Rhythmic cued motor imagery and walking in people with multiple sclerosis: A randomised controlled feasibility study

Pilot and Feasibility Studies

Volumn 1, Issue 1, 2015, Pages

  Seebacher, Barbara ^a   Kuisma, Raija ^a   Glynn, Angela ^a   Berger, Thomas ^b  

^a UNIVERSITY OF BRIGHTON   (United Kingdom)

^b INNSBRUCK MEDICAL UNIVERSITY   (Austria)

Author keywords

Multiple sclerosis; Physiotherapy; Rhythmic cued motor imagery; Walking

Indexed keywords

EID: 85011883373     PISSN: None     EISSN: 20555784     Source Type: Journal    
DOI: 10.1186/s40814-015-0021-3     Document Type: Article

References (63)

1. Heesen C, Bohm J, Reich C, Kasper J, Goebel M, Gold SM. Patient perception of bodily functions in multiple sclerosis: gait and visual function are the most valuable. Mult Scler. 2008;14(7):988-91. doi: 10.1177/1352458508088916.
2. Pilutti L, Dlugonski D, Sandroff B, Klaren R, Motl R. Randomized controlled trial of a behavioral intervention targeting symptoms and physical activity in multiple sclerosis. Mult Scler. 2013. doi: 10.1177/1352458513503391.
3. Yildiz M. The impact of slower walking speed on activities of daily living in patients with multiple sclerosis. Int J Clin Pract. 2012;66(11):1088-94. doi: 10.1111/ijcp.12003.
4. Sa MJ. Exercise therapy and multiple sclerosis: a systematic review. J Neurol. 2013. doi: 10.1007/s00415-013-7183-9.
5. Decety J. Do imagined and executed actions share the same neural substrate? Brain Res Cogn Brain Res. 1996;3(2):87-93.
6. Catalan M, De Michiel A, Bratina A, Mezzarobba S, Pellegrini L, Marcovich R, et al. Treatment of fatigue in multiple sclerosis patients: a neurocognitive approach. Rehabil Res Pract. 2011;2011:670537. doi: 10.1155/2011/670537.
7. Cho HY, Kim JS, Lee GC. Effects of motor imagery training on balance and gait abilities in post-stroke patients: a randomized controlled trial. Clin Rehabil. 2013;27(8):675-80. doi: 10.1177/0269215512464702.
8. Schuster C, Butler J, Andrews B, Kischka U, Ettlin T. Comparison of embedded and added motor imagery training in patients after stroke: results of a randomised controlled pilot trial. Trials. 2012;13:11. doi: 10.1186/1745-6215-13-11.
9. Jackson PL, Lafleur MF, Malouin F, Richards C, Doyon J. Potential role of mental practice using motor imagery in neurologic rehabilitation. Arch Phys Med Rehabil. 2001;82(8):1133-41. doi: 10.1053/apmr.2001.24286.
10. Schuster C, Hilfiker R, Amft O, Scheidhauer A, Andrews B, Butler J, et al. Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines. BMC Med. 2011;9:75. doi: 10.1186/1741-7015-9-75.
11. Louis M, Guillot A, Maton S, Doyon J, Collet C. Effect of imagined movement speed on subsequent motor performance. J Mot Behav. 2008;40(2):117-32. doi: 10.3200/JMBR.40.2.117-132.
12. Heremans E, D'Hooge AM, De Bondt S, Helsen W, Feys P. The relation between cognitive and motor dysfunction and motor imagery ability in patients with multiple sclerosis. Mult Scler. 2012;18(9):1303-9. doi: 10.1177/1352458512437812.
13. Heremans E, Nieuwboer A, Spildooren J, De Bondt S, D'Hooge AM, Helsen W, et al. Cued motor imagery in patients with multiple sclerosis. Neuroscience. 2012;206:115-21. doi: 10.1016/j.neuroscience.2011.12.060.
14. Handbook of neurologic music therapy. Oxford, UK: Oxford University Press; 2014.
15. Thaut MH. Rhythm, music and the brain. Scientific foundations and clinical applications. Studies on new music research. 1st ed. Oxon, UK: Routledge New York and London; 2005.
16. Thaut MH, Miltner R, Lange HW, Hurt CP, Hoemberg V. Velocity modulation and rhythmic synchronization of gait in Huntington's disease. Mov Disord. 1999;14(5):808-19.
17. Wittwer JE, Webster KE, Hill K. Music and metronome cues produce different effects on gait spatiotemporal measures but not gait variability in healthy older adults. Gait Posture. 2013;37(2):219-22. doi: 10.1016/j.gaitpost.2012.07.006.
18. Styns F, van Noorden L, Moelants D, Leman M. Walking on music. Hum Mov Sci. 2007;26(5):769-85. doi: 10.1016/j.humov.2007.07.007.
19. Thaut MH, Leins AK, Rice RR, Argstatter H, Kenyon GP, McIntosh GC, et al. Rhythmic auditory stimulation improves gait more than NDT/Bobath training in near-ambulatory patients early poststroke: a single-blind, randomized trial. Neurorehabil Neural Repair. 2007;21(5):455-9. doi: 10.1177/1545968307300523.
20. Kadivar Z, Corcos DM, Foto J, Hondzinski JM. Effect of step training and rhythmic auditory stimulation on functional performance in Parkinson patients. Neurorehabil Neural Repair. 2011;25(7):626-35. doi: 10.1177/1545968311401627.
21. Baram Y, Miller A. Auditory feedback control for improvement of gait in patients with multiple sclerosis. J Neurol Sci. 2007;254(1-2):90-4. doi: 10.1016/j.jns.2007.01.003.
22. Conklyn D, Stough D, Novak E, Paczak S, Chemali K, Bethoux F. A home-based walking program using rhythmic auditory stimulation improves gait performance in patients with multiple sclerosis: a pilot study. Neurorehabil Neural Repair. 2010;24(9):835-42. doi: 10.1177/1545968310372139.
23. Braun S, Kleynen M, van Heel T, Kruithof N, Wade D, Beurskens A. The effects of mental practice in neurological rehabilitation; a systematic review and meta-analysis. Front Hum Neurosci. 2013;7:390. doi: 10.3389/fnhum.2013.00390.
24. Kim JS, Oh DW, Kim SY, Choi JD. Visual and kinesthetic locomotor imagery training integrated with auditory step rhythm for walking performance of patients with chronic stroke. Clin Rehabil. 2011;25(2):134-45. doi: 10.1177/0269215510380822.
25. Schaefer RS. Images of time: temporal aspects of auditory and movement imagination. Front Psychol. 2014;5:877. doi: 10.3389/fpsyg.2014.00877.
26. Karageorghis C, Jones L, Stuart DP. Psychological effects of music tempi during exercise. Int J Sports Med. 2008;29(7):613-9. doi: 10.1055/s-2007-989266.
27. Edwards WH. Motor learning and control: from theory to practice. Belmont, CA: Wadsworth; 2011.
28. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33(11):1444-52.
29. Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69(2):292-302. doi: 10.1002/ana.22366.
30. Fisk JD, Ritvo PG, Ross L, Haase DA, Marrie TJ, Schlech WF. Measuring the functional impact of fatigue: initial validation of the fatigue impact scale. Clin Infect Dis. 1994;18 Suppl 1:S79-83.
31. Ritvo PG, JFischer JS, Miller DM, Andrews H, Paty DW, LaRocca NG. MSQLI-multiple sclerosis quality of life inventory: a user's manual. 1997.
32. Kaufman M, Moyer D, Norton J. The significant change for the timed 25-foot walk in the multiple sclerosis functional composite. Mult Scler. 2000;6(4):286-90.
33. Goldman MD, Marrie RA, Cohen JA. Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls. Mult Scler. 2008;14(3):383-90. doi: 10.1177/1352458507082607.
34. Wondrusch C, Schuster-Amft C. A standardized motor imagery introduction program (MIIP) for neuro-rehabilitation: development and evaluation. Front Hum Neurosci. 2013;7:477. doi: 10.3389/fnhum.2013.00477.
35. Peiris CL, Shields N, Brusco NK, Watts JJ, Taylor NF. Additional Saturday rehabilitation improves functional independence and quality of life and reduces length of stay: a randomized controlled trial. BMC Med. 2013;11:198.
36. Rietberg MB, Brooks D, Uitdehaag BM, Kwakkel G. Exercise therapy for multiple sclerosis. Cochrane Database Syst Rev. 2005;1, CD003980. doi: 10.1002/14651858.CD003980.pub2.
37. Learmonth YC, Dlugonski D, Pilutti LA, Sandroff BM, Klaren R, Motl RW. Psychometric properties of the Fatigue Severity Scale and the Modified Fatigue Impact Scale. J Neurol Sci. 2013. doi: 10.1016/j.jns.2013.05.023.
38. Rietberg MB, Van Wegen EE, Kwakkel G. Measuring fatigue in patients with multiple sclerosis: reproducibility, responsiveness and concurrent validity of three Dutch self-report questionnaires. Disabil Rehabil. 2010;32(22):1870-6. doi: 10.3109/09638281003734458.
39. Prugger M, Berger T. Assessing the long-term clinical benefit of prolonged-release fampridine tablets in a real-world setting: a review of 67 cases. Patient Relat Outcome Meas. 2013;4:75-85. doi: 10.2147/PROM.S42957.
40. National Multiple Sclerosis Society. National MS Society, New York, NY. http://www.nationalmssociety.org. Accessed Sept 27, 2013.
41. ECTRIMS European committee for treatment and research in multiple sclerosis 2013 2-5 Oct, 2013; Copenhagen, Denmark.
42. Hobart J, Blight AR, Goodman A, Lynn F, Putzki N. Timed 25-foot walk: direct evidence that improving 20% or greater is clinically meaningful in MS. Neurology. 2013. doi: 10.1212/WNL.0b013e31828cf7f3.
43. Learmonth YC, Dlugonski DD, Pilutti LA, Sandroff BM, Motl RW. The reliability, precision and clinically meaningful change of walking assessments in multiple sclerosis. Mult Scler. 2013. doi: 10.1177/1352458513483890.
44. Newsome SD, Wang JI, Kang JY, Calabresi PA, Zackowski KM. Quantitative measures detect sensory and motor impairments in multiple sclerosis. J Neurol Sci. 2011;305(1-2):103-11. doi: 10.1016/j.jns.2011.03.003.
45. Bosma L, Sonder J, Kragt J, Polman C, Uitdehaag B. Detecting clinically-relevant changes in progressive multiple sclerosis. Mult Scler. 2014. doi: 10.1177/1352458514540969.
46. Cutter GR, Baier ML, Rudick RA, Cookfair DL, Fischer JS, Petkau J, et al. Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain. 1999;122(Pt 5):871-82.
47. Baert I, Freeman J, Smedal T, Dalgas U, Romberg A, Kalron A, et al. Responsiveness and clinically meaningful improvement, according to disability level, of five walking measures after rehabilitation in multiple sclerosis: a European multicenter study. Neurorehabil Neural Repair. 2014;28(7):621-31. doi: 10.1177/1545968314521010.
48. Zwibel HL. Contribution of impaired mobility and general symptoms to the burden of multiple sclerosis. Adv Ther. 2009;26(12):1043-57. doi: 10.1007/s12325-009-0082-x.
49. Gijbels D, Dalgas U, Romberg A, de Groot V, Bethoux F, Vaney C, et al. Which walking capacity tests to use in multiple sclerosis? A multicentre study providing the basis for a core set. Mult Scler. 2012;18(3):364-71. doi: 10.1177/1352458511420598.
50. Newcombe RG. Two-sided confidence intervals for the single proportion: comparison of seven methods. Stat Med. 1998;17(8):857-72. doi: 10.1002/sim.2164.
51. Cohen J. Statistical power analysis for the behavioural sciences. New York: Academic Press; 1977.
52. Vickers AJ. Underpowering in randomized trials reporting a sample size calculation. J Clin Epidemiol. 2003;56(8):717-20. doi: 10.1016/s0895-4356(03)00141-0.
53. Mackenzie IS, Morant SV, Bloomfield GA, MacDonald TM, O'Riordan J. Incidence and prevalence of multiple sclerosis in the UK 1990-2010: a descriptive study in the general practice research database. J Neurol Neurosurg Psychiatry. 2014;85(1):76-84. doi: 10.1136/jnnp-2013-305450.
54. Baumhackl U. Multiple Sklerose Prävalenz und Therapie im 12-Jahres Vergleich in Österreich. Finidr, CZ: Facultas.wuv; 2014.
55. Flachenecker P, Kumpfel T, Kallmann B, Gottschalk M, Grauer O, Rieckmann P, et al. Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters. Mult Scler. 2002;8(6):523-6. doi: 10.1191/1352458502ms839oa.
56. Ietswaart M, Johnston M, Dijkerman HC, Joice S, Scott CL, MacWalter RS, et al. Mental practice with motor imagery in stroke recovery: randomized controlled trial of efficacy. Brain. 2011;134(Pt 5):1373-86. doi: 10.1093/brain/awr077.
57. Braun S, Beurskens A, Kleynen M, Schols J, Wade D. Rehabilitation with mental practice has similar effects on mobility as rehabilitation with relaxation in people with Parkinson's disease: a multicentre randomised trial. J Physiother. 2011;57(1):27-34. doi: 10.1016/S1836-9553(11)70004-2.
58. Kho AY, Liu KP, Chung RC. Meta-analysis on the effect of mental imagery on motor recovery of the hemiplegic upper extremity function. Aust Occup Ther J. 2013. doi: 10.1111/1440-1630.12084.
59. Heremans E, Nieuwboer A, Feys P, Vercruysse S, Vandenberghe W, Sharma N, et al. External cueing improves motor imagery quality in patients with Parkinson disease. Neurorehabil Neural Repair. 2012;26(1):27-35. doi: 10.1177/1545968311411055.
60. Moran A, Guillot A, Macintyre T, Collet C. Re-imagining motor imagery: building bridges between cognitive neuroscience and sport psychology. Br J Psychol. 2012;103(2):224-47. doi: 10.1111/j.2044-8295.2011.02068.x.
61. Tacchino A, Bove M, Pedulla L, Battaglia MA, Papaxanthis C, Brichetto G. Imagined actions in multiple sclerosis patients: evidence of decline in motor cognitive prediction. Exp Brain Res. 2013;229(4):561-70. doi: 10.1007/s00221-013-3617-y.
62. Tabrizi YM, Mazhari S, Nazari MA, Zangiabadi N, Sheibani V. Abnormalities of motor imagery and relationship with depressive symptoms in mildly disabling relapsing-remitting multiple sclerosis. J Neurol Phys Ther. 2014;38(2):111-8. doi: 10.1097/NPT.0000000000000033.
63. Malouin F, Richards CL, Durand A, Descent M, Poire D, Fremont P, et al. Effects of practice, visual loss, limb amputation, and disuse on motor imagery vividness. Neurorehabil Neural Repair. 2009;23(5):449-63. doi: 10.1177/1545968308328733.