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Neuromuscular electrical stimulation induced brain patterns to decode motor imageryinfo

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keyboard_arrow_downkeyboard_arrow_upRanu JungRanu JungRanu JungRanu JungRanu Jung

2013, Clinical Neurophysiology

https://doi.org/10.1016/J.CLINPH.2013.03.009downloadDownload PDFdescriptionSee full PDFvisibility

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Abstract

Regardless of the paradigm used to implement a brain-computer interface (BCI), all systems suffer from BCI-inefficiency. In the case of patients the inefficiency can be high. Some solutions have been proposed to overcome this problem, however they have not been completely successful yet. EEG from 10 healthy users was recorded during neuromuscular electrical stimulation (NMES) of hands and feet and during motor imagery (MI) of the same limbs. Features and classifiers were computed using part of these data to decode MI. Offline analyses showed that it was possible to decode MI using a classifier based on afferent patterns induced by NMES and even infer a better model than with MI data. Afferent NMES motor patterns can support the calibration of BCI systems and be used to decode MI. This finding might be a new way to train sensorimotor rhythm (SMR) based BCI systems for healthy users having difficulties to attain BCI control. It might also be an alternative to train MI-based BCIs for users who cannot perform real movements but have remaining afferents (ALS, stroke patients).

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EngineeringBrain Computer InterfaceBrain Computer InteractionBrain Computer InterfacesBrain Computer InterfacingClinical NeurophysiologycloseTitleAbstractIntroductionMaterials and MethodsResultsDiscussionReferencesCited by1 of 22format_list_bulletedOutlineAll TopicsComputer ScienceHuman-Computer Interactionbookmark_borderSave shareShare

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References (37)

  • Agarwal S, Triolo RJ, Kobetic R, Miller M, Bieri C, Kukke S, Rohde L, Davis JA Jr. Long-term user perceptions of an implanted neuroprosthesis for exercise, standing, and transfers after spinal cord injury. J Rehabil Res Dev 2003;40:241-52. [PubMed: 14582528]
  • Al-Majed AA, Neumann CM, Brushart TM, Gordon T. Brief electrical stimulation promotes the speed and accuracy of motor axonal regeneration. J Neurosci 2000;20:2602-8. [PubMed: 10729340]
  • Al-Majed AA, Tam SL, Gordon T. Electrical stimulation accelerates and enhances expression of regeneration-associated genes in regenerating rat femoral motoneurons. Cell Mol Neurobiol 2004;24:379-402. [PubMed: 15206821]
  • Anderson KD. Targeting recovery: priorities of the spinal cord-injured population. J Neurotrauma 2004;21:1371-83. [PubMed: 15672628]
  • Bajd T, Andrews BJ, Kralj A, Katakis J. Restoration of walking in patients with incomplete spinal cord injuries by use of surface electrical stimulation--preliminary results. Prosthet Orthot Int 1985;9:109- 11. [PubMed: 4047919]
  • Barbeau H, McCrea DA, O'Donovan MJ, Rossignol S, Grill WM, Lemay MA. Tapping into spinal circuits to restore motor function. Brain Res Brain Res Rev 1999;30:27-51. [PubMed: 10407124]
  • Beekhuizen KS, Field-Fote EC. Massed practice versus massed practice with stimulation: effects on upper extremity function and cortical plasticity in individuals with incomplete cervical spinal cord injury. Neurorehabil Neural Repair 2005;19:33-45. [PubMed: 15673842]
  • Carmichael ST. Rodent models of focal stroke: size, mechanism, and purpose. NeuroRx 2005;2:396- 409. [PubMed: 16389304]
  • Castiello U. The neuroscience of grasping. Nat Rev Neurosci 2005;6:726-36. [PubMed: 16100518]
  • Center NSCIS. Birmingham: The University of Alabama; Jun. 2006 Spinal Cord Injury: Facts and Figures at a Glance. H133Aol112. 2003
  • Daly JJ, Marsolais EB, Mendell LM, Rymer WZ, Stefanovska A, Wolpaw JR, Kantor C. Therapeutic neural effects of electrical stimulation. IEEE Trans Rehabil Eng 1996;4:218-30. [PubMed: 8973948]
  • Field-Fote EC. Combined use of body weight support, functional electric stimulation, and treadmill training to improve walking ability in individuals with chronic incomplete spinal cord injury. Arch Phys Med Rehabil 2001;82:818-824. [PubMed: 11387589]
  • Gensel JC, Tovar CA, Hamers FP, Deibert RJ, Beattie MS, Bresnahan JC. Behavioral and histological characterization of unilateral cervical spinal cord contusion injury in rats. J Neurotrauma 2006;23:36- 54. [PubMed: 16430371]
  • Greene, EC. The anatomy of the rat (Reprint). Braintree Scientific, Inc.; Braintree: 1955.
  • Hendricks HT, MJ IJ, de Kroon JR, in 't Groen FA, Zilvold G. Functional electrical stimulation by means of the 'Ness Handmaster Orthosis' in chronic stroke patients: an exploratory study. Clin Rehabil 2001;15:217-20. [PubMed: 11330767]
  • Hyland BI, Jordan VM. Muscle activity during forelimb reaching movements in rats. Behav Brain Res 1997;85:175-86. [PubMed: 9105574]
  • Ichihara, K.; Venkatasubramanian, G.; LaBelle, A.; Ashton, E.; Abbas, JJ.; Jung, R. Muscle stimulation in a rodent model: electrode design, implantation and assessment. Proceedings of the 9th Annual Conference of the International Functional Electrical Stimulation Society (IFESS); 2004. p. 404-406.
  • Jung, R.; Belanger, A.; Kanchiku, T.; Lynskey, J.; Mukherjee, M.; Hagner, D.; Abbas, JJ. Hindlimb Neuromuscular Stimulation Therapy after Thoracic Contusion Injury Promotes Locomotor Recovery. 11th Annual Conference of the International Functional Electrical Stimulation Society; 2006. p. 118-120.
  • Keith MW. Neuroprostheses for the upper extremity. Microsurgery 2001;21:256-63. [PubMed: 11746557]
  • Kobetic R, Triolo RJ, Uhlir JP, Bieri C, Wibowo M, Polando G, Marsolais EB, Davis JA Jr, Ferguson KA. Implanted functional electrical stimulation system for mobility in paraplegia: a follow-up case report. IEEE Trans Rehabil Eng 1999;7:390-8. [PubMed: 10609626]
  • Lynskey JV, Sandhu FA, Dai HN, McAtee M, Slotkin JR, MacArthur L, Bregman BS. Delayed intervention with transplants and neurotrophic factors supports recovery of forelimb function after cervical spinal cord injury in adult rats. J Neurotrauma 2006;23:617-34. [PubMed: 16689666]
  • Morales DM, Marklund N, Lebold D, Thompson HJ, Pitkanen A, Maxwell WL, Longhi L, Laurer H, Maegele M, Neugebauer E, Graham DI, Stocchetti N, McIntosh TK. Experimental models of traumatic brain injury: do we really need to build a better mousetrap? Neuroscience 2005;136:971- 89. [PubMed: 16242846]
  • Peckham, PH.; Keith, MW. Motor Prostheses for Restoration of Upper Extremity Function. Oxford Univ Pr; New York: 1992. p. 162-90.
  • Peckham PH, Keith MW, Kilgore KL, Grill JH, Wuolle KS, Thrope GB, Gorman P, Hobby J, Mulcahey MJ, Carroll S, Hentz VR, Wiegner A. Efficacy of an implanted neuroprosthesis for restoring hand grasp in tetraplegia: a multicenter study. Arch Phys Med Rehabil 2001;82:1380-8. [PubMed: 11588741]
  • Popovic MR, Thrasher TA, Adams ME, Takes V, Zivanovic V, Tonack MI. Functional electrical therapy: retraining grasping in spinal cord injury. Spinal Cord 2006;44:143-51. [PubMed: 16130018]
  • Ring H, Rosenthal N. Controlled study of neuroprosthetic functional electrical stimulation in sub-acute post-stroke rehabilitation. J Rehabil Med 2005;37:32-6. [PubMed: 15788330]
  • Rushton DN. Functional electrical stimulation and rehabilitation--an hypothesis. Med Eng Phys 2003;25:75-8. [PubMed: 12485788]
  • Sabes PN. The planning and control of reaching movements. Curr Opin Neurobiol 2000;10:740-6. [PubMed: 11240283]
  • Sharma M, Marsolais EB, Polando G, Triolo RJ, Davis JA Jr, Bhadra N, Uhlir JP. Implantation of a 16- channel functional electrical stimulation walking system. Clin Orthop Relat Res 1998:236-42. [PubMed: 9520896]
  • Snoek GJ, MJ IJ, in 't Groen FA, Stoffers TS, Zilvold G. Use of the NESS handmaster to restore handfunction in tetraplegia: clinical experiences in ten patients. Spinal Cord 2000;38:244-9. [PubMed: 10822395]
  • Stein RB, Belanger M, Wheeler G, Wieler M, Popovic DB, Prochazka A, Davis LA. Electrical systems for improving locomotion after incomplete spinal cord injury: an assessment. Arch Phys Med Rehabil 1993;74:954-9. [PubMed: 8379842]
  • Thota AK, Watson SC, Knapp E, Thompson B, Jung R. Neuromechanical control of locomotion in the rat. J Neurotrauma 2005;22:442-65. [PubMed: 15853462]
  • Venkatasubramanian G, Kanchiku T, Mukherjee M, Abbas JJ, Jung R. Functional neuromuscular stimulation after spinal cord injury: a rodent model. J Neurotrauma 2005;22:1241.
  • Whishaw IQ. An endpoint, descriptive, and kinematic comparison of skilled reaching in mice (Mus musculus) with rats (Rattus norvegicus). Behav Brain Res 1996;78:101-11. [PubMed: 8864042]
  • Whishaw IQ, Gorny B. Arpeggio and fractionated digit movements used in prehension by rats. Behav Brain Res 1994;60:15-24. [PubMed: 8185848]
  • Whishaw IQ, Gorny B, Sarna J. Paw and limb use in skilled and spontaneous reaching after pyramidal tract, red nucleus and combined lesions in the rat: behavioral and anatomical dissociations. Behav Brain Res 1998;93:167-83. [PubMed: 9659998]
  • Yarkony GM, Roth EJ, Cybulski G, Jaeger RJ. Neuromuscular stimulation in spinal cord injury: I: Restoration of functional movement of the extremities. Arch Phys Med Rehabil 1992;73:78-86. [PubMed: 1729980]
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    Cited by (2)

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