Upper limb virtual rehabilitation for traumatic brain injury: Initial evaluation of the elements system

References

• Wilson PH, Thomas PR, Shum D, Duckworth J, Gugliemetti M, Rudolph H, Mumford N, Eldridge R. A virtual tabletop workspace for the assessment of upper limb function in Traumatic Brain Injury (TBI). Proceedings of the Annual Conference on Virtual Rehabilitation, VeniceItaly, September 27–29, 2007, DOI: 10.1109/ICVR.2007.4362122
   Google Scholar
• McCrea PH, Eng JJ, Hodgson AJ. Biomechanics of reaching: Clinical implications for individuals with acquired brain injury. Disability and Rehabilitation 2002; 24: 534–541
   PubMed Web of Science ®Google Scholar
• Wilson BA. Traumatic brain injury. Comprehensive clinical psychology, AS Bellack, M Hersen. Elsevier Science Ltd, Oxford 1998; 463–486
   Google Scholar
• Rizzo AA, Schultheis MT, Kerns KA, Mateer C. Analysis of assets for virtual reality applications in neuropsychology. Neuropsychological Rehabilitation 2004; 14: 207–239
   Web of Science ®Google Scholar
• Henderson A, Korner-Bittensky N, Levin M. Virtual reality in stroke rehabilitation: A systematic review of its effectiveness for upper limb motor revovery. Topics in Stroke Rehabilitation 2007; 14: 52–61
   PubMed Web of Science ®Google Scholar
• McGeorge P, Philips L, Crawford J, Garden S, Della-Sala S, Hamilton S, Callender JS. Using virtual environments in the assessment of executive dysfunction. Presence 2001; 10: 375–383
   Google Scholar
• Matheis RJ, Schultheis MT, Tiersky LA, DeLuca J, Millis SR, Rizzo A. Is learning and memory different in a virtual environment?. The Clinical Neuropsychologist 2007; 21: 146–161
   PubMed Web of Science ®Google Scholar
• Wald J, Liu L, Reil S. Concurrent validity of a virtual reality driving assessment for persons with brain injury. Cyberpsychology & Behavior 2000; 3: 643–654
   Google Scholar
• Schultheis MT, Mourant RR. Virtual reality and driving: The road to better assessment for cognitively impaired populations. Presence 2001; 10: 431–439
   Google Scholar
• Zhang L, Abreu BC, Masel B, Scheibel RS, Christiansen C, Huddleston N, Ottenbacher KJ. Virtual reality in the assessment of selected cognitive function after brain injury. American Journal of Physical Medicine & Rehabilitation 2001; 80: 597–604
   PubMed Web of Science ®Google Scholar
• Sveistrup H, McComas J, Thornton M, Marshall S, Finestone H, McCormick A, Babulic K, et al. Experimental studies of virtual reality-delivered compared to conventional exercise programs for rehabilitation. Cyberpsychology & Behavior 2003; 6: 245–251
   PubMedGoogle Scholar
• Grealy MA, Johnson D, Rushton SK. Improving cognitive function after brain injury: The use of exercise and virtual reality. Archives of Physical Medicine and Rehabilitation 1999; 80: 661–667
   PubMed Web of Science ®Google Scholar
• Fisher I, Ziviani J. Explanatory case studies: Implications and applications for clinical research. Australian Occupational Therapy Journal 2004; 51: 185–191
   Google Scholar
• David D. Case study methodology: Fundamentals and critical analysis. Cognition, Brain, Behavior 2007; 11: 299–317
   Google Scholar
• Kinugasa T, Cerin E, Hooper S. Single-subject research designs and data analyses for assessing elite athletes’ conditioning. Sports Medicine 2004; 35: 1035–1050
   Google Scholar
• Laycock J. Assessment and treatment of pelvic floor dysfunction. PhD Thesis, University of Bradford, BradfordUK 1992
   Google Scholar
• Platz T, VanWijck F, Jonhnson G. ARM: Arm rehabilitation measurement. Deutscher Wissenshafts-Verlag, Baden-Baden 2005
   Google Scholar
• Jeannerod M. Motor cognition: What actions tell to the self. Oxford University Press, Oxford, UK 2006
   Google Scholar
• Jeannerod M. The origin of voluntary action. History of a physiological concept. C R Biologies 2006; 39: 354–362
   Google Scholar
• Gibson JJ. The senses considered as perceptual systems. Houghton Mifflin, Boston 1966
   Google Scholar
• Turvey MT. Preliminaries to a theory of action. Erlbaum, Hillsdale, NJ 1980
   Google Scholar
• Shumway-Cook A, Woollacott MH. Motor control: Translating research into clinical practice. Lippincott Williams & Wilkins, New York 2007
   Google Scholar
• Law M. The person-environment-occupation model: A transactive approach to occupational performance. Canadian Journal of Occupational Therapy 1996; 63: 9–23
   Google Scholar
• Rosenbaum DA, Meulenbroek RJ, Vaughan J. What is the point of motor planning?. International Journal of Sport and Exercise Psychology 2004; 2: 439–469
   Google Scholar
• VanVliet PM, Wulf G. Extrinsic feedback for motor learning after stroke: What is the evidence?. Disability and Rehabilitation 2006; 28: 831–840
   PubMed Web of Science ®Google Scholar
• Maulucci RA, Eckhouse RH. Retraining reaching in chronic stroke with real-time auditory feedback. NeuroRehabilitation 2001; 16: 171–182
   PubMed Web of Science ®Google Scholar
• Armagan O, Tascioglu F, Oner C. Electromyographic biofeedback in the treatment of the hemiplegic hand: A placebo-controlled study. American Journal of Physical Medicine & Rehabilitation 2003; 82: 856–861
   PubMed Web of Science ®Google Scholar
• Piron L, Tonin P, Trivello E, Battistin L, Dam M. Motor tele-rehabilitation in post-stroke patients. Medical Informatics and the Internet in Medicine 2004; 29: 119–125
   PubMed Web of Science ®Google Scholar
• Holden MK, Dyar T, Callahan J, Schwamm L, Bizzi E. Quantitative assessment of motor generalization in the real world following training in a virtual environment in patients with stroke. Neurology Report 2001; 25: 129–130
   Google Scholar
• Wilson PH, Thomas PR, Shum D, Duckworth J, Gugliemetti M, Rudolph H, Mumford N, Eldridge R. A multilevel model for movement rehabilitation in Traumatic Brain Injury (TBI) using Virtual Environments. Proceedings of the 5th International Workshop on Virtual Rehabilitation, New YorkUSA, August 29–30, 2006, (in press)
   Google Scholar
• Wulf G, Prinz W. Directing attention to movement effects enhances learning: A review. Psychonomic Bulletin & Review 2001; 8: 648–660
   PubMed Web of Science ®Google Scholar
• 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: 147–158
   PubMed Web of Science ®Google Scholar
• Desrosiers J, Rochette A, Hebert R, Bravo G. The Minnesota Manual Dexterity: Reliability, validity and reference values studies with health elderly people. Canadian Journal of Occupational Therapy 1997; 64: 270–276
   Google Scholar
• Seidler R, Noll DC, Thiers G. Feedforward and feedback processes in motor control. NeuroImage 2004; 22: 1775–1783
   PubMed Web of Science ®Google Scholar
• McCarron L. McCarron assessment of neuromuscular development: Fine and gross motor abilities. McCarron-Dial Systems inc., Dallas, TX 1997
   Google Scholar
• Morgan DL, Morgan RK. Single-participant research design. American Psychologist 2001; 56: 119–127
   PubMed Web of Science ®Google Scholar
• Backman CL, Harris SR. Case studies, single subject research, and N of 1 randomized trials: Comparisons and contrasts. American Journal of Physical Medicine & Rehabilitation 1999; 78: 170–176
   PubMed Web of Science ®Google Scholar
• Radomski MV. Occupational therapy practice guidelines for adults with traumatic brain injury. The American Occupational Therapy Association Inc, Betheda, MD 2000
   Google Scholar
• Sideridis GD. Data smoothing: Prediction of human behavior, detection of behavioral patterns, and monitoring treatment effectiveness in single-subject behavioral studies. Journal of Behavioral Education 1997; 7: 191–203
   Google Scholar
• Nourbakhsh MR, Ottenbacher KJ. The statistical analysis of single-subject data: A comparative examination. Physical Therapy 1993; 74: 768–776
   Web of Science ®Google Scholar
• Vaz D, Schettino R, Castro T, Teixeira VR, Furtado S, Figueiredo E. Treadmill training for ataxic patients: A single-subject experimental design. Clinical Rehabilitation 2008; 22: 234–241
   PubMed Web of Science ®Google Scholar
• Eastridge D, Mozzoni MP. Fluency and functional motor skills following brain injury. Behavioral Interventions 2005; 20: 77–89
   Web of Science ®Google Scholar
• Platz T, Winter T, Muller N, Pinkowski C, Eickhof C, Mauritz K. Arm ability training for stroke and traumatic brain injury patients with mild arm paresis: A single-blind, randomized, controlled trial. Archives of Physical Medicine Rehabilitation 2001; 82: 961–968
   PubMed Web of Science ®Google Scholar
• Platz T, Hesse S, Mauritz KH. Motor rehabilitation after traumatic brain injury and stroke—advances in assessment and therapy. Restorative Neurology and Neuroscience 1999; 14: 161–166
   Web of Science ®Google Scholar
• Hubert V, Beaunieux H, Chetelat G, Platel H, Landeau B, Danion J-M, Viader F, Desgranges B, Eustache F. The dynamic network subserving the three phases of cognitive procedural learning. Human Brain Mapping 2007; 28: 1415–1429
   PubMed Web of Science ®Google Scholar
• Mastos M, Miller K, Eliasson A, Imms C. Goal-directed training: Linking theories of treatment to clinical practice for improved functional activities in daily life. Clinical Rehabilitation 2007; 21: 47–55
   PubMed Web of Science ®Google Scholar
• Gentleman D. Rehabilitation after traumatic brain injury. Trauma 2001; 3: 193–204
   Google Scholar
• Siegert RJ, Taylor WJ. Theoretical aspects of goal-setting and motivation in rehabilitation. Disability and Rehabilitation 2004; 26: 1–8
   PubMed Web of Science ®Google Scholar
• Winstein C, Wing AM, Whitall J. Motor control and learning principles for rehabilitation of upper limb movements after brain injury. Handbook of neuropsychology2nd, J Grafman, IH Robertson. Elsevier Science B.V., Amsterdam 2003; 77–137
   Google Scholar
• Rose DK, Winstein CJ. Bimanual training after stroke: Are two hands better than one?. Topics in Stroke Rehabilitation 2004; 11: 20–31
   PubMedGoogle Scholar
• Boian R, Sharma A, Han C, Merians A, Burdea G, Adamovich S, Recce M, Tremaine M. Virtual reality-based post-stroke hand rehabilitation. Medicine Meets Virtual Reality Conference. IOS Press, Newport Beach, CA 2002; 64–70
   Google Scholar
• Fischer HC, Stubblefield K, Kline T, Lou 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: 1–12
   PubMed Web of Science ®Google Scholar
• Stewart JC, Yeh S, Jung Y, Yoon H, Whitford M, Chen S-Y, Li L, McLaughlin M, Rizzo A, Winstein CJ. Intervention to enhance skilled arm and hand movements after stroke: A feasibility study using a new virtual reality system. Journal of NeuroEngineering and Rehabilitation 2007; 4: 21, Open Access
   PubMed Web of Science ®Google Scholar
• Gaggioli A, Meneghini A, Pigatto M, Pozzato I, Greggio G, Morganti F, et al. Computer-enhanced mental practice in upper-limb rehabilitation after cerebrovascular accident: A case series study. Virtual Rehabilitation. VeniceItaly 2007; 151–154
   Google Scholar
• Turolla A, Tonin P, Zucconi C, Agostini M, Piccione F, Dam M, Piron L. Reinforcement feedback in virtual environment vs conventional physical therapy for arm motor deficit after stroke. Virtual Rehabilitation. VeniceItaly 2007; 49–52, DOI: 10.1109/ICVR.2007.4362129
   Google Scholar
• Bajo A, Fleminger S. Brain injury rehabilitation: What works for whom and when?. Brain Injury 2002; 16: 385–395
   PubMed Web of Science ®Google Scholar
• Pridmore T, Hilton D, Green J, Eastgate R, Cobb S. Mixed reality environments in stroke rehabilitation: Interfaces across the real/virtual divide. 5th International Conference on Disability, Virtual Reality & Associated Technology. Oxford, UK 2004; 11–18
   Google Scholar
• Edmans JA, Gladman J, Walker M, Sunderland A, Porter A, Fraser DS. Mixed reality environments in stroke rehabilitation: Development as rehabilitation tools. 5th International Conference on Disability. Virtual Reality & Associated Technology, Oxford, UK 2004; 3–10
   Google Scholar
• Piron L, Tonin P, Atzori AM, Zucconi C, Massaro C, Trivello E, Dam M. The augmented-feedback rehabilitation technique facilitates the arm motor recovery in patients after a recent stroke. Studies in Health Technology and Informatics 2003; 94: 265–267
   PubMedGoogle Scholar
• Piron L, Tombolini P, Turolla A, Zucconi C, Agostini M, Dam M, Santarello G, Piccione F, Tonin P. Reinforced feedback in virtual environment facilitates the arm motor recovery in patients after a recent stroke. Virtual Rehabilitation. VeniceItaly 2007; 121–123, DOI: 10.1109/ICVR.2007.4362151
   Google Scholar