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Measuring and Interpreting White Matter Volume Changes in Multiple Sclerosis

  • C. Wegner
  • S. Smith
  • P. M. Matthews
Chapter
Part of the Topics in Neuroscience book series (TOPNEURO)

Abstract

Neuronal and axonal degeneration have become recognized as major elements in the pathology of multiple sclerosis (MS). Interest has developed in monitoring these events in vivo with the recognition that they are closely coupled to development of disability [1]. A compelling question at present is the extent to which these phenomena are linked to the predominantly T-cell-mediated inflammatory changes in white matter (“plaques”), hitherto believed to be the pathological hallmark of MS.

Keywords

Multiple Sclerosis White Matter Brain Volume Brain Atrophy Axonal Loss 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Losseff NA, Wang L, Lai HM et al (1996) Progressive cerebral atrophy in multiple sclerosis. A serial MRI study. Brain 119:2009–2019PubMedCrossRefGoogle Scholar
  2. 2.
    Peterson JW, Bo L, Mork S et al (2001) Transected neurites, apoptotic neurons, and reduced inflammation in cortical multiple sclerosis lesions. Ann Neurol 50:389–400PubMedCrossRefGoogle Scholar
  3. 3.
    Ferguson B, Matyszak MK, Esiri MM et al (1997) Axonal damage in acute multiple sclerosis lesions. Brain 120:393–399PubMedCrossRefGoogle Scholar
  4. 4.
    Cifelli A, Arridge M, Jezzard P et al (2002) Thalamic neurodegeneration in multiple sclerosis. Ann Neurol 52:650–653PubMedCrossRefGoogle Scholar
  5. 5.
    Evangelou N, Konz D, Esiri MM et al (2000) Regional axonal loss in the corpus callo-sum correlates with cerebral white matter lesion volume and distribution in multiple sclerosis. Brain 123:1845–1849PubMedCrossRefGoogle Scholar
  6. 6.
    Evangelou N, Esiri MM, Smith S et al (2000) Quantitative pathological evidence for axonal loss in normal appearing white matter in multiple sclerosis. Ann Neurol 47:391–395PubMedCrossRefGoogle Scholar
  7. 7.
    Coles AJ, Wing MG, Molyneux P et al (1999) Monoclonal antibody treatment exposes three mechanisms underlying the clinical course of multiple sclerosis. Ann Neurol 46:296–304PubMedCrossRefGoogle Scholar
  8. 8.
    Rudick RA, Fisher E, Lee J-C et al (1999) Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS. Neurology 53:1698–1704PubMedCrossRefGoogle Scholar
  9. 9.
    Liu C, Edwards S, Gong Q et al (1999) Three dimensional MRI estimates of brain and spinal cord atrophy in multiple sclerosis. J Neurol Neurosurg Psychiatry 66:323–330PubMedCrossRefGoogle Scholar
  10. 10.
    Fox NC, Jenkins R, Leary SM et al (2000) Progressive cerebral atrophy in MS. A serial study using registered, volumetric MRI. Neurology 54:807–812Google Scholar
  11. 11.
    Coffey CE, Wilkinson WE, Parashos IA et al (1992) Quantitative cerebral anatomy of the aging human brain: a cross-sectional study using magnetic resonance imaging. Neurology 42:527–536PubMedCrossRefGoogle Scholar
  12. 12.
    Pfefferbaum A, Mathalon DH, Sullivan EV et al (1994) A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol 51:874–887PubMedCrossRefGoogle Scholar
  13. 13.
    Gur RC, Mozley PD, Resnick SM et al (1991) Gender differences in age effect on brain atrophy measured by magnetic resonance imaging. Proc Natl Acad Sci USA 88:2845–2849PubMedCrossRefGoogle Scholar
  14. 14.
    Scahill RI, Frost C, Jenkins R et al (2003) A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. Arch Neurol 60:989–994PubMedCrossRefGoogle Scholar
  15. 15.
    Dalton CM, Brex PA, Jenkins R et al (2002) Progressive ventricular enlargement in patients with clinically isolated syndromes is associated with the early development of multiple sclerosis. J Neurol Neurosurg Psychiatry 73:141–147PubMedCrossRefGoogle Scholar
  16. 16.
    Chard DT, Griffin CM, Parker GJM et al (2002) Brain atrophy in clinically early relapsing-remitting multiple sclerosis. Brain 125:327–337PubMedCrossRefGoogle Scholar
  17. 17.
    Brex PA, Jenkins R, Fox NC et al (2000) Detection of ventricular enlargement in patients at the earliest clinical stage of MS. Neurology 54:1689–1691PubMedCrossRefGoogle Scholar
  18. 18.
    Fisher E, Rudick RA, Simon JH et al (2002) Eight-year follow-up study of brain atrophy in patients with MS. Neurology 59:1412–1420PubMedCrossRefGoogle Scholar
  19. 19.
    Narayanan S, Fu L, Pioro E et al (1997) Imaging of axonal damage in multiple sclerosis: spatial distribution of magnetic resonance imaging lesions. Ann Neurol 41:385–391PubMedCrossRefGoogle Scholar
  20. 20.
    Simon JH, Jacobs LD, Campion MK et al (1999) A longitudinal study of brain atrophy in relapsing multiple sclerosis. Neurology 53:139–148PubMedCrossRefGoogle Scholar
  21. 21.
    Molyneux PD, Kappos L, Polman C et al (2000) The effect of interferon beta-lb treatment on MRI measures of cerebral atrophy in secondary progressive multiple sclerosis. European Study Group on Interferon beta-1b in secondary progressive multiple sclerosis. Brain 123:2256–2263PubMedCrossRefGoogle Scholar
  22. 22.
    van Walderveen MAA, Kamphorst W, Scheltens P et al (1998) Histopathologic correlate of hypointense lesions on Tl-weighted spin-echo MRI in multiple sclerosis. Neurology 50:1282–1288PubMedCrossRefGoogle Scholar
  23. 23.
    Sailer M, Losseff N, Wang L et al (2001) Tl lesion load and cerebral atrophy as a marker for clinical progression in patients with multiple sclerosis. A prospective 18 months follow-up study. Eur J Neurol 8:37–42PubMedCrossRefGoogle Scholar
  24. 24.
    Paolillo A, Pozzilli C, Gasperini C et al (2000) Brain atrophy in relapsing-remitting multiple sclerosis: relationship with ‘black holes’, disease duration and clinical disability. J Neurol Sci 174:85–91PubMedCrossRefGoogle Scholar
  25. 25.
    Adams C (1998) A colour atlas of multiple sclerosis and other myelin disorders. Wolfe, LondonGoogle Scholar
  26. 26.
    De Stefano N, Iannucci G, Sormani MP et al (2002) MR correlates of cerebral atrophy in patients with multiple sclerosis. J Neurol 249:1072–1077PubMedCrossRefGoogle Scholar
  27. 27.
    Prineas JW, Connell F (1979) Remyelination in multiple sclerosis. Ann Neurol 5:22–31PubMedCrossRefGoogle Scholar
  28. 28.
    Uylings HB, de Brabander JM (2002) Neuronal changes in normal human aging and Alzheimer’s disease. Brain Cogn 49:268–276PubMedCrossRefGoogle Scholar
  29. 29.
    DeLuca G, Ebers GC, Esiri MM (2003) Axonal loss in multiple sclerosis: a pathological survey of the corticospinal and sensory tracts [abstract]. Brain Pathol 13:48Google Scholar
  30. 30.
    Bo L, Vedeler CA, Nyland HI et al (2003) Subpial demyelination in the cerebral cortex of multiple sclerosis patients. J Neuropathol Exp Neurol 62:723–732PubMedGoogle Scholar
  31. 31.
    Wegner C, Esiri MM, Palace J et al (2003) Synaptic loss in cortical lesions of multiple sclerosis [abstract]. Mult Scler 9:P612CrossRefGoogle Scholar
  32. 32.
    De Stefano N, Matthews PM, Filippi M et al (2003) Evidence of early cortical atrophy in MS: relevance to white matter changes and disability. Neurology 60:1157–1162PubMedCrossRefGoogle Scholar
  33. 33.
    Chen J, Matthews PM, Arnold DL et al (2001) Regional brain atrophy in multiple sclerosis: increasing sensitivity to differences in relapsing-remitting and secondaryprogressive disease [abstract]. Proc Intl Soc Mag Reson Med 9:265Google Scholar
  34. 34.
    Sailer M, Fischl B, Salat D et al (2003) Focal thinning of the cerebral cortex in multiple sclerosis. Brain 126:1734–1744PubMedCrossRefGoogle Scholar
  35. 35.
    Walters RJ, Fox NC, Crum WR et al (2001) Haemodialysis and cerebral oedema. Nephron 87:143–147PubMedCrossRefGoogle Scholar
  36. 36.
    Mellanby A, Reveley M (1982) Effects of acute dehydration on computerized tomographic assessment of cerebral density and ventricular volume. Lancet 2:874PubMedCrossRefGoogle Scholar
  37. 37.
    Carlen P, Wotzmann G, Holgate R et al (1978) Reversible brain atrophy in recently abstinent alcoholics measured by computed tomography scans. Science 200:1076–1078PubMedCrossRefGoogle Scholar
  38. 38.
    Ron M, Acker W, Shaw G et al (1982) Computerized tomography of the brain in chronic alcoholism: a survey and follow-up study. Brain 105:497–514PubMedCrossRefGoogle Scholar
  39. 39.
    Helms G (2003) Volume correction for oedema in single-volume proton MR spectroscopy of contrast-enhancing multiple sclerosis lesions. Magn Reson Med 46:256–263CrossRefGoogle Scholar
  40. 40.
    Whittall K, MacKay A, Li D et al (2002) Normal-appearing white matter in multiple sclerosis has heterogenous, diffusely prolonged T2. Magn Reson Med 47:403–408PubMedCrossRefGoogle Scholar
  41. 41.
    Rao AB, Richert N, Howard T et al (2002) Methylprednisolone effect on brain vol-ume and enhancing lesions in MS before and during IFNbeta-lb. Neurology 59:688– 694PubMedCrossRefGoogle Scholar
  42. 42.
    Parry A, Corkill R, Blamire AM et al (2003) Beta-Interferon treatment does not always slow the progression of axonal injury in multiple sclerosis. J Neurol 250:171–178.PubMedCrossRefGoogle Scholar
  43. 43.
    Stevenson VL, Miller DH, Leary SM et al (2000) One year follow up study of prima-ry and transitional progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 68:713–718PubMedCrossRefGoogle Scholar
  44. 44.
    Edwards SG, Gong QY, Liu C et al (1999) Infratentorial atrophy on magnetic reso-nance imaging and disability in multiple sclerosis. Brain 122:291–301PubMedCrossRefGoogle Scholar
  45. 45.
    Collins DL, Montagnat J, Zijdenbos A et al (2001) Automated estimation of brain volume in multiple sclerosis with BICCR. Lect Notes Comput Sci 2082:141–147CrossRefGoogle Scholar
  46. 46.
    Smith SM, De Stefano N, Jenkinson M et al (2001) Normalized accurate measure-ment of longitudinal brain change. J Comput Assist Tomogr 25:466–475PubMedCrossRefGoogle Scholar
  47. 47.
    Smith SM, Zhang Y, Jenkinson M et al (2002) Accurate, robust, and automated longi-tudinal and cross-sectional brain change analysis. Neuroimage 17:479–489PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Italia 2004

Authors and Affiliations

  • C. Wegner
  • S. Smith
  • P. M. Matthews

There are no affiliations available

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