Reinforced feedback in virtual environment for rehabilitation of upper extremity dysfunction after stroke: preliminary data from a randomized controlled trial

Paweł Kiper, Michela Agostini, Carlos Luque-Moreno, Paolo Tonin, Andrea Turolla, Paweł Kiper, Michela Agostini, Carlos Luque-Moreno, Paolo Tonin, Andrea Turolla

Abstract

Objectives: To study whether the reinforced feedback in virtual environment (RFVE) is more effective than traditional rehabilitation (TR) for the treatment of upper limb motor function after stroke, regardless of stroke etiology (i.e., ischemic, hemorrhagic).

Design: Randomized controlled trial. Participants. Forty-four patients affected by stroke. Intervention. The patients were randomized into two groups: RFVE (N = 23) and TR (N = 21), and stratified according to stroke etiology. The RFVE treatment consisted of multidirectional exercises providing augmented feedback provided by virtual reality, while in the TR treatment the same exercises were provided without augmented feedbacks. Outcome Measures. Fugl-Meyer upper extremity scale (F-M UE), Functional Independence Measure scale (FIM), and kinematics parameters (speed, time, and peak).

Results: The F-M UE (P = 0.030), FIM (P = 0.021), time (P = 0.008), and peak (P = 0.018), were significantly higher in the RFVE group after treatment, but not speed (P = 0.140). The patients affected by hemorrhagic stroke significantly improved FIM (P = 0.031), time (P = 0.011), and peak (P = 0.020) after treatment, whereas the patients affected by ischemic stroke improved significantly only speed (P = 0.005) when treated by RFVE.

Conclusion: These results indicated that some poststroke patients may benefit from RFVE program for the recovery of upper limb motor function. This trial is registered with NCT01955291.

Figures

Figure 1
Figure 1
(a) Type of receivers, (b) application of receivers to different end-effectors, (c) sensorised glove for the application of receiver in case of severe motor deficit, and (d) modality of end-effector application in case of grasping being preserved.
Figure 2
Figure 2
The same motor task represented from lowest to highest complexity.
Figure 3
Figure 3
Flowchart of participants through the study.

References

    1. Adamovich SV, Merians AS, Boian R, et al. A virtual reality based exercise system for hand rehabilitation post-stroke: transfer to function. Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '04); September 2004; pp. 4936–4939.
    1. Opara J. Co to jest nowoczesna rehbilitacja poudarowa? Logopeda. 2006;2(3):7–16.
    1. Winstein CJ, Rose DK, Tan SM, Lewthwaite R, Chui HC, Azen SP. A randomized controlled comparison of upper-extremity rehabilitation strategies in acute stroke: a pilot study of immediate and long-term outcomes. Archives of Physical Medicine and Rehabilitation. 2004;85(4):620–628.
    1. Fischer HC, Stubblefield K, Kline T, Luo X, Kenyon RV, Kamper DG. Hand rehabilitation following stroke: a pilot study of assisted finger extension training in a virtual environment. Topics in Stroke Rehabilitation. 2007;14(1):1–12.
    1. Verschure PFMJ. Neuroscience, virtual reality and neurorehabilitation: brain repair as a validation of brain theory. Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '11); September 2011; pp. 2254–2257.
    1. Wade DT, Langton Hewer R, Wood VA. The hemiplegic arm after stroke: measurement and recovery. Journal of Neurology Neurosurgery and Psychiatry. 1983;46(6):521–524.
    1. Eng K, Siekierka E, Pyk P, et al. Interactive visuo-motor therapy system for stroke rehabilitation. Medical and Biological Engineering and Computing. 2007;45(9):901–907.
    1. Ward NS. Neural plasticity and recovery of function. Progress in Brain Research. 2005;150:527–535.
    1. Sung HJ, You SH, Hallett M, et al. Cortical reorganization and associated functional motor recovery after virtual reality in patients with chronic stroke: an experimenter-blind preliminary study. Archives of Physical Medicine and Rehabilitation. 2005;86(11):2218–2223.
    1. Hallett M. Functional reorganization after lesions of the human brain: studies with transcranial magnetic stimulation. Revue Neurologique. 2001;157(8-9 I):822–826.
    1. Avenanti A, Coccia M, Ladavas E, Provinciali L, Ceravolo MG. Low-frequency rTMS promotes use-dependent motor plasticity in chronic stroke: a randomized trial. Neurology. 2012;78(4):256–264.
    1. Laible M, Grieshammer S, Seidel G, Rijntjes M, Weiller C, Hamzei F. Association of activity changes in the primary sensory cortex with successful motor rehabilitation of the hand following stroke. Neurorehabilitation and Neural Repair. 2012;26(7):881–888.
    1. Liepert J, Miltner WHR, Bauder H, et al. Motor cortex plasticity during constraint,induced movement therapy in stroke patients. Neuroscience Letters. 1998;250(1):5–8.
    1. Liepert J, Bauder H, Miltner WHR, Taub E, Weiller C. Treatment-induced cortical reorganization after stroke in humans. Stroke. 2000;31(6):1210–1216.
    1. Johansson BB. Current trends in stroke rehabilitation. A review with focus on brain plasticity. Acta Neurologica Scandinavica. 2011;123(3):147–159.
    1. Kwolek A. Rehabilitacja neurologiczna. In: Kwolek A, editor. Rehabilitacja Medyczna. Wroclaw, Poland: Wydawnictwo Medyczne Urban & Partner; 2003. pp. 10–50.
    1. Placidi G. A smart virtual glove for the hand telerehabilitation. Computers in Biology and Medicine. 2007;37(8):1100–1107.
    1. Albert SJ, Kesselring J. Neurorehabilitation of stroke. Journal of Neurology. 2011;259(5):817–832.
    1. Arya KN, Pandian S, Verma R, Garg RK. Movement therapy induced neural reorganization and motor recovery in stroke: a review. Journal of Bodywork and Movement Therapies. 2011;15(4):528–537.
    1. Nudo RJ. Neural bases of recovery after brain injury. Journal of Communication Disorders. 2011;44(5):515–520.
    1. Langhorne P, Bernhardt J, Kwakkel G. Stroke rehabilitation. The Lancet. 2011;377(9778):1693–1702.
    1. Piron L, Tonin P, Piccione F, Iaia V, Trivello E, Dam M. Virtual environment training therapy for arm motor rehabilitation. Presence-Teleoperators and Virtual Environments. 2005;14(6):732–740.
    1. Piron L, Tonin P, Atzori AM, et al. The augmented-feed back rehabilitation technique facilitates the arm motor recovery in patients after a recent stroke. In: Westwood JD, editor. Medicine Meets Virtual Reality 11: Nextmed: Health Horizon. 2003. pp. 265–267.
    1. Khan LE, Averbuch M, Rimer WZ, Reinkensmeyer DJ. Integration of Assistive Technology in the Information Age, Proceedings 7th International Conference on Rehabilitation Robotics. Amsterdam, The Netherlands: IOS Press; 2001. Comparison of robot-assisted reaching to free reaching in promoting recovery from chronic stroke.
    1. Weiss PL, Kizony R, Feintuch U, Katz N. Medical neurorehabilitation. In: Selzer M, Cohen LG, Clarke S, Duncan PW, Gage FH, editors. Textbook of Neural Repair and Rehabilitation. New York, NY, USA: Cambridge University Press; 2006. pp. 182–197.
    1. Piron LA, Turolla A, Agostini M, Tonin P, Ventura L, Dam M. Motor Learning Principles For Stroke Rehabilitation. Society for Neuroscience Abstract Viewer and Itinerary Planner; 2010.
    1. Kiper P, Piron L, Turolla A, Stozek J, Tonin P. The effectiveness of reinforced feedback in virtual environment in the first 12 months after stroke. Neurologia i Neurochirurgia Polska. 2011;45(5):436–444.
    1. Crosbie JH, Lennon S, McGoldrick MC, McNeill MDJ, McDonough SM. Virtual reality in the rehabilitation of the arm after hemiplegic stroke: a randomized controlled pilot study. Clinical Rehabilitation. 2012;26(9):798–806.
    1. Laver KE, George S, Thomas S, Deutsch JE, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database of Systematic Reviews. 2011;9CD008349
    1. Todorov E, Shadmehr R, Bizzi E. Augmented feedback presented in a virtual environment accelerates learning of a difficult motor task. Journal of Motor Behavior. 1997;29(2):147–158.
    1. Grefkes C, Fink GR. Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches. Brain. 2011;134(5):1264–1276.
    1. Turolla A, Dam M, Ventura L, et al. Virtual reality for the rehabilitation of the upper limb motor function after stroke: a prospective controlled trial. Journal of NeuroEngineering and Rehabilitation. 2013;10:p. 85.
    1. Sugarman H, Dayan E, Weisel-Eichler A, Tiran J. The Jerusalem TeleRehabilitation System, a new low-cost, haptic rehabilitation approach. Cyberpsychology and Behavior. 2006;9(2):178–182.
    1. Sveistrup H. Motor rehabilitation using virtual reality. Journal of NeuroEngineering and Rehabilitation. 2004;1(1, article 10)
    1. Kwon JS, Park MJ, Yoon IJ, Park SH. Effects of virtual reality on upper extremity function and activities of daily living performance in acute stroke: a double-blind randomized clinical trial. NeuroRehabilitation. 2012;31(4):379–385.
    1. Van Dokkum L, Mottet D, Bonnin-Koang H-Y, et al. People post-stroke perceive movement fluency in virtual reality. Experimental Brain Research. 2012;218(1):1–8.
    1. Wolpert DM, Ghahramani Z. Computational principles of movement neuroscience. Nature Neuroscience. 2000;3(supplement):1212–1217.
    1. Merians AS, Fluet GG, Qiu Q, Lafond I, Adamovich SV. Learning in a virtual environment using haptic systems for movement re-education: can this medium be used for remodeling other behaviors and actions? Journal of Diabetes Science and Technology. 2011;5(2):301–308.
    1. Kiper P, Turolla A, Piron L, et al. Virtual reality for stroke rehabilitation: assessment, training and the effect of virtual therapy. Rehabilitacja Medyczna. 2010;14(2):23–32.

Source: PubMed

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