Levin, Mindy F.
(M.F. Levin, PT, PhD, School of Physical and Occupational Therapy, McGill University, 3654 Promenade Sir William Osler, Montreal, Quebec H3G 1Y5, Canada, and Centre for Interdisciplinary Research in Rehabilitation, Jewish Rehabilitation Hospital, Laval, Quebec, Canada.)
,
Weiss, Patrice L.
(P.L. Weiss, OT, PhD, Department of Occupational Therapy, University of Haifa Mount Carmel, Haifa, Israel.)
,
Keshner, Emily A.
(E.A. Keshner, PT, EdD, Department of Physical Therapy, College of Health Professions and Social Work, Temple University, Philadelphia, Pennsylvania.)
The primary focus of rehabilitation for individuals with loss of upper limb movement as a result of acquired brain injury is the relearning of specific motor skills and daily tasks. This relearning is essential because the loss of upper limb movement often results in a reduced quality of life. Altho...
The primary focus of rehabilitation for individuals with loss of upper limb movement as a result of acquired brain injury is the relearning of specific motor skills and daily tasks. This relearning is essential because the loss of upper limb movement often results in a reduced quality of life. Although rehabilitation strives to take advantage of neuroplastic processes during recovery, results of traditional approaches to upper limb rehabilitation have not entirely met this goal. In contrast, enriched training tasks, simulated with a wide range of low- to high-end virtual reality-based simulations, can be used to provide meaningful, repetitive practice together with salient feedback, thereby maximizing neuroplastic processes via motor learning and motor recovery. Such enriched virtual environments have the potential to optimize motor learning by manipulating practice conditions that explicitly engage motivational, cognitive, motor control, and sensory feedback-based learning mechanisms. The objectives of this article are to review motor control and motor learning principles, to discuss how they can be exploited by virtual reality training environments, and to provide evidence concerning current applications for upper limb motor recovery. The limitations of the current technologies with respect to their effectiveness and transfer of learning to daily life tasks also are discussed.
The primary focus of rehabilitation for individuals with loss of upper limb movement as a result of acquired brain injury is the relearning of specific motor skills and daily tasks. This relearning is essential because the loss of upper limb movement often results in a reduced quality of life. Although rehabilitation strives to take advantage of neuroplastic processes during recovery, results of traditional approaches to upper limb rehabilitation have not entirely met this goal. In contrast, enriched training tasks, simulated with a wide range of low- to high-end virtual reality-based simulations, can be used to provide meaningful, repetitive practice together with salient feedback, thereby maximizing neuroplastic processes via motor learning and motor recovery. Such enriched virtual environments have the potential to optimize motor learning by manipulating practice conditions that explicitly engage motivational, cognitive, motor control, and sensory feedback-based learning mechanisms. The objectives of this article are to review motor control and motor learning principles, to discuss how they can be exploited by virtual reality training environments, and to provide evidence concerning current applications for upper limb motor recovery. The limitations of the current technologies with respect to their effectiveness and transfer of learning to daily life tasks also are discussed.
참고문헌 (78)
Applying Virtual Reality Technologies to Motor Rehabilitation: Virtual Reality Technologies for Health and Clinical Applications Weiss 2014 10.1007/978-1-4939-0968-1
Stroke Michaelsen 37 186 2006 10.1161/01.STR.0000196940.20446.c9 Task-specific training with trunk restraint on arm recovery in stroke: randomized control trial
Clin Exp Pharmacol Physiol Irvine 23 939 1996 10.1111/j.1440-1681.1996.tb01146.x Injury- and use-related plasticity in the primary sensory cortex of adult mammals: possible relationship to perceptual learning
Neurosci Biobehav Rev Alaverdashvili 37 950 2013 10.1016/j.neubiorev.2013.03.026 A behavioral method for identifying recovery and compensation: hand use in a preclinical stroke model using the single pellet reaching task
Exp Brain Res Alaverdashvili 188 281 2008 “Learned baduse” limits recovery of skilled reaching for food after forelimb motor cortex stroke in rats: a new analysis of the effect of gestures on success
J Speech Lang Hear Res Kleim 51 S225 2008 10.1044/1092-4388(2008/018) Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage
Exp Brain Res Levin 143 171 2002 10.1007/s00221-001-0976-6 Use of the trunk for reaching targets placed within and beyond the reach in adult hemiparesis
Information, Natural Law, and the Self-assembly of Rhythmic Movement Kugler 1987
J Exp Psychol Hum Percept Perform Muller 30 212 2004 10.1037/0096-1523.30.1.212 Decomposition of variability in the execuiton of goal-oriented tasks: three components of skill improvement
The Ecological Approach to Visual Perception Gibson 1979
J Exp Psychol Learn Mem Cog Rosenbaum 18 1058 1992 10.1037/0278-7393.18.5.1058 Time course of movement planning: selection of handgrips for object manipulation
Arch Phys Med Rehabil Cicerone 92 519 2011 10.1016/j.apmr.2010.11.015 Evidence-based cognitive rehabilitation: updated review of the literature from 2003 through 2008
Phys Ther Boyd 83 976 2003 10.1093/ptj/83.11.976 Impact of explicit information on implicit motor-sequence learning following middle cerebral artery stroke
Neuropsychologia Sarri 44 2398 2006 10.1016/j.neuropsychologia.2006.04.032 Neural correlates of crossmodal visual-tactile extinction and of tactile awareness revealed by fMRI in a right-hemisphere stroke patient
Phil Trans Roy Soc Slater 364 3549 2009 10.1098/rstb.2009.0138 Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments
Acta Psychol (Amst) Magdalon 138 126 2011 10.1016/j.actpsy.2011.05.015 Comparison of grasping movements made by healthy subjects in a 3-dimensional immersive virtual versus physical environment
Arch Phys Med Rehabil Knaut 90 793 2009 10.1016/j.apmr.2008.10.030 Kinematics of pointing movements made in a virtual versus a physical 3-dimensional environment in healthy and stroke subjects
Restor Neurol Neurosci da Silva Cameirão 29 287 2011 Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: a randomized controlled pilot study in the acute phase of stroke using the rehabilitation gaming system
J Neurol Phys Ther Fluet 36 79 2012 10.1097/NPT.0b013e3182566f3f Robots integrated with virtual reality simulations for customized motor training in a person with upper extremity hemiparesis: a case study
Aging Sci LeBlanc 1 105 2013 Non-immersive virtual reality for fine motor rehabilitation of functional activities in individuals with chronic stroke: a review
PLoS One Wilke 8 e54925 2013 10.1371/journal.pone.0054925 Sensorimotor recalibration depends on attribution of sensory prediction errors to internal causes
IEEE Trans Neural Syst Rehabil Eng Tunik 21 198 2013 10.1109/TNSRE.2013.2238250 Visuomotor discordance during visually-guided hand movement in virtual reality modulates sensorimotor cortical activity in healthy and hemiparetic subjects
J Neuroeng Rehabil Dvorkin 10 92 2013 10.1186/1743-0003-10-92 A “virtually minimal” visuo-haptic training of attention in severe traumatic brain injury
J Vestib Res Keshner 14 307 2004 10.3233/VES-2004-14401 Postural responses exhibit multisensory dependencies with discordant visual and support surface motion
J Vestib Res Keshner 10 207 2000 10.3233/VES-2000-104-505 The influence of an immersive virtual environment on the segmental organization of postural stabilizing responses
Arch Phys Med Rehabil Zhang 84 1118 2013 10.1016/S0003-9993(03)00203-X A virtual reality environment for evaluation of a daily living skill in brain injury rehabilitation: reliability and validity
Disabil Rehabil Katz 27 1235 2005 10.1080/09638280500076079 Interactive virtual environment training for safe street crossing of right hemisphere stroke patients with unilateral spatial neglect
Phys Ther Kizony 90 252 2010 10.2522/ptj.20090061 Cognitive load and dual task performance during locomotion post stroke: a feasibility study using a functional virtual environment
Presence Mestre 20 1 2011 10.1162/pres_a_00031 Does virtual reality enhance exercise performance, enjoyment, and dissociation: an exploratory study on a stationary bike apparatus
Pediatr Phys Ther Brien 23 258 2011 10.1097/PEP.0b013e318227ca0f An intensive virtual reality program improves functional balance and mobility of adolescents with cerebral palsy
Eur J Phys Rehabil Med Rand 45 113 2009 Intervention using the VMall for improving motor and functional ability of the upper extremity in post stroke participants
IEEE Trans Neur Syst Rehabil Eng Jacoby 21 182 2013 10.1109/TNSRE.2012.2235184 Effectiveness of executive functions training within a virtual supermarket for adults with traumatic brain injury: a pilot study
Top Stroke Rehabil Henderson 14 52 2007 10.1310/tsr1402-52 Virtual reality in stroke rehabilitation: a systematic review of its effectiveness for upper limb motor recovery
Phys Ther Deutsch 88 1196 2008 10.2522/ptj.20080062 Use of a low-cost, commercially available gaming console (Wii) for rehabilitation of an adolescent with cerebral palsy
Disabil Rehabil Molier 32 1799 2010 10.3109/09638281003734359 Nature, timing, frequency and type of augmented feedback; does it influence motor relearning of the hemiparetic arm after stroke: a systematic review
Progress in Motor Control: Skill Learning, Performance, Health, and Injury Levin 2014 10.1007/978-1-4939-1338-1_14 Deficits in spatial threshold control of muscle activation as a window for rehabilitation after brain injury
Arch Phys Med Rehabil Levac 94 795 2013 10.1016/j.apmr.2012.10.021 When is virtual reality “therapy”?
J Exp Psychol Hum Percept Perform Bingham 27 1314 2001 10.1037/0096-1523.27.6.1314 Accommodation, occlusion and diparity matching are used to guide reaching: a comparison of actual versus virtual environments
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