The correlation between motor and cognitive dysfunction in multiple sclerosis

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Abstract

The correlation between motor and cognitive dysfunction in multiple sclerosis

Konstantin K. Mineev, Andrey M. Petrov, Marina V. Votintseva, Igor' D. Stolyarov

N.P. Beсhtereva Institute of Human Brain of the Russian Academy of Sciences, St. Petersburg, Russia

Introduction. Impaired ambulation is one of the most common and disabling symptoms in multiple sclerosis (MS). Cognitive impairment occurs in the early stages of MS and worsens as the disease progresses.

The aim of the study was to investigate the correlation between walking speed and distance and the severity of neurological and cognitive impairment in MS.

Materials and methods. We examined 59 patients with relapsing-remitting MS in clinical remission. Motor function was evaluated using the timed 25-foot walk (mobility and leg function performance test based on a timed 25-walk), the nine-hole peg test was used to assess upper limb motor function, the Ashworth Scale was used to evaluate lower limb spasticity, the EDSS scale (pyramidal function) was used to evaluate gait spasticity, and tests for sustained attention, counting skills, short-term and delayed memory, mathematical logic, speech fluency, and sensorimotor reaction speed were used to assess cognitive function.

Results. In MS, an increased score on the disability scale was accompanied by increased motor disturbances, reduced distance covered when walking, decreased walking speed, and slower hand movements. Increased spasticity was accompanied by a deterioration in cognitive test performance. The study showed a high correlation between spasticity and reduced computational abilities, mathematical logic, and the ability to remember shapes. Walking distance correlated with attention span and short-term and delayed memory while walking speed characteristics correlated with the movement speed of the non-dominant hand. Slower hand activity correlated with the conducted cognitive tests, with the most significant differences recorded in the non-dominant hand.

Conclusion. The study results indicate significant and varied motor and cognitive dysfunction in MS patients, caused by damage to both the conduction pathways in the brain and spinal cord and the cortical grey matter. The obtained data on the close correlation between motor and cognitive impairments allow us to better understand the mechanisms of MS development and to apply this knowledge in clinical practice.

About the authors

Konstantin K. Mineev

N.P. Beсhtereva Institute of Human Brain of the Russian Academy of Sciences

Email: sid@ihb.spb.ru
Russian Federation, St. Petersburg

Andrey M. Petrov

N.P. Beсhtereva Institute of Human Brain of the Russian Academy of Sciences

Email: sid@ihb.spb.ru
Russian Federation, St. Petersburg

Marina V. Votintseva

N.P. Beсhtereva Institute of Human Brain of the Russian Academy of Sciences

Email: sid@ihb.spb.ru
Russian Federation, St. Petersburg

Igor D. Stolyarov

N.P. Beсhtereva Institute of Human Brain of the Russian Academy of Sciences

Author for correspondence.
Email: sid@ihb.spb.ru
Russian Federation, St. Petersburg

References

  1. Gusev E.I., Boiko A.N., Stolyarov I.D. [Multiple sclerosis]. Moscow, 2015. 448 p. (In Russ.)
  2. Zakharova M.N., ed. [Multiple sclerosis: diagnosis and treatment: a practical guide for doctors]. Moscow, 2018. 240 p. (In Russ.)
  3. Feys P., Severijns D., Vantenderloo S. et al. Spatiotemporal gait parameters change differently according to speed instructions and walking history in MS patients with different ambulatory dysfunction. Mult Scler Relat Disord 2013; 2: 238–246. doi: 10.1016/j.msard.2013.01.004. PMID: 25877730.
  4. Petrov A.M., Stolyarov I.D., Shkilnyuk G.G. et al. [Time course of changes in the development of gait disorders in multiple sclerosis]. Nevrologiya, neyropsikhiatriya, psikhosomatika 2015; 7(1): 27–32. doi: 10.14412/2074-2711-2015-1-27-32. (In Russ.)
  5. Sosnoff J.J., Sandroff B.M., Motl R.W. Quantifying gait abnormalities in persons with multiple sclerosis with minimal disability. Gait Posture 2012; 36: 154–156. doi: 10.1016/j.gaitpost.2011.11.027. PMID: 22424761.
  6. Shmidt T.E., Jahno N.N. [Multiple sclerosis: a guide for physicians]. Moscow, 2016. 272 p. (In Russ.)
  7. McLoughlin J.V., Barr C.J., Patritti B. et al Fatigue induced changes to kinematic and kinetic gait parameters following six minutes of walking in people with multiple sclerosis. Disabil Rehabil 2016; 38: 535–543. doi: 10.3109/09638288.2015.1047969. PMID: 25990573.
  8. Preiningerova J.L., Novotna K., Rusz J. et al. Spatial and temporal characteristics of gait as outcome measures in multiple sclerosis (EDSS 0 to 6.5). J Neuroeng Rehabil 2015, 12: 14. doi: 10.1186/s12984-015-0001-0. PMID: 25890382.
  9. Phan-Ba R., Calay P., Grodent P. et al. Motor fatigue measurement by distance-induced slowdown of walking speed in multiple sclerosis. PLoS One 2012; 7: e34744. doi: 10.1371/journal.pone.0034744. PMID: 22514661.
  10. Cofré Lizama L.E., Khan F., Lee P.V., Galea M.P. The use of laboratory gait analysis for understanding gait deterioration in people with multiple sclerosis. Mult Scler 2016; 22: 1768–1776. doi: 10.1177/1352458516658137. PMID: 27364324.
  11. Pau M., Coghe G., Corona F. et al. Effect of spasticity on kinematics of gait and muscular activation in people with multiple sclerosis. J Neurol Sci 2015; 358: 339–344. doi: 10.1016/j.jns.2015.09.352. PMID: 26409825.
  12. Patti F. Cognitive impairment in multiple sclerosis. Mult Scler 2009; 15: 2–8. doi: 10.1177/1352458508096684. PMID: 18805842.
  13. Jefferies K. The neuropsychiatry of multiple sclerosis. Advan Psychiatr Treat 2006; 12: 214–220. DOI: https://doi.org/10.1192/apt.12.3.214.
  14. Calabrese M., Agosta F., Rinaldi F. et al. Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis. Arch Neurol 2009; 66: 1144–1150. doi: 10.1001/archneurol.2009.174. PMID: 19752305.
  15. Votintseva M.V., Mineev K.K., Petrov A.M. et al. [Connection of cognitive disorders with localization of lesions of the white matter of the brain in patients with multiple sclerosis]. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 2014; 114(10–2): 57–60. (In Russ.)
  16. Bryukhov V.V., Kulikova S.N., Krotenkova M.V. et al. [Modern imaging methods in the pathogenesis of multiple sclerosis]. Annals of Clinical and Experimental Neurology 2013; 7(3): 47–54. (In Russ.)
  17. Smith A. Symbol Digit Modalities Test (SDMT). Manual (revised). L.A., 1982.
  18. Tombaugh T.N. A comprehensive review of the paced auditory serial addition test (PASAT). Arch Clin Neuropsychol 2006; 21: 53–76. doi: 10.1016/j.acn.2005.07.006. PMID: 16290063.
  19. Benedict R.H., Schretlen D., Groninger L. et al. Revision of the Brief Visuospatial Memory Test: studies of normal performance, reliability, and validity. Psychol Assess 1996; 8: 145–153. doi: 10.1037/1040-3590.8.2.145.

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Copyright (c) 2020 Mineev K.K., Petrov A.M., Votintseva M.V., Stolyarov I.D.

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