neurology2013; 80: 210–19.

    Not in our library10.1212/wnl.0b013e31827b910b

  32. 32.

    Pardini M, Sudre CH, Prados F, Yaldizli Ö, Sethi V, Muhlert N, et alRelationship of grey and white matter abnormalities with distance from the surface of the brain in multiple sclerosis. J Neurol Neurosurg Psychiatry2016; 87: 1212–17.

    Not in our library10.1136/jnnp-2016-313979

  33. 33.
  34. 34.

    Preziosa P, Pagani E, Mesaros S, Riccitelli GC, Dackovic J, Drulovic J, et alProgression of regional atrophy in the left hemisphere contributes to clinical and cognitive deterioration in multiple sclerosis: A 5-year study. Hum Brain Mapp2017; 38: 5648–65.

    Not in our library10.1002/hbm.23755

  35. 35.

    Raichle ME The brain’s default mode network. Annu Rev Neurosci2015; 38: 433–47.

    Not in our library10.1146/annurev-neuro-071013-014030

  36. 36.

    Reuter M, Fischl B Avoiding asymmetry-induced bias in longitudinal image processing. NeuroImage2011; 57: 19–21.

    Not in our library10.1016/j.neuroimage.2011.02.076

  37. 37.

    Reuter M, Rosas HD, Fischl B Highly accurate inverse consistent registration: a robust approach. NeuroImage2010; 53: 1181–96.

    Not in our library10.1016/j.neuroimage.2010.07.020

  38. 38.

    Reuter M, Schmansky NJ, Rosas HD, Fischl B Within-subject template estimation for unbiased longitudinal image analysis. NeuroImage2012; 61: 1402–18.

    Not in our library10.1016/j.neuroimage.2012.02.084

  39. 39.

    Rocca MA, Mesaros S, Pagani E, Sormani MP, Comi G, Filippi M Thalamic damage and long-term progression of disability in multiple sclerosis. Radiology2010; 257: 463–9.

    Not in our library10.1148/radiol.10100326

  40. 40.

    Ruggieri S, Petracca M, Miller A, Krieger S, Ghassemi R, Bencosme Y, et alAssociation of deep grey matter damage with cortical and spinal cord degeneration in primary progressive multiple sclerosis. JAMA Neurol2015; 72: 1466–74.

    Not in our library10.1001/jamaneurol.2015.1897

  41. 41.

    Steenwijk MD, Geurts JJG, Daams M, Tijms BM, Wink AM, Balk LJ, et alCortical atrophy patterns in multiple sclerosis are non-random and clinically relevant. Brain J Neurol2016; 139: 115–26.

    Not in our library10.1093/brain/awv337

  42. 42.

    Trapp BD, Stys PK Virtual hypoxia and chronic necrosis of demyelinated axons in multiple sclerosis. Lancet Neurol2009; 8: 280–91.

    Not in our library10.1016/s1474-4422(09)70043-2

  43. 43.

    Tustison NJ, Avants BB, Cook PA, Zheng Y, Egan A, Yushkevich PA, et alN4ITK: improved N3 bias correction. IEEE Trans Med Imaging2010; 29: 1310–20.

    Not in our library10.1109/tmi.2010.2046908

  44. 44.
  45. 45.

    Zhang D, Raichle ME Disease and the brain’s dark energy. Nat Rev Neurol2010; 6: 15–28.

    Not in our library10.1038/nrneurol.2009.198

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