Cited by 198Stroke Rehabilitation and RecoveryMotor Control and AdaptationCognitive Functions and Memory

The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

Motor learning in neurological rehabilitation

Levin, Mindy F., Demers, Marika·2021·Disability and Rehabilitation

DOI 10.1080/09638288.2020.1752317

Open this paper in CoChat — free account

Abstract

While most upper limb training interventions in neurological rehabilitation are based on established principles of motor learning and neural plasticity, recovery potential may be improved if the focus includes remediating an individual's specific motor impairment within the framework of a motor control theory. This paper reviews current theories of motor control and motor learning and describes how they can be incorporated into training programs to enhance sensorimotor recovery in patients with neurological lesions. An emphasis is placed on dynamical systems theory and the use of new technologies such as virtual, augmented and mixed reality applications for rehabilitation to facilitate learning.Implications for RehabilitationKinematic abundance allows the healthy nervous system to produce different combinations of joint rotations to perform a desired task.The structure of practice to improve the movement repertoire in rehabilitation should take into account the kinematic abundance of the system.Learning can be enhanced by varied practice with feedback about key movement elements.Virtual reality environments provide opportunities to manipulate the structure and schedule of practice and feedback.

Integrity signals

Registry

Crossref · 10.1080/09638288.2020.1752317

Cites

109 of 109 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The co-ordination and regulation of movements
Bernshteĭn, N. A. (1969) · Brain Research · doi:10.1016/0006-8993(69)90278-9 · Cited by 5,087
The co-ordination and regulation of movements
Foley, J. (1968) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(68)90166-4 · Cited by 3,431
Guidelines for Adult Stroke Rehabilitation and Recovery: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association
Winstein, C. J., Stein, J., Arena, R., Bates, B., Cherney, L. R., Cramer, S. C., Deruyter, F., Eng, J. J., Fisher, B., Harvey, R. L., et al. (2016) · Stroke · doi:10.1161/str.0000000000000098 · Cited by 3,293
A schema theory of discrete motor skill learning.
Schmidt, R. A. (1975) · Psychological Review · doi:10.1037/h0076770 · Cited by 3,227
The problem of serial order in behavior
Lashley, K. S. (1951) · MPG.PuRe (Max Planck Society) · Cited by 2,734
Motor recovery after stroke: a systematic review
Langhorne, P., Coupar, F., & Pollock, A. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70150-4 · Cited by 2,343
Multiple paired forward and inverse models for motor control
Wolpert, D. M., & Kawato, M. (1998) · Neural Networks · doi:10.1016/s0893-6080(98)00066-5 · Cited by 2,244
Augmented reality technologies, systems and applications
Carmigniani, J., Furht, B., Anisetti, M., Ceravolo, P., Damiani, E., & Ivkovic, M. (2010) · Multimedia Tools and Applications · doi:10.1007/s11042-010-0660-6 · Cited by 1,552
Challenge Point: A Framework for Conceptualizing the Effects of Various Practice Conditions in Motor Learning
Guadagnoli, M. A., & Lee, T. D. (2004) · Journal of Motor Behavior · doi:10.3200/jmbr.36.2.212-224 · Cited by 1,534 · cited 2×
“The theoretical framework proposed by Guadagnoli and Lee [60] provides a structure for progressing the level of difficulty of practice.”
BackgroundMethod
Probability of Regaining Dexterity in the Flaccid Upper Limb
Kwakkel, G., Kollen, B. J., van der Grond, J., & Prevo, A. J. H. (2003) · Stroke · doi:10.1161/01.str.0000087172.16305.cd · Cited by 1,445
Knowledge of results and motor learning: A review and critical reappraisal.
Salmoni, A. W., Schmidt, R. A., & Walter, C. B. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.3.355 · Cited by 1,438
Motor learning: its relevance to stroke recovery and neurorehabilitation
Krakauer, J. W. (2006) · Current Opinion in Neurology · doi:10.1097/01.wco.0000200544.29915.cc · Cited by 1,282
A survey on robotic devices for upper limb rehabilitation
Maciejasz, P., Eschweiler, J., Gerlach-Hahn, K., Jansen-Troy, A., & Leonhardt, S. K. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-3 · Cited by 1,253
What Is the Evidence for Physical Therapy Poststroke? A Systematic Review and Meta-Analysis
Veerbeek, J. M., van Wegen, E., van Peppen, R., van der Wees, P. J., Hendriks, E., Rietberg, M., & Kwakkel, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087987 · Cited by 1,203
Dexterity and its development
(1996) · Choice Reviews Online · doi:10.5860/choice.34-0997 · Cited by 1,034
Compensatory strategies for reaching in stroke
Cirstea, C. M., & Levin, M. F. (2000) · Brain · doi:10.1093/brain/123.5.940 · Cited by 1,009
Self-citation
MAMMALIAN MUSCLE RECEPTORS AND THEIR CENTRAL ACTIONS
Matthews, P. B. C., & Bagby, R. M. (1974) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-197400620-00005 · Cited by 965
What Do Motor “Recovery” and “Compensation” Mean in Patients Following Stroke?
Levin, M. F., Kleim, J. A., & Wolf, S. L. (2008) · Neurorehabilitation and neural repair · doi:10.1177/1545968308328727 · Cited by 961
Self-citation
Cerebral mechanisms in behavior.
indicated, N. A. (1952) · Journal of Consulting Psychology · doi:10.1037/h0051344 · Cited by 918
Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning
Doyon, J., Penhune, V. B., & Ungerleider, L. G. (2002) · Neuropsychologia · doi:10.1016/s0028-3932(02)00158-6 · Cited by 885
Toward a New Theory of Motor Synergies
Latash, M. L., Scholz, J. P., & Schöner, G. (2007) · Motor Control · doi:10.1123/mcj.11.3.276 · Cited by 815
Functional Reorganization of the Rat Motor Cortex Following Motor Skill Learning
Kleim, J. A., Barbay, S., & Nudo, R. J. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.6.3321 · Cited by 806
Reorganization of movement representations in primary motor cortex following focal ischemic infarcts in adult squirrel monkeys
Nudo, R. J., & Milliken, G. W. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.75.5.2144 · Cited by 715
Abnormal muscle coactivation patterns during isometric torque generation at the elbow and shoulder in hemiparetic subjects
Dewald, J. P. A., Pope, P. S., Given, J. D., Buchanan, T. S., & Rymer, W. Z. (1995) · Brain · doi:10.1093/brain/118.2.495 · Cited by 711
Observation of Amounts of Movement Practice Provided During Stroke Rehabilitation
Lang, C. E., MacDonald, J. R., Reisman, D. S., Boyd, L. A., Kimberley, T. J., Schindler-Ivens, S., Hornby, T. G., Ross, S. A., & Scheets, P. L. (2009) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2009.04.005 · Cited by 707
Is More Better? Using Metadata to Explore Dose–Response Relationships in Stroke Rehabilitation
Lohse, K. R., Lang, C. E., & Boyd, L. A. (2014) · Stroke · doi:10.1161/strokeaha.114.004695 · Cited by 670
The bliss (not the problem) of motor abundance (not redundancy)
Latash, M. L. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3000-4 · Cited by 663
Effects of Repetitive Motor Training on Movement Representations in Adult Squirrel Monkeys: Role of Use versus Learning
Plautz, E. J., Milliken, G. W., & Nudo, R. J. (2000) · Neurobiology of Learning and Memory · doi:10.1006/nlme.1999.3934 · Cited by 652
Reorganization of Movement Representations in Primary Motor Cortex Following Focal Ischemic Infarcts in Adult Squirrel Monkeys
Simonsen, C. (1998) · Neurology Report · doi:10.1097/01253086-199822020-00019 · Cited by 610
A neural network that finds a naturalistic solution for the production of muscle activity
Sussillo, D., Churchland, M. M., Kaufman, M. T., & Shenoy, K. V. (2015) · Nature Neuroscience · doi:10.1038/nn.4042 · Cited by 598
The origin and use of positional frames of reference in motor control
Feldman, A. G., & Levin, M. F. (1995) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0004070x · Cited by 587
Self-citation
Untitled work
(2008) · Human Kinetics eBooks · Cited by 546
Sensorimotor training in virtual reality: A review
Adamovich, S., Fluet, G. G., Tunik, E., & Merians, A. S. (2009) · Neurorehabilitation · doi:10.3233/nre-2009-0497 · Cited by 543
Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial
Rodgers, H., Bosomworth, H. J., Krebs, H. I., van Wijck, F., Howel, D., Wilson, N., Aird, L., Alvarado, N., Andole, S. N., Cohen, D., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31055-4 · Cited by 513
Virtual Reality Therapy for Adults Post-Stroke: A Systematic Review and Meta-Analysis Exploring Virtual Environments and Commercial Games in Therapy
Lohse, K. R., Hilderman, C. G. E., Cheung, K. L., Tatla, S., & Van der Loos, H. F. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093318 · Cited by 501
Learning–performance distinction and memory processes for motor skills: A focused review and perspective
Kantak, S. S., & Winstein, C. J. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.11.028 · Cited by 486
Interjoint coordination during pointing movements is disrupted in spastic hemiparesis
Levin, M. F. (1996) · Brain · doi:10.1093/brain/119.1.281 · Cited by 481
Self-citation
Emergence of Virtual Reality as a Tool for Upper Limb Rehabilitation: Incorporation of Motor Control and Motor Learning Principles
Levin, M. F., Weiss, P. L., & Keshner, E. A. (2014) · Physical Therapy · doi:10.2522/ptj.20130579 · Cited by 466
Self-citation
Qualitative analysis of stroke patients' motivation for rehabilitation
Maclean, N. (2000) · BMJ · doi:10.1136/bmj.321.7268.1051 · Cited by 457
Robotic neurorehabilitation: a computational motor learning perspective
Huang, V. S., & Krakauer, J. W. (2009) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-6-5 · Cited by 441
Functional tuning of the nervous system with control of movement or maintenance of a steady posture. 1 . Mechanographic analysis of the work of the joint on execution of a postural task
Asatryan, D. G. (1965) · Cited by 392
Motor compensation and its effects on neural reorganization after stroke
Jones, T. A. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.26 · Cited by 388
Extrinsic feedback for motor learning after stroke: What is the evidence?
van Vliet, P. M., & Wulf, G. (2006) · Disability and Rehabilitation · doi:10.1080/09638280500534937 · Cited by 354
Dopaminergic Projections from Midbrain to Primary Motor Cortex Mediate Motor Skill Learning
Hosp, J. A., Pekanovic, A., Rioult-Pedotti, M. S., & Luft, A. R. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5411-10.2011 · Cited by 354
Reward Improves Long-Term Retention of a Motor Memory through Induction of Offline Memory Gains
Abe, M., Schambra, H., Wassermann, E. M., Luckenbaugh, D., Schweighofer, N., & Cohen, L. G. (2011) · Current Biology · doi:10.1016/j.cub.2011.02.030 · Cited by 313
Dose and timing in neurorehabilitation
Lang, C. E., Lohse, K. R., & Birkenmeier, R. L. (2015) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000256 · Cited by 298
Chronic transformation of muscle in spasticity: a peripheral contribution to increased tone.
Hufschmidt, A., & Mauritz, K.-H. (1985) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.48.7.676 · Cited by 292
A critical evaluation of the force control hypothesis in motor control
Ostry, D. J., & Feldman, A. G. (2003) · Experimental Brain Research · doi:10.1007/s00221-003-1624-0 · Cited by 265
Counting Repetitions: An Observational Study of Outpatient Therapy for People with Hemiparesis Post-Stroke
Lang, C. E., MacDonald, J. R., & Gnip, C. (2007) · Neurology Report · doi:10.1097/01.npt.0000260568.31746.34 · Cited by 265
Virtual reality in neurorehabilitation
Weiss, P. L., Kizony, R., Feintuch, U., & Katz, N. (2006) · Textbook of Neural Repair and Rehabilitation · doi:10.1017/cbo9780511545078.015 · Cited by 265
Motor learning after unilateral brain damage
Winstein, C. J. (1999) · Neuropsychologia · doi:10.1016/s0028-3932(98)00145-6 · Cited by 257
Sensorimotor Training in a Virtual Reality Environment: Does It Improve Functional Recovery Poststroke?
Merians, A. S., Howard Poizner, A., Boian, R., Burdea, G., & Adamovich, S. (2006) · Neurorehabilitation and neural repair · doi:10.1177/1545968306286914 · Cited by 255
Improvement of Arm Movement Patterns and Endpoint Control Depends on Type of Feedback During Practice in Stroke Survivors
Cirstea, C. M., & Levin, M. F. (2007) · Neurorehabilitation and neural repair · doi:10.1177/1545968306298414 · Cited by 251
Self-citation
Maladaptive Plasticity for Motor Recovery after Stroke: Mechanisms and Approaches
Takeuchi, N., & Izumi, S. (2012) · Neural Plasticity · doi:10.1155/2012/359728 · Cited by 250
Variability of practice and implicit motor learning.
Wulf, G., & Schmidt, R. A. (1997) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.23.4.987 · Cited by 243
Weakness Is the Primary Contributor to Finger Impairment in Chronic Stroke
Kamper, D. G., Fischer, H. C., Cruz, E. G., & Rymer, W. Z. (2006) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2006.05.013 · Cited by 224
Pathophysiology of spasticity in stroke
Burke, D. J., Wissel, J., & Donnan, G. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31827624a7 · Cited by 217
Testing hypotheses and the advancement of science: recent attempts to falsify the equilibrium point hypothesis
Feldman, A. G., & Latash, M. L. (2004) · Experimental Brain Research · doi:10.1007/s00221-004-2049-0 · Cited by 216
Feedback and Cognition in Arm Motor Skill Reacquisition After Stroke
Cirstea, C. M., Ptito, A., & Levin, M. F. (2006) · Stroke · doi:10.1161/01.str.0000217417.89347.63 · Cited by 208
Self-citation
Does Provision of Extrinsic Feedback Result in Improved Motor Learning in the Upper Limb Poststroke? A Systematic Review of the Evidence
Subramanian, S. K., Massie, C. L., Malcolm, M. P., & Levin, M. F. (2009) · Neurorehabilitation and neural repair · doi:10.1177/1545968309349941 · Cited by 206
Self-citation
Virtual reality games for movement rehabilitation in neurological conditions: how do we meet the needs and expectations of the users?
Lewis, G. N., & Rosie, J. A. (2012) · Disability and Rehabilitation · doi:10.3109/09638288.2012.670036 · Cited by 205
Effects of Unilateral Upper Limb Training in Two Distinct Prognostic Groups Early After Stroke
Kwakkel, G., Winters, C., van Wegen, E. E. H., Nijland, R. H. M., van Kuijk, A. A., Visser‐Meily, A., de Groot, J. H., de Vlugt, E., Arendzen, J. H., Geurts, A. C. H., et al. (2016) · Neurorehabilitation and neural repair · doi:10.1177/1545968315624784 · Cited by 199
Reduced Muscle Selectivity During Individuated Finger Movements in Humans After Damage to the Motor Cortex or Corticospinal Tract
Lang, C. E., & Schieber, M. H. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00805.2003 · Cited by 190
Moving rehabilitation research forward: Developing consensus statements for rehabilitation and recovery research
Bernhardt, J. A., Borschmann, K., Boyd, L. A., Carmichael, S. T., Corbett, D., Cramer, S. C., Hoffmann, T., Kwakkel, G., Savitz, S. I., Saposnik, G., et al. (2016) · International Journal of Stroke · doi:10.1177/1747493016643851 · Cited by 182
The effects of increased dose of exercise-based therapies to enhance motor recovery after stroke: a systematic review and meta-analysis
Cooke, E. V., Mares, K., Clark, A., Tallis, R. C., & Pomeroy, V. M. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-60 · Cited by 179
Motor control and neural plasticity through interhemispheric interactions
Takeuchi, N., Oouchida, Y., & Izumi, S.-I. (2012) · Neural Plasticity · doi:10.1155/2012/823285 · Cited by 171
Providing Explicit Information Disrupts Implicit Motor Learning After Basal Ganglia StrokePreprint
Boyd, L. A., & Winstein, C. J. (2004) · Learning & Memory · doi:10.1101/lm.80104 · Cited by 162
The role of kinematic redundancy in adaptation of reaching
Yang, J.-F., Scholz, J. P., & Latash, M. L. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0602-8 · Cited by 158
Referent control of action and perception
Feldman, A. G. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2736-4 · Cited by 152
Fundamentals of Motor Control
Latash, M. L. (2012) · Elsevier eBooks · doi:10.1016/c2011-0-05693-4 · Cited by 152
Arm reaching improvements with short-term practice depend on the severity of the motor deficit in stroke
Cirstea, C. M., Ptito, A., & Levin, M. F. (2003) · Experimental Brain Research · doi:10.1007/s00221-003-1568-4 · Cited by 146
Self-citation
Spatial zones for muscle coactivation and the control of postural stability
Levin, M. F., & Dimov, M. (1997) · Brain Research · doi:10.1016/s0006-8993(97)00204-7 · Cited by 144
Self-citation
Can virtual reality offer enriched environments for rehabilitation?
Levin, M. F. (2011) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.201 · Cited by 141
Self-citation
Long-Dose Intensive Therapy Is Necessary for Strong, Clinically Significant, Upper Limb Functional Gains and Retained Gains in Severe/Moderate Chronic Stroke
Daly, J. J., McCabe, J., Holcomb, J., Monkiewicz, M., Gansen, J. L., & Pundik, S. (2019) · Neurorehabilitation and neural repair · doi:10.1177/1545968319846120 · Cited by 140
Dose of arm activity training during acute and subacute rehabilitation post stroke: a systematic review of the literature
Hayward, K. S., & Brauer, S. (2015) · Clinical Rehabilitation · doi:10.1177/0269215514565395 · Cited by 136
Broken Movement
Krakauer, J. W., & Carmichael, S. T. (2017) · The MIT Press eBooks · doi:10.7551/mitpress/9310.001.0001 · Cited by 135
Impact of Explicit Information on Implicit Motor-Sequence Learning Following Middle Cerebral Artery Stroke
Boyd, L. A., & Winstein, C. J. (2003) · Physical Therapy · doi:10.1093/ptj/83.11.976 · Cited by 132
Virtual Reality and Active Videogame-Based Practice, Learning Needs, and Preferences: A Cross-Canada Survey of Physical Therapists and Occupational Therapists
Levac, D. E., Glegg, S., Colquhoun, H. L., Miller, P. A., & Noubary, F. (2017) · Games for Health Journal · doi:10.1089/g4h.2016.0089 · Cited by 129
Search Strategies in the Perceptual-Motor Workspace and the Acquisition of Coordination, Control, and Skill
Pacheco, M. M., Lafe, C. W., & Newell, K. M. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01874 · Cited by 129
Considerations in the Efficacy and Effectiveness of Virtual Reality Interventions for Stroke Rehabilitation: Moving the Field Forward
Proffitt, R. M., & Lange, B. S. (2014) · Physical Therapy · doi:10.2522/ptj.20130571 · Cited by 123
Motor Learning Principles for Rehabilitation: A Pilot Randomized Controlled Study in Poststroke Patients
Piron, L., Turolla, A., Agostini, M., Zucconi, C. S., Ventura, L., Tonin, P., & Dam, M. (2010) · Neurorehabilitation and neural repair · doi:10.1177/1545968310362672 · Cited by 121
‘Factors contributing to upper limb recovery after stroke: A survey of stroke survivors in Queensland Australia’
Barker, R. N., Gill, T. J., & Brauer, S. (2007) · Disability and Rehabilitation · doi:10.1080/09638280500243570 · Cited by 103
Change in Movement and Skill: Learning, Retention, and Transfer
Bernstein, N. A., Latash, M. L., Latash, M. L., & Turvey, M. T. (2014) · Psychology Press eBooks · doi:10.4324/9781410603357-22 · Cited by 99
Translating the science into practice
Winstein, C. J., & Kay, D. B. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.01.004 · Cited by 97
Conceptions of Ability Affect Motor Learning
Wulf, G., & Lewthwaite, R. (2009) · Journal of Motor Behavior · doi:10.3200/35-08-083 · Cited by 95
A behavioral method for identifying recovery and compensation: Hand use in a preclinical stroke model using the single pellet reaching task
Alaverdashvili, M., & Whishaw, I. Q. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.03.026 · Cited by 95
Augmented Information and the Acquisition of Skill in Physical Activity
Newell, K., MORIS, L. R., & SCULLY, D. M. (1985) · Exercise and Sport Sciences Reviews · doi:10.1249/00003677-198500130-00009 · Cited by 95
Effects of a primary motor cortex lesion on step-tracking movements of the wrist
Hoffman, D. S., & Strick, P. L. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.73.2.891 · Cited by 95
“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
Alaverdashvili, M. (2007) · Behavioural Brain Research · doi:10.1016/j.bbr.2007.11.007 · Cited by 94
Associations Between Positive Emotion and Recovery of Functional Status Following Stroke
Ostir, G. V., Berges, I.-M., Ottenbacher, M. E., Clow, A., & Ottenbacher, K. J. (2008) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31816fd7d0 · Cited by 84
Tracking the evolution of virtual reality applications to rehabilitation as a field of study
Keshner, E. A., Weiss, P. L., Geifman, D., & Raban, D. R. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-019-0552-6 · Cited by 81
Upper Limb Coordination in Individuals With Stroke: Poorly Defined and Poorly Quantified
Tomita, Y., Rodrigues, M. R., & Levin, M. F. (2017) · Neurorehabilitation and neural repair · doi:10.1177/1545968317739998 · Cited by 72
Self-citation
Broken Movement: The Neurobiology of Motor Recovery after Stroke
Krakauer, J. W., & Carmichael, S. T. (2017) · Cited by 69
Potential for new technologies in clinical practice
Burridge, J. H., & Hughes, A. (2010) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3283402af5 · Cited by 68
Is upper limb virtual reality training more intensive than conventional training for patients in the subacute phase after stroke? An analysis of treatment intensity and content
Brunner, I. C., Skouen, J. S., Hofstad, H., Aßmuss, J., Becker, F., Pallesen, H., Thijs, L., & Verheyden, G. (2016) · BMC Neurology · doi:10.1186/s12883-016-0740-y · Cited by 64
Neuroplasticity and Virtual Reality
Cheung, K. L., Tunik, E., Adamovich, S., & Boyd, L. A. (2014) · Virtual reality technologies for health and clinical applications · doi:10.1007/978-1-4939-0968-1_2 · Cited by 61
Referent control of action and perception: Challenging conventional theories in behavioral neuroscience
Feldman, A. G. (2015) · Thammasat University Digital Collections · Cited by 60
The effects of the amount and variability of practice on the learning of a multi-segmented motor task
Proteau, L., Blandin, Y., ALAIN, C., & Dorion, A. (1994) · Acta Psychologica · doi:10.1016/0001-6918(94)90020-5 · Cited by 59
Kinematics of Reaching Movements in a 2-D Virtual Environment in Adults With and Without Stroke
Liebermann, D. G., Berman, S., Weiss, P. L., & Levin, M. F. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2206117 · Cited by 59
Self-citation
Use it and/or lose it—experience effects on brain remodeling across time after stroke
Allred, R. P., Kim, S. Y., & Jones, T. A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00379 · Cited by 55
Exploring the bases for a mixed reality stroke rehabilitation system, Part II: Design of Interactive Feedback for upper limb rehabilitation
Lehrer, N., Chen, Y., Duff, M., Wolf, S. L., & Rikakis, T. (2011) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-8-54 · Cited by 55
Motor Learning Conundrums (and Possible Solutions)
Lee, T. D., & Wishart, L. R. (2005) · Quest · doi:10.1080/00336297.2005.10491843 · Cited by 53
Go Home, Sit Less: The Impact of Home Versus Hospital Rehabilitation Environment on Activity Levels of Stroke Survivors
Simpson, D. B., Breslin, M. C., Cumming, T. B., de Zoete, S., Gall, S., Schmidt, M. W., English, C., & Callisaya, M. L. (2018) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2018.04.012 · Cited by 47
Adapting relative phase of bimanual isometric force coordination through scaling visual information intermittency
Lafe, C. W., Pacheco, M. M., & Newell, K. M. (2016) · Human Movement Science · doi:10.1016/j.humov.2016.03.011 · Cited by 41
Commercial gaming devices for stroke upper limb rehabilitation: a survey of current practice
Thomson, K., Pollock, A., Bugge, C., & Brady, M. (2015) · Disability and Rehabilitation Assistive Technology · doi:10.3109/17483107.2015.1005031 · Cited by 41
Reductive and Emergent Views on Motor Learning in Rehabilitation Practice
van Dijk, L., van der Sluis, C. K., & Bongers, R. M. (2016) · Journal of Motor Behavior · doi:10.1080/00222895.2016.1191418 · Cited by 21
Exercise intensity is increased during upper limb movement training using a virtual rehabilitation system
Baniña, M. C., Molad, R., Solomon, J. M., Frenkel‐Toledo, S., Soroker, N., Berman, S., Liebermann, D. G., & Levin, M. F. (2019) · International Conference on Virtual Rehabilitation · doi:10.1109/icvr46560.2019.8994735 · Cited by 4
Self-citation
The journey from research to practice: A road less travelled
Lannin, N. A., & Laver, K. (2012) · Australian Occupational Therapy Journal · doi:10.1111/1440-1630.12021 · Cited by 2
Untitled work
Kleim (n.d.) · doi:10.1044/1092-4388(2008/018

Research works printed but not linked: 3

Asatryan DG, 1965, Biophysics, 10, 925
Hondori HM, 2013, Stud Health Technol Inform, 184, 279
Laver KE, 2015, Cochrane Database Syst Rev, 2, CD008349

Sorted by citations

A systematic review of immersive technology applications for medical practice and education - Trends, application areas, recipients, teaching contents, evaluation methods, and performance
Tang, Y. M., Chau, K. Y., Kwok, A. P. K., Zhu, T., & Ma, X. (2021) · Educational Research Review · doi:10.1016/j.edurev.2021.100429 · Cited by 306
Effectiveness of Using Virtual Reality–Supported Exercise Therapy for Upper Extremity Motor Rehabilitation in Patients With Stroke: Systematic Review and Meta-analysis of Randomized Controlled Trials
Chen, J., Or, C. K., & Chen, T. (2022) · Journal of Medical Internet Research · doi:10.2196/24111 · Cited by 291
Increased cognitive load in immersive virtual reality during visuomotor adaptation is associated with decreased long-term retention and context transfer
Juliano, J. M., Schweighofer, N., & Liew, S. (2022) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-01084-6 · Cited by 101
Exploring the transformative influence of neuroplasticity on stroke rehabilitation: a narrative review of current evidence
Aderinto, N., Muili, A. O., Olatunji, G. D., & Adejumo, T. J. (2023) · Annals of Medicine and Surgery · doi:10.1097/ms9.0000000000001137 · Cited by 118
Leveraging Factors of Self-Efficacy and Motivation to Optimize Stroke Recovery
Gangwani, R., Cain, A., Collins, A., & Cassidy, J. M. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.823202 · Cited by 115

See all 198

Authors: Levin, M. F., & Demers, M.
Affiliations: Jewish Rehabilitation Hospital (CA)
University of Southern California (US)
Corresponding author: Levin, Mindy F.
ORCID: Levin, Mindy F.
Demers, Marika
Venue: Disability and Rehabilitation
Publisher: Informa UK Limited
Published: 2020-04-22
Volume: 43
Issue: 24
Pages: 3445-3453
ISSN: 0963-8288 (ISSN-L)
1464-5165
DOI: 10.1080/09638288.2020.1752317
OpenAlex: W3017170620
Cited by: 198
References: 109
Citations by year: 2026: 35 · 2025: 55 · 2024: 43 · 2023: 35 · 2022: 21 · 2021: 8 · 2020: 1
FWCI: 1.99
Type: journal article
Language: en
Open access: closed
Locations: Disability and Rehabilitation (publishedVersion)
PubMed (publishedVersion)
Funders: Fonds de la Recherche du Québec en Santé
Topics: Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
Keywords: motor learning, neurorehabilitation, motor control theory, dynamical systems theory, upper limb training, sensorimotor recovery, virtual reality, augmented reality, mixed reality, neuroplasticity, practice structure, movement feedback, motor impairment
MeSH terms: Neurological Rehabilitation, Stroke Rehabilitation, Virtual Reality, Humans, Movement, Neuronal Plasticity, Physical Therapy Modalities

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Motor learning in neurological rehabilitation

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks