Active robotic training improves locomotor function in a stroke survivor

BackgroundClinical outcomes after robotic training are often not superior to conventional therapy. One key factor responsible for this is the use of control strategies that provide substantial guidance. This strategy not only leads to a reduction in volitional physical effort, but also interferes with motor relearning.MethodsWe tested the feasibility of a novel training approach (active robotic training) using a powered gait orthosis (Lokomat) in mitigating post-stroke gait impairments of a 52-year-old male stroke survivor. This gait training paradigm combined patient-cooperative robot-aided walking with a target-tracking task. The training lasted for 4-weeks (12 visits, 3 × per week). The subject’s neuromotor performance and recovery were evaluated using biomechanical, neuromuscular and clinical measures recorded at various time-points (pre-training, post-training, and 6-weeks after training).ResultsActive robotic training resulted in considerable increase in target-tracking accuracy and reduction in the kinematic variability of ankle trajectory during robot-aided treadmill walking. These improvements also transferred to overground walking as characterized by larger propulsive forces and more symmetric ground reaction forces (GRFs). Training also resulted in improvements in muscle coordination, which resembled patterns observed in healthy controls. These changes were accompanied by a reduction in motor cortical excitability (MCE) of the vastus medialis, medial hamstrings, and gluteus medius muscles during treadmill walking. Importantly, active robotic training resulted in substantial improvements in several standard clinical and functional parameters. These improvements persisted during the follow-up evaluation at 6 weeks.ConclusionsThe results indicate that active robotic training appears to be a promising way of facilitating gait and physical function in moderately impaired stroke survivors.

[1]  Chitralakshmi K. Balasubramanian,et al.  Relationship between step length asymmetry and walking performance in subjects with chronic hemiparesis. , 2007, Archives of physical medicine and rehabilitation.

[2]  Emily Fox,et al.  Effects of Stroke Severity and Training Duration on Locomotor Recovery After Stroke: A Pilot Study , 2007, Neurorehabilitation and neural repair.

[3]  JanMehrholz,et al.  Electromechanical-Assisted Training for Walking After Stroke , 2013 .

[4]  Paolo Bonato,et al.  Enhancing robotic gait training via augmented feedback , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[5]  Carolynn Patten,et al.  Reliability of gait performance tests in men and women with hemiparesis after stroke. , 2005, Journal of rehabilitation medicine.

[6]  Daniel P. Ferris,et al.  Effects of physical guidance on short-term learning of walking on a narrow beam. , 2009, Gait & posture.

[7]  Chandramouli Krishnan,et al.  Corticospinal responses of quadriceps are abnormally coupled with hip adductors in chronic stroke survivors , 2012, Experimental Neurology.

[8]  Rajiv Ranganathan,et al.  Extracting synergies in gait: using EMG variability to evaluate control strategies. , 2012, Journal of neurophysiology.

[9]  T. Olsen,et al.  Outcome and time course of recovery in stroke. Part II: Time course of recovery. The Copenhagen Stroke Study. , 1995, Archives of physical medicine and rehabilitation.

[10]  D. Reinkensmeyer,et al.  Review of control strategies for robotic movement training after neurologic injury , 2009, Journal of NeuroEngineering and Rehabilitation.

[11]  Gavin Williams, Patricia Goldie Validity of motor tasks for predicting running ability in acquired brain injury , 2001, Brain injury.

[12]  T. Carroll,et al.  The effect of strength training on the force of twitches evoked by corticospinal stimulation in humans , 2009, Acta physiologica.

[13]  Joseph H Friedman,et al.  Reduction of freezing of gait in Parkinson's disease by repetitive robot-assisted treadmill training: a pilot study , 2010, Journal of NeuroEngineering and Rehabilitation.

[14]  Chitralakshmi K. Balasubramanian,et al.  Anterior-Posterior Ground Reaction Forces as a Measure of Paretic Leg Contribution in Hemiparetic Walking , 2006, Stroke.

[15]  Elizabeth A. Brackbill,et al.  Robot-assisted modifications of gait in healthy individuals , 2010, Experimental Brain Research.

[16]  R. Riener,et al.  Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  M. Latash,et al.  Muscle synergies during shifts of the center of pressure by standing persons , 2003, Experimental Brain Research.

[18]  Olavi Airaksinen,et al.  Effects of intensive therapy using gait trainer or floor walking exercises early after stroke. , 2009, Journal of rehabilitation medicine.

[19]  J. Hidler,et al.  Multicenter Randomized Clinical Trial Evaluating the Effectiveness of the Lokomat in Subacute Stroke , 2009, Neurorehabilitation and neural repair.

[20]  T. Hornby,et al.  Metabolic Costs and Muscle Activity Patterns During Robotic- and Therapist-Assisted Treadmill Walking in Individuals With Incomplete Spinal Cord Injury , 2006, Physical Therapy.

[21]  Gregory E Hicks,et al.  Minimal detectable change for gait variables collected during treadmill walking in individuals post-stroke. , 2011, Gait & posture.

[22]  R. Schmidt,et al.  Knowledge of results and motor learning: a review and critical reappraisal. , 1984, Psychological bulletin.

[23]  David J. Reinkensmeyer,et al.  Slacking by the human motor system: Computational models and implications for robotic orthoses , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  Steven C Cramer,et al.  Robotics, motor learning, and neurologic recovery. , 2004, Annual review of biomedical engineering.

[25]  V. Dietz,et al.  Treadmill training of paraplegic patients using a robotic orthosis. , 2000, Journal of rehabilitation research and development.

[26]  J. Mehrholz,et al.  Improved walking ability and reduced therapeutic stress with an electromechanical gait device. , 2009, Journal of rehabilitation medicine.

[27]  J E Deutsch,et al.  Virtual Reality-Based Approaches to Enable Walking for People Poststroke , 2007, Topics in stroke rehabilitation.

[28]  V. Dietz,et al.  Computerized Visual Feedback: An Adjunct to Robotic-Assisted Gait Training , 2008, Physical Therapy.

[29]  C. Winstein,et al.  Effects of physical guidance and knowledge of results on motor learning: support for the guidance hypothesis. , 1994, Research quarterly for exercise and sport.

[30]  Rajiv Ranganathan,et al.  Influence of Augmented Feedback on Coordination Strategies , 2009, Journal of motor behavior.

[31]  Stephan Riek,et al.  The sites of neural adaptation induced by resistance training in humans , 2002, The Journal of physiology.

[32]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[33]  Sunil K. Agrawal,et al.  Gait Training After Stroke: A Pilot Study Combining a Gravity-Balanced Orthosis, Functional Electrical Stimulation, and Visual Feedback , 2008, Journal of neurologic physical therapy : JNPT.

[34]  M. Lewek,et al.  Allowing Intralimb Kinematic Variability During Locomotor Training Poststroke Improves Kinematic Consistency: A Subgroup Analysis From a Randomized Clinical Trial , 2009, Physical Therapy.

[35]  Heather Carnahan,et al.  Bandwidth Knowledge of Results and Motor Learning: More than Just a Relative Frequency Effect , 1990 .

[36]  F. Müller,et al.  Effects of Locomotion Training With Assistance of a Robot-Driven Gait Orthosis in Hemiparetic Patients After Stroke: A Randomized Controlled Pilot Study , 2007, Stroke.

[37]  J. Nielsen,et al.  Motor skill training and strength training are associated with different plastic changes in the central nervous system. , 2005, Journal of applied physiology.

[38]  A Thevenon,et al.  Identification of healthy elderly fallers and non-fallers by gait analysis under dual-task conditions , 2006, Clinical rehabilitation.

[39]  J. Mehrholz,et al.  Robot-assisted upper and lower limb rehabilitation after stroke: walking and arm/hand function. , 2008, Deutsches Arzteblatt international.

[40]  H N Zelaznik,et al.  Spatial Conceptual Influences on the Coordination of Bimanual Actions: When a Dual Task Becomes a Single Task , 2001, Journal of motor behavior.

[41]  Joseph Hidler,et al.  Role of Robotics in Neurorehabilitation. , 2011, Topics in spinal cord injury rehabilitation.

[42]  A. Mirelman,et al.  Effects of Training With a Robot-Virtual Reality System Compared With a Robot Alone on the Gait of Individuals After Stroke , 2009, Stroke.

[43]  Corticospinal tract integrity correlates with knee extensor weakness in chronic stroke survivors , 2011, Clinical Neurophysiology.

[44]  D E Sherwood,et al.  Effect of Bandwidth Knowledge of Results on Movement Consistency , 1988, Perceptual and motor skills.

[45]  Richard R Neptune,et al.  Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke. , 2010, Journal of neurophysiology.

[46]  Robert Riener,et al.  Generalized elasticities improve patient-cooperative control of rehabilitation robots , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[47]  Kelly P Westlake,et al.  Pilot study of Lokomat versus manual-assisted treadmill training for locomotor recovery post-stroke , 2009, Journal of NeuroEngineering and Rehabilitation.

[48]  V. Dietz,et al.  Effectiveness of automated locomotor training in patients with chronic incomplete spinal cord injury: a multicenter trial. , 2005, Archives of physical medicine and rehabilitation.

[49]  Paolo Bonato,et al.  Robotic Gait Training in an Adult With Cerebral Palsy: A Case Report , 2010, PM & R : the journal of injury, function, and rehabilitation.

[50]  Daniel P. Ferris,et al.  Metabolic and mechanical energy costs of reducing vertical center of mass movement during gait. , 2009, Archives of physical medicine and rehabilitation.

[51]  J. Donelan,et al.  Mechanical and metabolic requirements for active lateral stabilization in human walking. , 2004, Journal of biomechanics.

[52]  W. Prinz,et al.  Perceptual basis of bimanual coordination , 2001, Nature.

[53]  T. Demott,et al.  Enhanced Gait-Related Improvements After Therapist- Versus Robotic-Assisted Locomotor Training in Subjects With Chronic Stroke: A Randomized Controlled Study , 2008, Stroke.

[54]  R. Schmidt,et al.  Reduced frequency of knowledge of results enhances motor skill learning. , 1990 .