Physical Therapy Rehabilitation Science

korean Academy of Physical Therapy Rehabilitation Science (물리치료재활과학회)
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Motor imagery on upper extremity function for persons with stroke: a systematic review and meta-analysis

  • Lee, Dongsu (Department of Physical Therapy, Graduate School, Baekseok University) ;
  • Hwang, Sujin (Department of Physical Therapy, Division of Health Science, Baekseok University)
  • Received : 2019.02.24
  • Accepted : 2019.03.21
  • Published : 2019.03.30
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Abstract

Objective: The purpose of this review was to investigate whether motor imagery training has an effect on the recovery of upper extremity function in individuals with hemiparetic stroke or not. Design: A systematic review and meta-analysis. Methods: PubMed and three other databases were searched up to December 18th, 2018 and randomized controlled trials (RCTs) evaluating motor imagery training on upper extremity function in persons with a diagnosis of hemiparetic stroke were included. This review selected the following information from each study: surname of the first author, published year, nation, population, intervention, therapeutic intensity of intervention, therapeutic comparison, outcome measures, additional therapy, summary of results, and descriptive statistics of outcome measures. Results: This review selected seventeen RCTs with 487 stroke survivors and the following intervention methods: six motor imagery training with additional therapeutic technology, two motor imagery training with additional modified constraint-induced therapy, four mirror therapy, and five motor imagery training. Ten RCTs were eligible for meta-analysis after systematic review. The motor imagery group were more effective than the control group based on the Fugl-Meyer assessment (3.43; 95% confidence interval [CI], 1.65 to 5.22; heterogeneity [$chi^2=8.03$, df=8, $I^2=0%$], test of overall effect Z=3.76; test for subgroup differences [$chi^2=2.56$, df=2, $I^2=21.8%$]) and the Action Research Arm Test (1.32; 95% CI, -8.12 to 10.76; heterogeneity [$Tau^2=70.74$, $chi^2=15.22$, df=3, $I^2=80%$], test of overall effect Z=3.76). Conclusions: The results of this review suggests that motor imagery shows positive effectiveness on improving upper extremity function in persons with hemiparetic stroke.

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References

  1. O'Sullivan SB, Schmitz TJ, Fulk GD. Physical rehabilitation. 6th ed. Philadelphia: F.A. Davis Co.; 2014.
  2. Lai SM, Studenski S, Duncan PW, Perera S. Persisting consequences of stroke measured by the Stroke Impact Scale. Stroke 2002;33:1840-4. https://doi.org/10.1161/01.STR.0000019289.15440.F2
  3. Burge E, Kupper D, Finckh A, Ryerson S, Schnider A, Leemann B. Neutral functional realignment orthosis prevents hand pain in patients with subacute stroke: a randomized trial. Arch Phys Med Rehabil 2008;89:1857-62. https://doi.org/10.1016/j.apmr.2008.03.023
  4. Page SJ, Dunning K, Hermann V, Leonard A, Levine P. Longer versus shorter mental practice sessions for affected upper extremity movement after stroke: a randomized controlled trial. Clin Rehabil 2011;25:627-37. https://doi.org/10.1177/0269215510395793
  5. Page SJ, Levine P, Khoury JC. Modified constraint-induced therapy combined with mental practice: thinking through better motor outcomes. Stroke 2009;40:551-4. https://doi.org/10.1161/STROKEAHA.108.528760
  6. Page SJ, Levine P, Leonard A. Mental practice in chronic stroke: results of a randomized, placebo-controlled trial. Stroke 2007;38:1293-7. https://doi.org/10.1161/01.STR.0000260205.67348.2b
  7. Jeannerod M. Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage 2001;14:S103-9. https://doi.org/10.1006/nimg.2001.0832
  8. Li F, Zhang T, Li BJ, Zhang W, Zhao J, Song LP. Motor imagery training induces changes in brain neural networks in stroke patients. Neural Regen Res 2018;13:1771-81. https://doi.org/10.4103/1673-5374.238616
  9. Kim SS, Lee BH. Motor imagery training improves upper extremity performance in stroke patients. J Phys Ther Sci 2015;27:2289-91. https://doi.org/10.1589/jpts.27.2289
  10. Verma R, Arya KN, Garg RK, Singh T. Task-oriented circuit class training program with motor imagery for gait rehabilitation in poststroke patients: a randomized controlled trial. Top Stroke Rehabil 2011;18 Suppl 1:620-32. https://doi.org/10.1310/tsr18s01-620
  11. Liburkina SP, Vasilyev AN, Kaplan AY, Ivanova GE, Chukanova AS. [Brain-computer interface-based motor imagery training for patients with neurological movement disorders]. Zh Nevrol Psikhiatr Im S S Korsakova 2018;118:63-8.
  12. Arvaneh M, Guan C, Ang KK, Ward TE, Chua KSG, Kuah CWK, et al. Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement. Neural Comput Appl 2017;28:3259-72. [Rsuuian] https://doi.org/10.1007/s00521-016-2234-7
  13. Dodakian L, Campbell Stewart J, Cramer SC. Motor imagery during movement activates the brain more than movement alone after stroke: a pilot study. J Rehabil Med 2014;46:843-8. https://doi.org/10.2340/16501977-1844
  14. Okuyama K, Ogura M, Kawakami M, Tsujimoto K, Okada K, Miwa K, et al. Effect of the combination of motor imagery and electrical stimulation on upper extremity motor function in patients with chronic stroke: preliminary results. Ther Adv Neurol Disord 2018;11:1756286418804785. https://doi.org/10.1177/1756286418804785
  15. Ang KK, Guan C, Phua KS, Wang C, Zhou L, Tang KY, et al. Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke. Front Neuroeng 2014;7:30.
  16. Ang KK, Chua KS, Phua KS, Wang C, Chin ZY, Kuah CW, et al. A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke. Clin EEG Neurosci 2015;46:310-20. https://doi.org/10.1177/1550059414522229
  17. Arya KN, Pandian S, Kumar D, Puri V. Task-based mirror therapy augmenting motor recovery in poststroke hemiparesis: a randomized controlled trial. J Stroke Cerebrovasc Dis 2015;24:1738-48. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.03.026
  18. Hemmen B, Seelen HA. Effects of movement imagery and electromyography-triggered feedback on arm hand function in stroke patients in the subacute phase. Clin Rehabil 2007;21:587-94. https://doi.org/10.1177/0269215507075502
  19. Invernizzi M, Negrini S, Carda S, Lanzotti L, Cisari C, Baricich A. The value of adding mirror therapy for upper limb motor recovery of subacute stroke patients: a randomized controlled trial. Eur J Phys Rehabil Med 2013;49:311-7.
  20. Nilsen DM, Gillen G, DiRusso T, Gordon AM. Effect of imagery perspective on occupational performance after stroke: a randomized controlled trial. Am J Occup Ther 2012;66:320-9. https://doi.org/10.5014/ajot.2012.003475
  21. Yavuzer G, Selles R, Sezer N, Sutbeyaz S, Bussmann JB, Koseoglu F, et al. Mirror therapy improves hand function in subacute stroke: a randomized controlled trial. Arch Phys Med Rehabil 2008;89:393-8. https://doi.org/10.1016/j.apmr.2007.08.162
  22. Frolov AA, Mokienko O, Lyukmanov R, Biryukova E, Kotov S, Turbina L, et al. Post-stroke rehabilitation training with a motor-imagery-based brain-computer interface (BCI)-controlled hand exoskeleton: a randomized controlled multicenter trial. Front Neurosci 2017;11:400. https://doi.org/10.3389/fnins.2017.00400
  23. Ang KK, Guan C, Chua KS, Ang BT, Kuah C, Wang C, et al. A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation. Conf Proc IEEE Eng Med Biol Soc 2009;2009:5981-4.
  24. Hong IK, Choi JB, Lee JH. Cortical changes after mental imagery training combined with electromyography-triggered electrical stimulation in patients with chronic stroke. Stroke 2012;43:2506-9. https://doi.org/10.1161/STROKEAHA.112.663641
  25. Kim H, Yoo EY, Jung MY, Kim J, Park JH, Kang DH. The effects of mental practice combined with modified constraint-induced therapy on corticospinal excitability, movement quality, function, and activities of daily living in persons with stroke. Disabil Rehabil 2018;40:2449-57. https://doi.org/10.1080/09638288.2017.1337817
  26. Thieme H, Bayn M, Wurg M, Zange C, Pohl M, Behrens J. Mirror therapy for patients with severe arm paresis after stroke--a randomized controlled trial. Clin Rehabil 2013;27:314-24. https://doi.org/10.1177/0269215512455651
  27. Petersen J, Iversen HK, Puthusserypady S. Motor imagery based Brain Computer Interface paradigm for upper limb stroke rehabilitation. Conf Proc IEEE Eng Med Biol Soc 2018;2018:1960-3.
  28. Prasad G, Herman P, Coyle D, McDonough S, Crosbie J. Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study. J Neuroeng Rehabil 2010;7:60. https://doi.org/10.1186/1743-0003-7-60
  29. Craje C, van der Graaf C, Lem FC, Geurts AC, Steenbergen B. Determining specificity of motor imagery training for upper limb improvement in chronic stroke patients: a training protocol and pilot results. Int J Rehabil Res 2010;33:359-62. https://doi.org/10.1097/MRR.0b013e32833abe8e
  30. Niu CM, Bao Y, Zhuang C, Li S, Wang T, Cui L, et al. Synergybased FES for post-stroke rehabilitation of upper-limb motor functions. IEEE Trans Neural Syst Rehabil Eng 2019;27:256-64. https://doi.org/10.1109/TNSRE.2019.2891004
  31. Huang Q, Wu W, Chen X, Wu B, Wu L, Huang X, et al. Evaluating the effect and mechanism of upper limb motor function recovery induced by immersive virtual-reality-based rehabilitation for subacute stroke subjects: study protocol for a randomized controlled trial. Trials 2019;20:104. https://doi.org/10.1186/s13063-019-3177-y
  32. Lin LF, Lin YJ, Lin ZH, Chuang LY, Hsu WC, Lin YH. Feasibility and efficacy of wearable devices for upper limb rehabilitation in patients with chronic stroke: a randomized controlled pilot study. Eur J Phys Rehabil Med 2018;54:388-96.
  33. Decety J, Ingvar DH. Brain structures participating in mental simulation of motor behavior: a neuropsychological interpretation. Acta Psychol (Amst) 1990;73:13-34. https://doi.org/10.1016/0001-6918(90)90056-L
  34. Markman KD, Klein WMP, Suhr JA. Handbook of imagination and mental simulation. New York: Psychology Press; 2009.
  35. Zimmermann-Schlatter A, Schuster C, Puhan MA, Siekierka E, Steurer J. Efficacy of motor imagery in post-stroke rehabilitation: a systematic review. J Neuroeng Rehabil 2008;5:8. https://doi.org/10.1186/1743-0003-5-8

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