Tracking motor improvement at the subtask level during robot-aided neurorehabilitation of stroke patients

Neurorehabilitation and Neural Repair

Volumn 26, Issue 7, 2012, Pages 822-833

  Panarese, Alessandro ^a   Colombo, Roberto ^b   Sterpi, Irma ^b   Pisano, Fabrizio ^b   Micera, Silvestro ^a,c  

^a SCUOLA SUPERIORE SANT ANNA   (Italy)

^b IRCCS   (Italy)

^c EPFL   (Switzerland)

Author keywords

motor improvement; neurorehabilitation; robotic therapy; stroke

Indexed keywords

ARTICLE; CLINICAL ARTICLE; FEMALE; HUMAN; MALE; MOTOR PERFORMANCE; MUSCLE TRAINING; NEUROMUSCULAR SYSTEM; PHYSIOTHERAPY; ROBOTICS; STROKE; TASK PERFORMANCE;

ADULT; ARM; BIOMECHANICS; CHRONIC DISEASE; EXERCISE THERAPY; FEMALE; HUMANS; MALE; PARESIS; RECOVERY OF FUNCTION; ROBOTICS; STROKE; TIME FACTORS;

EID: 84861503021     PISSN: 15459683     EISSN: 15526844     Source Type: Journal    
DOI: 10.1177/1545968311431966     Document Type: Article

References (44)

1. Dobkin BH. Training and exercise to drive poststroke recovery. Nat Clin Pract Neurol. 2008 ; 4: 76-85
2. Nakayama H, Jorgensen HS, Raaschou HO, Olsen TS. Recovery of upper extremity in stroke patients: the Copenhagen Stroke Study. Arch Phys Med Rehabil. 1994 ; 75: 394-398
3. Pomeroy V, Aglioti SM, Mark VW, et al. Neurological principles and rehabilitation of action disorders: rehabilitation interventions. Neurorehabil Neural Repair. 2011 ; 25: 33S - 43S
4. Kaas JH. Plasticity of sensory and motor maps in adult mammals. Annu Rev Neurosci. 1991 ; 14: 137-167
5. Nudo RJ, Wise BM, Sifuentes F, Milliken GW. Neural substrates for the effect of rehabilitative training on motor recovery after ischemic infarct. Science. 1996 ; 272: 1791-1794
6. Taub E, Uswatte G, Elbert T. New treatments in neurorehabilitation founded on basic research. Nat Rev Neurosci. 2002 ; 3: 228-236
7. Jones T, Allred RP, Adkins DL, Hsu JE, O'Bryant A, Maldonado MA. Remodeling the brain with behavioral experience after stroke. Stroke. 2009 ; 40: 136-138
8. Wolf SL, Winstein CJ, Miller JP, et al. Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stoke: the EXCITE randomized clinical trial. JAMA. 2006 ; 296: 2095-2104
9. Wu CY, Chuang LL, Lin KC, Chen HC, Tsay PK. Randomized trial of distributed constraint-induced therapy versus bilateral arm training for the rehabilitation of upper-limb motor control and function after stroke. Neurorehabil Neural Repair. 2011 ; 25: 130-139
10. Whitall J, Waller SM, Sorkin JD, et al. Bilateral and unilateral arm training improve motor function through differing neuroplastic mechanisms: a single-blinded randomized controlled trial. Neurorehabil Neural Repair. 2011 ; 25: 118-129
11. Kwakkel G, Kollen BJ, Krebs HI. Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. Neurorehabil Neural Repair. 2008 ; 22: 111-121
12. Reinkensmeyer DJ, Kahn LE, Averbuch M, McKenna-Cole A, Schmit BD, Rymer WZ. Understanding and treating arm movement impairment after chronic brain injury: progress with the ARM guide. J Rehabil Res Dev. 2000 ; 37: 653-662
13. Volpe BT, Lynch D, Rykman-Berland A, et al. Intensive sensorimotor training mediated by therapist or robot improves hemiparesis in patients with chronic stroke. Neurorehabil Neural Repair. 2008 ; 22: 305-310
14. Krakauer JW. Motor learning: its relevance to stroke recovery and neurorehabilitation. Curr Opin Neurol. 2006 ; 19: 84-90
15. Hsieh YW, Wu CY, Liao WW, Lin KC, Wu KY, Lee CY. Effect of treatment intensity in upper limb robot-assisted therapy for chronic stroke. Neurorehabil Neural Repair. 2011 ; 25: 503-511
16. Lo AC, Gurrino PD, Richards LG, et al. Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med. 2010 ; 362: 1772-1783
17. Bosnell RA, Kincses T, Stagg CJ, et al. Motor practice promotes increased activity in brain regions structurally disconnected after subcortical stroke. Neurorehabil Neural Repair. 2011 ; 25: 756-765
18. Timmermans AA, Spooren AI, Kingma H, Seelen HA. Influence of task-oriented training content on skilled arm-hand performance in stroke: a systematic review. Neurorehabil Neural Repair. 2010 ; 24: 858-870
19. Bosecker C, Dipietro L, Volpe B, Krebs HI. Kinematic robot-based evaluation scales and clinical counterparts to measure upper limb motor performance in patients with chronic stroke. Neurorehabil Neural Repair. 2010 ; 24: 62-69
20. Rohrer B, Fasoli S, Krebs HI, et al. Movement smoothness changes during stroke recovery. J Neurosci. 2002 ; 22: 8297-8304
21. Colombo R, Pisano F, Micera S, et al. Robotic techniques for upper limb evaluation and rehabilitation of stroke patients. IEEE Trans Neural Syst Rehabil Eng. 2005 ; 13: 311-324
22. Emken JL, Benitez R, Sideris A, Bobrow JE, Reinkensmeyer DJ. Motor adaptation as a greedy optimization of error and effort. J Neurophysiol. 2007 ; 97: 3997-4006
23. Celik O, O'Malley MK, Boake C, Levin HS, Yozbatiran N, Reistetter TA. Normalized movement quality measures for therapeutic robots strongly correlate with clinical motor impairment measures. IEEE Trans Neural Syst Rehabil Eng. 2010 ; 18: 433-444
24. Colombo R, Pisano F, Micera S, et al. Assessing mechanisms of recovery during robot-aided neurorehabilitation of the upper limb. Neurorehabil Neural Repair. 2008 ; 22: 50-63
25. Krebs HI, Palazzolo JJ, Dipietro L, et al. Rehabilitation robotics: Performance-based progressive robot-assisted therapy. Auton Robots. 2003 ; 15: 7-20
26. Reinkensmeyer D, Aoyagi D, Emken J, et al. Robotic gait training: toward more natural movements and optimal training algorithms. Conf Proc IEEE Eng Med Biol Soc. 2004 ; 7: 4818-4821
27. Li Y, Huegel J, Patoglu V, O'Malley M. Progressive shared control for training in virtual environments. Conf Proc World Haptics. 2009 ;: 332-337
28. Choi Y, Gordon J, Kim D, Schweighofer N. An adaptive automated robotic task-practice system for rehabilitation of arm functions after stroke. IEEE Trans Robot. 2009 ; 25: 556-568
29. Kan P, Hug R, Hoey J, Goetschalckx R, Mihailidis A. The development of an adaptive upper-limb stroke rehabilitation robotic system. J Neuroeng Rehabil. 2011 ; 8: 33
30. Micera S, Carrozza MC, Guglielmelli E, et al. A simple robotic system for neurorehabilitation. Auton Robots. 2005 ; 19: 271-284
31. J Neurophysiol. Prerau MJ Smith AC Eden UT, ed. 2009: 3060-3072.
32. Smith AC, Frank LM, Wirth S, et al. Dynamic analysis of learning in behavioral experiments. J Neurosci. 2004 ; 24: 447-461
33. Colombo R, Sterpi I, Mazzone A, Delconte C, Minuco G, Pisano F. Measuring changes of movement dynamics during robot-aided neurorehabilitation of stroke patients. IEEE Trans Neural Syst Rehabil Eng. 2010 ; 18: 75-85
34. Micera S, Carpaneto J, Posteraro F, Cenciotti L, Popovic M, Dario P. Characterization of upper arm synergies during reaching tasks in able-bodied and hemiparetic subjects. Clin Biomech (Bristol, Avon). 2005 ; 20: 939-946
35. Brunnstrom S Movement Therapy in Hemiplegia. New York, NY: Harper & Row ; 1970:
36. Ellis MD, Sukal T, DeMott T, Dewald JP. Augmenting clinical evaluation of hemiparetic arm movement with a laboratory-based quantitative measurement of kinematics as a function of limb loading. Neurorehabil Neural Repair. 2008 ; 22: 321-329
37. Sukal TM, Ellis MD, Dewald JP. Shoulder abduction-induced reductions in reaching work area following hemiparetic stroke: neuroscientific implications. Exp Brain Res. 2007 ; 183: 215-223
38. Ellis MD, Holubar BG, Acosta AM, Beer RF, Dewald JP. Modifiability of abnormal isometric elbow and shoulder joint torque coupling after stroke. Muscle Nerve. 2005 ; 32: 170-178
39. Dipietro L, Krebs HI, Fasoli S, et al. Changing motor synergies in chronic stroke. J Neurophysiol. 2007 ; 98: 757-768
40. Dipietro L, Krebs HI, Fasoli S, et al. Submovement changes characterize generalization of motor recovery after stroke. Cortex. 2009 ; 45: 318-324
41. Rohrer B, Fasoli S, Krebs HI, et al. Submovements grow larger, fewer, and more blended during stroke recovery. Motor Control. 2004 ; 8: 472-483
42. Smith AC, Wirth S, Suzuki WA, Brown EN. Bayesian analysis of interleaved learning and response bias in behavioral experiments. J Neurophysiol. 2007 ; 97: 2516-2524
43. Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS-a Bayesian modeling framework: concepts, structure, and extensibility. Stat Comput. 2000 ; 10: 325-337
44. MurphyKMahdavianiM. MATBUGS: a matlab interface to WinBUGS. http://code.google.com/p/matbugs/. Accessed January 19, 2012.