Mechanism of Kinect-based virtual reality training for motor functional recovery of upper limbs after subacute stroke

Neural Regeneration Research

Volumn 8, Issue 31, 2013, Pages 2904-2913

  Bao, Xiao ^a   Mao, Yu Rong ^a   Lin, Qiang ^a   Qiu, Yun Hai ^b   Chen, Shao Zhen ^a   Li, Le ^a   Cates, Ryan S ^c   Zhou, Shu Feng ^c   Huang, Dong Feng ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^c UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Brain activation; Cerebral cortex; Functional MRI; Grants supported paper; Kinect based virtual reality training; Neural plasticity; Neural regeneration; Neurological rehabilitation; Neuroregeneration; Region of interest; Rehabilitation training; Stroke; Upper limb; Virtual reality

Indexed keywords

AMLODIPINE BESYLATE; ATORVASTATIN; INSULIN; METFORMIN; NIFEDIPINE;

ADULT; AGED; ARM MOVEMENT; ARTICLE; AUDITORY STIMULATION; BEHAVIOR CHANGE; BRAIN REGION; CEREBELLUM; CEREBROVASCULAR ACCIDENT; CLINICAL ARTICLE; CONTROLLED STUDY; DIABETES MELLITUS; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GAME; HEMIPLEGIA; HUMAN; HYPERLIPIDEMIA; HYPERTENSION; KINECT BASED VIRTUAL REALITY TRAINING; MALE; MOTOR DYSFUNCTION; MOTOR PERFORMANCE; QUANTITATIVE ANALYSIS; SENSORIMOTOR CORTEX; SUPPLEMENTARY MOTOR AREA; VIRTUAL REALITY; VISUAL STIMULATION; ARM DISEASE; ASSESSMENT OF HUMANS; CLINICAL ASSESSMENT; COMPUTER ASSISTED TOMOGRAPHY; EXERCISE RECOVERY; FOLLOW UP; FUGL MEYER ASSESSMENT SCORE; KINECT BASED VIRTUAL REALITY; LIMB DISEASE; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; OXYGEN BLOOD LEVEL; VIRTUAL REALITY EXPOSURE THERAPY; WOLF MOTOR FUNCTION TAST SCORE;

EID: 84889076729     PISSN: 16735374     EISSN: 18767958     Source Type: Journal    
DOI: 10.3969/j.issn.1673-5374.2013.31.003     Document Type: Article

References (41)

1. Dai CY, Huang YH, Chou LW, et al. Effects of primary caregiver participation in vestibular rehabilitation for unilateral neglect patients with right hemispheric stroke: a randomized controlled trial. Neuropsychiatr Dis Treat. 2013;9:477-484.
2. Kleindorfer D, Broderick J, Khoury J, et al. The unchanging incidence and case-fatality of stroke in the 1990s: a population-based study. Stroke. 2006;37(10):2473-2478.
3. Patel MD, Tilling K, Lawrence E, et al. Relationships between long-term stroke disability, handicap and health-related quality of life. Age Ageing. 2006;35(3):273-279.
4. French B, Thomas LH, Leathley MJ, et al. Repetitive task training for improving functional ability after stroke. Cochrane Database Syst Rev. 2007;(4):CD006073.
5. Guerrero C, Uribe-Quevedo A. Kinect-based posture tracking for correcting positions during exercise. Stud Health Technol Inform. 2013;184:158-160.
6. Banerjee T, Keller JM, Skubic M, et al. Resident identification using Kinect depth image data and fuzzy clustering techniques. Conf Proc IEEE Eng Med Biol Soc. 2012; 2012:5102-5105.
7. Page SJ, Levine P, Leonard AC, et al. Modified constraint-induced therapy in acute stroke: a randomized controlled pilot study. Neurorehabil Neural Repair. 2005;19(1):27-32.
8. Thielman G, Bonsall P. Rehabilitation of the upper extremity after stroke: a case series evaluating reotherapy and an auditory sensor feedback for trunk control. Stroke Res Treat. 2012;2012:348631.
9. Kim YM, Chun MH, Yun GJ, et al. The effect of virtual reality training on unilateral spatial neglect in stroke patients. Ann Rehabil Med. 2011;35(3):309-315.
10. Laver KE, George S, Thomas S, et al. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2011(9):CD008349.
11. Housman SJ, Scott KM, Reinkensmeyer DJ. A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesis. Neurorehabil Neural Repair. 2009;23(5):505-514.
12. Piron L, Turolla A, Agostini M, et al. Motor learning principles for rehabilitation: a pilot randomized controlled study in poststroke patients. Neurorehabil Neural Repair. 2010; 24(6):501-508.
13. Saposnik G, Teasell R, Mamdani M, et al. Effectiveness of virtual reality using wii gaming technology in stroke rehabilitation: a pilot randomized clinical trial and proof of principle. Stroke. 2010;41(7):1477-1484.
14. Lange B, Chang CY, Suma E, et al. Development and evaluation of low cost game-based balance rehabilitation tool using the microsoft Kinect sensor. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:1831-1834.
15. Calautti C, Baron JC. Functional neuroimaging studies of motor recovery after stroke in adults: a review. Stroke. 2003;34(6):1553-1566.
16. Cramer SC, Bastings EP. Mapping clinically relevant plasticity after stroke. Neuropharmacology. 2000;39(5):842-851.
17. Dijkhuizen RM, van der Marel K, Otte WM, et al. Functional mri and diffusion tensor imaging of brain reorganization after experimental stroke. Transl Stroke Res. 2012;3(1):36-43.
18. Chang YJ, Chen SF, Huang JD, et al. A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities. Res Dev Disabil. 2011;32(6): 2566-2570.
19. State Council of the People's Republic of China. Administrative Regulations on Medical Institution. 1994-09-01.
20. Calautti C, Naccarato M. The relationship between motor deficit and hemisphere activation balance after stroke: A 3T fMRI study. Neuroimage. 2007;34(1):322-331.
21. Konczak J, Pierscianek D. Recovery of upper limb function after cerebellar stroke: lesion symptom mapping and arm kinematics. Stroke. 2010;41(10):2191-200.
22. Szameitat AJ, Shen S, Conforto A, et al. Cortical activation during executed, imagined, observed, and passive wrist movements in healthy volunteers and stroke patients. Neuroimage. 2012;62(11):266-280.
23. Lefebvre S, Dricot L, Gradkowski W, et al. Brain activations underlying different patterns of performance improvement during early motor skill learning. Neuroimage. 2012;62(1):290-299.
24. Rehme AK, Fink GR, von Cramon DY, et al. The role of the contralesional motor cortex for motor recovery in the early days after stroke assessed with longitudinal FMRI. Cereb Cortex. 2011;21(4):756-768.
25. Loubinoux I, Dechaumont-Palacin S, Castel-Lacanal E, et al. Prognostic value of FMRI in recovery of hand function in subcortical stroke patients. Cereb Cortex. 2007;17(12): 2980-2987.
26. Rehme AK, Eickhoff SB, Wang LE, et al. Dynamic causal modeling of cortical activity from the acute to the chronic stage after stroke. Neuroimage. 2011;55(1):1147-1158.
27. Loibl M, Beutling W, Kaza E, et al. Non-effective increase of FMRI-activation for motor performance in elder individuals. Behav Brain Res. 2011;223(2):280-286.
28. Solodkin A, Hlustik P, Noll DC, et al. Lateralization of motor circuits and handedness during finger movements. Eur J Neurol. 2001;8(5):425-434.
29. Hlustik P, Solodkin A, Gullapalli RP, et al. Functional lateralization of the human premotor cortex during sequential movements. Brain Cogn. 2002;9(1):54-62.
30. Dong Y, Winstein CJ, Albistegui-DuBois R, et al. Evolution of fMRI activation in the perilesional primary motor cortex and cerebellum with rehabilitation training-related motor gains after stroke: a pilot study. Neurorehabil Neural Repair. 2007;21(5):412-428.
31. Tombari D, Loubinoux I, Pariente J, et al. A longitudinal fMRI study: in recovering and then in clinically stable sub-cortical stroke patients. Neuroimage. 2004;23(3):827-839.
32. Ward NS, Brown MM, Thompson AJ, et al. Neural correlates of outcome after stroke: a cross-sectional FMRI study. Brain. 2003;126(Pt 6):1430-1448.
33. Mintzopoulos D, Astrakas LG. Connectivity alterations assessed by combining fMRI andMR-compatible hand robots in chronic stroke. Neuroimage. 2009;47 Suppl 2: T90-T97.
34. Nair DG, Hutchinson S. Imaging correlates of motor recovery from cerebral infarction and their physiological significance in well-recovered patients. Neuroimage. 2007;34(1):253-263.
35. Cook DJ, Crandall A, Singla G, et al. Indoor way finding based on wireless sensor networks for individuals with multiple special needs. Cybern Syst. 2010;(41):317-333.
36. Chang YJ, Peng SM, Wang TY, et al. Autonomous indoor way finding for individuals with cognitive impairments. J Neuroeng Rehabil. 2010;7:45.
37. Chang YJ, Wang TY. Comparing picture and video prompting in autonomous indoor wayfinding for individuals with cognitive impairments. Personal and Ubiquitous Computing. 2010;(14):737-747.
38. Shih CH, Chang ML, Shih CT, et al. A new limb movement detector enabling people with multiple disabilities to control environmental stimulation through limb swing with a gyration air mouse. Res Dev Disabil. 2010;31(4):875-880.
39. Lachapelle Y, Wehmeyer ML, Haelewyck MC, et al. The relationship between quality of life and self-determination: an international study. J Intellect Disabil Res. 2005;49(Pt 10):740-744.
40. Wessels R, Dijcks B, Soede M, et al. Non-use of provided assistive technology devices: a literature overview. Technol Disabil. 2003;(15):231-238.
41. Felce D, Perry J. Quality of life: its definition and measurement. Res Dev Disabil. 1995;16(1):51-74.