Is motor-imagery brain-computer interface feasible in stroke rehabilitation?

PM and R

Volumn 6, Issue 8, 2014, Pages 723-728

  Teo, Wei Peng ^a   Chew, Effie ^b  

^a CENTRAL QUEENSLAND UNIVERSITY   (Australia)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BRAIN COMPUTER INTERFACE; CEREBROVASCULAR ACCIDENT; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; HUMAN; IMAGERY; MOTOR PERFORMANCE; NEAR INFRARED SPECTROSCOPY; NERVE CELL PLASTICITY; PRIORITY JOURNAL; REHABILITATION CARE; SENSORY FEEDBACK; BRAIN; BRAIN MAPPING; FEASIBILITY STUDY; MOTOR ACTIVITY; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; STROKE;

BRAIN; BRAIN MAPPING; BRAIN-COMPUTER INTERFACES; FEASIBILITY STUDIES; HUMANS; MOTOR ACTIVITY; STROKE;

EID: 84906938600     PISSN: 19341482     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmrj.2014.01.006     Document Type: Article

References (64)

1. World Health Organization. The 10 leading causes of death in the world, 2000 and 2011. Fact sheet, July 2013. Available at Accessed January 22, 2014. http://who.int/mediacentre/factsheets/fs310/en/.
2. Feigin V.L., Forouzanfar M.H., Krishnamurthi R., et al. Global and regional burden of stroke during 1990-2010: Findings from the Global Burden of Disease Study 2010. Lancet 2014, 383:245-254.
3. Coffey C.E., Cummings J.L., Starkstein S., Robinson R. Stroke. The American Psychiatric Press Textbook of Geriatric Neuropsychiatry 2000, American Psychiatric Publishing, Washington, DC. C.E. Coffey, J.L. Cummings (Eds.).
4. Odier C., Michel P. Common stroke syndromes. Textbook of Stroke Medicine 2009, 121-134. Cambridge University Press, New York. M. Brainin, H. Wolf-Dieter (Eds.).
5. Bates B., Choi J.Y., Duncan P.W., et al. Veterans Affairs/Department of Defense Clinical Practice Guideline for the Management of Adult Stroke Rehabilitation Care: Executive summary. Stroke 2005, 9:2049-2056.
6. Duncan P.W., Zorowitz R., Bates B., et al. Management of Adult Stroke Rehabilitation Care: A clinical practice guideline. Stroke 2005, 9:e100-e143.
7. Baskett J.J., Broad J.B., Reekie G., Hocking C., Green G. Shared responsibility for ongoing rehabilitation: A new approach to home-based therapy after stroke. Clin Rehabil 1999, 1:23-33.
8. Gladman J.R., Lincoln N.B., Barer D.H. Arandomised controlled trial of domiciliary and hospital-based rehabilitation for stroke patients after discharge from hospital. JNeurol Neurosurg Psychiatry 1993, 9:960-966.
9. Young J., Forster A. Day hospital and home physiotherapy for stroke patients: A comparative cost-effectiveness study. JR Coll Physicians Lond 1993, 3:252-258.
10. Car J.H., Shepherd R.B. Stroke rehabilitation: Guidelines for exercise and training to optimize motor skill 2003, Elsevier Science Limited, Edinburgh.
11. Lee G. Effects of training using video games on the muscle strength, muscle tone, and activities of daily living of chronic stroke patients. JPhys Ther Sci 2013, 595-597.
12. Sin H., lee G. Additional virtual reality training using Xbox Kinect in stroke survivors with hemiplegia. Am J Phys Med Rehabil 2013, 92:871-880.
13. Lange B., Flynn S., Rizzo A. Initial usability assessment of off-the-shelf video game consoles for clinical game-based motor rehabilitation. Phys Ther Rev 2009, 14:355-363.
14. Bastani A., Jaberzadeh S. Does anodal transcranial direct current stimulation enhance excitability of the motor cortex and motor function in healthy individuals and subjects with stroke: A systematic review and meta-analysis. Clin Neurophysiol 2012, 4:644-657.
15. Kim D.Y., Lim J.Y., Kang E.K., et al. Effect of transcranial direct current stimulation on motor recovery in patients with subacute stroke. Am J Phys Med Rehabil 2010, 11:879-886.
16. Kim Y.H., You S.H., Ko M.H., et al. Repetitive transcranial magnetic stimulation-induced corticomotor excitability and associated motor skill acquisition in chronic stroke. Stroke 2006, 6:1471-1476.
17. Broetz D., Braun C., Weber C., Soekadar S.R., Caria A., Birbaumer N. Combination of brain-computer interface training and goal-directed physical therapy in chronic stroke: A case report. Neurorehabil Neural Repair 2010, 7:674-679.
18. Buch E., Weber C., Cohen L.G., et al. Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke. Stroke 2008, 3:910-917.
19. Caria A., Weber C., Brötz D., et al. Chronic stroke recovery after combined BCI training and physiotherapy: A case report. Psychophysiology 2011, 4:578-582.
20. Daly J.J., Cheng R., Rogers J., Litinas K., Hrovat K., Dohring M. Feasibility of a new application of noninvasive Brain Computer Interface (BCI): A case study of training for recovery of volitional motor control after stroke. JNeurol Phys Ther 2009, 4:203-211.
21. Daly J.J., Wolpaw J.R. Brain-computer interfaces in neurological rehabilitation. Lancet Neurol 2008, 11:1032-1043.
22. Kübler A., Nijboer F., Mellinger J., et al. Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology 2005, 26:1775-1777.
23. Birbaumer N. Breaking the silence: Brain-computer interfaces (BCI) for communication and motor control. Psychophysiology 2006, 6:517-532.
24. Allison B.Z., Wolpaw E.W., Wolpaw J.R. Brain-computer interface systems: Progress and prospects. Expert Rev Med Devices 2007, 4:463-474.
25. Min B.K., Marzelli M.J., Yoo S.S. Neuroimaging-based approaches in the brain-computer interface. Trends Biotechnol 2010, 11:552-560.
26. Aisen M.L., Krebs H.I., Hogan N., McDowell F., Volpe B.T. The effect of robot-assisted therapy and rehabilitative training on motor recovery following stroke. Arch Neurol 1997, 4:443-446.
27. Jackson P. Potential role of mental practice using motor imagery in neurologic rehabilitation. Arch Phys Med Rehabil 2001, 82:1133-1141.
28. Decety J., Grezes J. Neural mechanisms subserving the perception of human actions. Trends Cogn Sci 1999, 5:172-178.
29. Sharma N., Pomeroy V.M., Baron J.C. Motor imagery: A backdoor to the motor system after stroke?. Stroke 2006, 7:1941-1952.
30. Gerardin E., Sirigu A., Lehericy S., et al. Partially overlapping neural networks for real and imagined hand movements. Cereb Cortex 2000, 11:1093-1104.
31. Hanakawa T., Immisch I., Toma K., Dimyan M.A., Van Gelderen P., Hallett M. Functional properties of brain areas associated with motor execution and imagery. JNeurophysiol 2003, 2:989-1002.
32. Facchini S., Muellbacher W., Battaglia F., Boroojerdi B., Hallett M. Focal enhancement of motor cortex excitability during motor imagery: A transcranial magnetic stimulation study. Acta Neurol Scand 2002, 3:146-151.
33. Bakker M., Overeem S., Snijders A.H., et al. Motor imagery of foot dorsiflexion and gait: Effects on corticospinal excitability. Clin Neurophysiol 2008, 11:2519-2527.
34. Cicinelli P., Marconi B., Zaccagnini M., Pasqualetti P., Filippi M.M., Rossini P.M. Imagery-induced cortical excitability changes in stroke: A transcranial magnetic stimulation study. Cereb Cortex 2006, 2:247-253.
35. Dunsky A., Dickstein R., Ariav C., Deutsch J., Marcovitz E. Motor imagery practice in gait rehabilitation of chronic post-stroke hemiparesis: Four case studies. Int J Rehabil Res 2006, 4:351-356.
36. Dunsky A., Dickstein R., Marcovitz E., Levy S., Deutsch J.E. Home-based motor imagery training for gait rehabilitation of people with chronic poststroke hemiparesis. Arch Phys Med Rehabil 2008, 8:1580-1588.
37. Zimmermann-Schlatter A., Schuster C., Puhan M.A., Siekierka E., Steurer J. Efficacy of motor imagery in post-stroke rehabilitation: A systematic review. JNeuroeng Rehabil 2008, 5:8.
38. Carrillo-de-la-Peña M.T., Galdo-Alvarez S., Lastra-Barreira C. Equivalent is not equal: Primary motor cortex (MI) activation during motor imagery and execution of sequential movements. Brain Res 2008, 1226:134-143.
39. Kranczioch C., Mathews S., Dean P.J., Sterr A. On the equivalence of executed and imagined movements: Evidence from lateralized motor and nonmotor potentials. Hum Brain Mapp 2009, 10:3275-3286.
40. Pfurtscheller G., Neuper C. Event-related synchronization of mu rhythm in the EEG over the cortical hand area in man. Neurosci Lett 1994, 1:93-96.
41. Pfurtscheller G., Brunner C., Schlogl A., Lopes da Silva F.H. Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. Neuroimage 2006, 1:153-159.
42. Page S.J., Levine P., Leonard A. Mental practice in chronic stroke: Results of a randomized, placebo-controlled trial. Stroke 2007, 4:1293-1297.
43. Scherer R., Mohapp A., Grieshofer P., Pfurtscheller G., Neuper C. Sensorimotor EEG patterns during motor imagery in hemiparetic stroke patients. Int J Bioelectromagn 2007, 9:155-162.
44. Muller-Putz G.R., Zimmermann D., Graimann B., Nestinger K., Korisek G., Pfurtscheller G. Event-related beta EEG-changes during passive and attempted foot movements in paraplegic patients. Brain Res 2007, 1:84-91.
45. Johnson S.H. Imagining the impossible: intact motor representations in hemiplegics. Neuroreport 2000, 4:729-732.
46. Johnson S.H., Sprehn G., Saykin A.J. Intact motor imagery in chronic upper limb hemiplegics: Evidence for activity-independent action representations. JCogn Neurosci 2002, 6:841-852.
47. Malouin F., Richards C.L., Durand A., Doyon J. Clinical assessment of motor imagery after stroke. Neurorehabil Neural Repair 2008, 4:330-340.
48. Sirigu A., Duhamel J.R., Cohen L., Pillon B., Dubois B., Agid Y. The mental representation of hand movements after parietal cortex damage. Science 1996, 273:1564-1568.
49. Ang K.K., Guan C., Chua K.S., et al. Aclinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation. Conf Proc IEEE Eng Med Biol Soc 2009, 2009:5981-5984.
50. Ang K.K., Guan C., Chua K.S., et al. Alarge clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface. Clin EEG Neurosci 2011, 4:253-258.
51. Daly J.J., Fang Y., Perepezko E.M., Siemionow V., Yue G.H. Prolonged cognitive planning time, elevated cognitive effort, and relationship to coordination and motor control following stroke. IEEE Trans Neural Syst Rehabil Eng 2006, 2:168-171.
52. Pfurtscheller G., Neuper C. Future prospects of ERD/ERS in the context of brain-computer interface (BCI) developments. Prog Brain Res 2006, 159:433-437.
53. McFarland D.J., Miner L.A., Vaughan T.M., Wolpaw J.R. Mu and beta rhythm topographies during motor imagery and actual movements. Brain Topogr 2000, 3:177-186.
54. Stavrinou M.L., Moraru L., Cimponeriu L., Della Penna S., Bezerianos A. Evaluation of cortical connectivity during real and imagined rhythmic finger tapping. Brain Topogr 2006, 19:137-145.
55. Friehs G.M., Zerris V.A., Ojakangas C.L., Fellows M.R., Donoghue J.P. Brain-machine and brain-computer interfaces. Stroke 2004, 11(suppl 1):2702-2705.
56. Dickstein R., Deutsch J.E. Motor imagery in physical therapist practice. Phys Ther 2007, 7:942-953.
57. Malouin F., Richards C.L. Mental practice for relearning locomotor skills. Phys Ther 2010, 2:240-251.
58. Presacco A., Forrester L., Contreras-Vidal J.L. Towards a non-invasive brain-machine interface system to restore gait function in humans. Conf Proc IEEE Eng Med Biol Soc 2011, 2011:4588-4591.
59. Platz T., Kim I.H., Pintschovius H., et al. Multimodal EEG analysis in man suggests impairment-specific changes in movement-related electric brain activity after stroke. Brain 2000, 123:2475-2490.
60. Matsumoto J., Fujiwara T., Takahashi O., Liu M., Kimura A., Ushiba J. Modulation of mu rhythm desynchronization during motor imagery by transcranial direct current stimulation. JNeuroeng Rehabil 2010, 7:27.
61. Tohyama T., Fujiwara T., Matsumoto J., et al. Modulation of event-related desynchronization during motor imagery with transcranial direct current stimulation in a patient with severe hemiparetic stroke: A case report. Keio J Med 2011, 4:114-118.
62. Kasashima Y., Fujiwara T., Matsushika Y., et al. Modulation of event-related desynchronization during motor imagery with transcranial direct current stimulation (tDCS) in patients with chronic hemiparetic stroke. Exp Brain Res 2012, 3:263-268.
63. Ang K.K., Guan C., Phua K.S., et al. Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitation. Conf Proc IEEE Eng Med Biol Soc 2012, 2012:4128-4131.
64. Platz T., Kim I.H., Engel U., Kieselbach A., Mauritz K.H. Brain activation pattern as assessed with multi-modal EEG analysis predict motor recovery among stroke patients with mild arm paresis who receive the Arm Ability Training. Restor Neurol Neurosci 2002, 20:21-35.