Longitudinal cortex reorganization and white matter tracts structural changes analysis in relapsing-remitting multiple sclerosis patients with hand palsy

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Abstract

Motor disorders are a frequent syndrome in multiple sclerosis (MS), leading to severe disability, possibly associated with inefficiency of adaptive mechanisms, probably because of widespread structural changes. Hand palsy with fine motor skills damage influences greatly on quality of life, because hand function plays an important role in everyday activities and working practices. Thus the aim of the study was to investigate functional and structural features of hand palsy in homogenous sample of MS patients during the relapse and in three months. Data were acquired from 25 relapsing-remitting MS patients during relapse also characterized by unilateral light hand palsy, and in three months. 12 age-matched healthy controls entered the control group. All patients underwent neurologica examination, including nine-hole peg test and dynamometry, and magnetic resonance imaging of cervical spine and brain, including functional MRI and diffusion tensor imaging (DTI) sequences. All patients had lesions in spinal cord on cervical spine MRI. fMRI data analysis during relapse showed differently directed activation changes and allowed to divide all patients in two subgroups. These subgroups differed from each other and control group by deep sensitivity and DTI values. In three months patients in the first subgroup had less complete fine motor skills recovery, which was accompanied also by preservation of activation changes and deep sensitivity asymmetry in comparison with the second subgroup. Received data allow us to assume that clinically similar palsy, caused by spinal cord lesion, could be characterized by greater or lesser sensation impairment contribution. In three months heterogeneous structural and functional changes were observed, depending, possibly, on initially different pathologic mechanisms. Revealed differences should be taken into consideration while rehabilitation planning.

About the authors

S. N. Kulikova

Research Center of Neurology

Author for correspondence.
Email: kulikovasn@gmail.com
Russian Federation, Moscow

A. V. Peresedova

Research Center of Neurology

Email: kulikovasn@gmail.com
Russian Federation, Moscow

Marina V. Krotenkova

Research Center of Neurology

Email: kulikovasn@gmail.com
ORCID iD: 0000-0003-3820-4554

D. Sci. (Med.), Head, Neuroradiology department

Russian Federation, 125367 Moscow, Volokolamskoye shosse, 80

V. V. Bryukhov

Research Center of Neurology

Email: kulikovasn@gmail.com
Russian Federation, Moscow

O. V. Trifonova

Research Center of Neurology

Email: kulikovasn@gmail.com
Russian Federation, Moscow

I. A. Zavalishin

Research Center of Neurology

Email: kulikovasn@gmail.com
Russian Federation, Moscow

References

  1. Гусев Е.А., Завалишин И.А., Бойко А.Н. Рассеянный склероз и другие демиелинизирующие заболевания. Клиническое руководство. М.: Реал Тайм, 2011: 528.
  2. Завалишин И.А., Переседова А.В., Кротенкова М.В. и др. Кортикальная реорганизация при рассеянном склерозе (обзор литературы). Анналы клинич. и эксперим. неврол. 2008; 2 (2): 28–34.
  3. Basser P.J., Pierpaoli C. Microstructural features measured using diffusion tensor imaging. J Magn Reson B 1996; 111: 209–219.
  4. Budde M.D., Kim J.H., Liang H.F. et al. Toward accurate diagnosis of white matter pathology using diffusion tensor imaging. Magn Reson Med 2007; 57: 688–695.
  5. Carey L.M. Somatosensory loss after stroke. Crit Rev Phys Rehabil Med. 1995; 7: 51–91.
  6. Ciccarelli O., Wheeler-Kingshott C.A., McLean M.A. et al. Spinal cord spectroscopy and diffusion-based tractography to assess acute disability in multiple sclerosis. Brain 2007; 130: 2220–2231.
  7. Donaldson D.I., Buckner R.L. Effective paradigm design. In: Jezzard, P., Matthews, P.M., Smith, S.M. (Eds.), Functional MRI, an Introduction to Methods. Oxford University Press, Oxford, 177–197.
  8. Filippi M., Rocca M.A., Comi G. The use of quantitative magneticresonance-based techniques to monitor the evolution of multiple sclerosis. Lancet Neurol 2003a; 2: 337–346.
  9. Filippi M., Rocca M.A. Cortical reorganisation in patients with MS. J Neurol Neurosurg Psychiatry 2004b; 75: 1087–1089.
  10. Filippi M., Rocca M.A. Magnetization transfer magnetic resonance imaging in the assessment of neurological diseases. J Neuroimaging 2004a;14: 303–13 [Review].
  11. Filippi M., Cercignani M., Inglese M. et al. Diffusion tensor magnetic resonance imaging in multiple sclerosis. Neurology 2001; 56: 304–311.
  12. Filippi M., Rocca M.A. Functional MR Imaging in Multiple Sclerosis Neuroimag Clin N Am 19. 2009: 59–70.
  13. Freund P., Wheeler-Kingshott C., Jackson J. et al. Recovery after spinal cord relapse in multiple sclerosis is predicted by radial diffusivity. Multiple Sclerosis, 2010; 16: 1193–1202.
  14. Friston K.J., Holmes A.P., Poline J.B. et al. Analysis of fMRI timeseries revisited. Neuroimage 1995; 2: 45.
  15. Hofer S., Merboldt K.-D., Tammer R., Frahm J. Rhesus monkey and human share a similar topography of the corpus Ccallosum as revealed by diffusion tensor MRI in vivo. Cereb. Cortex 2008; 18 (5): 1079-1084
  16. Holodny A.I., Gor D.M., Watts R. et al. Diffusion-tensor MR tractography of somatotopic organization of corticospinal tracts in the internal capsule: initial anatomic results in contradistinction to prior reports. Radiology. 2005; 234: 649–653.
  17. Hummelsheim H., Amberger S., Mauritz K.H. The influence of EMG-initiated electrical muscle stimulation on motor recovery of the centrally paretic hand.E ur J Neurol 1996; 3: 245–254.
  18. Keller A., Iriki A., Asanuma H. Identification of neurons producing
  19. LTP in the cat motor cortex: intracellular recordings and labeling.J Comp Neurol 1990b; 300: 47–60.
  20. LeBihan D. Looking into the functional architecture of the brain with diffusion MRI. Nat Rev Neurosci 2003; 4: 469–80.
  21. Lin F., Yu C., Jiang T. et al. Diffusion tensor tractographybased group mapping of the pyramidal tract in relapsing-remitting multiple sclerosis patients. AJNR Am J Neuroradiol 2007; 28: 278–282.
  22. Mancini L., Ciccarelli O. Manfredonia F. et al. Short-term adaptation to a simple motor task: A physiological process preserved in multiple sclerosis, NeuroImage 2009; 45: 500–511.
  23. Pagani E., Filippi M., Rocca M.A., Horsfield M.A. A method for obtaining tract-specific diffusion tensor MRI measurements in the presence of disease: application to patients with clinically isolated syndromes suggestive of multiple sclerosis. Neuroimage 2005; 26 (1): 258 –265.
  24. Pierpaoli C., Basser P.J. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 1996; 36: 893–906.
  25. Pierpaoli C., Jezzard P., Basser P.J. et al. Diffusion tensor MR imaging of the human brain. Radiology 1996; 201: 637–648.
  26. Reddy H., Narayanan S., Matthews P.M. et al. Relating axonal injury to functional recovery in MS. Neurology 2000; 54: 236–39.
  27. Reddy H., Narayanan S., Woolrich M. et al. Functional brain reorganization for hand movement in patients with multiple sclerosis: defining distinct effects of injury and disability. Brain. 2002; 125 (Pt 12): 2646–2657.
  28. Rocca Maria A, Bruno Colombo, Andrea Falini et al. Cortical adaptation in patients with MS: a cross-sectional functional MRI study of disease phenotypes Lancet Neurol 2005; 4: 618–626.
  29. Rovaris M., Filippi M. Diffusion tensor MRI in multiple sclerosis. J Neuroimaging 2007; 17.(Suppl 1): 27S-30S.
  30. Tzvetanov P., Rousseff R.T. Median SSEP changes in hemiplegic stroke: Long-term predictive values regarding ADL recovery. Neuro Rehabilitation 2003; 18: 317–324.
  31. Weiss T., Sens E., Teschner U. et al. Deafferentation of the Affected Arm: A Method to Improve Rehabilitation? Stroke. 2011; 42: 1363–1370.
  32. Wilson M., Tench C.R., Morgan P.S., Blumhardt L.D. Pyramidal tract mapping by diff usion tensor magnetic resonance imaging in multiple sclerosis: improving correlations with disability. J Neurol Neurosurg Psychiatry 2003; 74: 203–207.

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Copyright (c) 2014 Kulikova S.N., Peresedova A.V., Krotenkova M.V., Bryukhov V.V., Trifonova O.V., Zavalishin I.A.

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