JACIII Vol.20 p.462 (2016) | Fuji Technology Press: academic journal publisher

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JACIII Vol.20 No.3 pp. 462-466
doi: 10.20965/jaciii.2016.p0462
(2016)

Short Paper:

MEP Analysis of Hand Motor Imagery with Bimanual Coordination Under Transcranial Magnetic Stimulation

Kun Wang, Zhongpeng Wang, Peng Zhou, Hongzhi Qi, Feng He, Shuang Liu, and Dong Ming

Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University
Tianjin, China

Corresponding authors

Received:
December 25, 2015
Accepted:
March 17, 2016
Published:
May 19, 2016
Keywords:
motor imagery, motor-evoked potential~(MEP), transcranial magnetic stimulation (TMS), stroke
Abstract
Stroke is one of the leading causes worldwide of motor disability in adults. Motor imagery is a rehabilitation technique for potentially treating the results of stroke. Based on bimanual movement coordination, we designed hand motor imagery experiments. Transcranial magnetic stimulation (TMS) was applied to the left motor cortex to produce motorevoked potentials (MEP) in the first dorsal interosseous (FDI) of the right hand. Ten subjects were required to perform three different motor imagery tasks involving the twisting of a bottle cap. The results showed that contralateral hand imagery evoked the largest MEP, meaning that the brain's motor area was activated the most. This work may prove to be significant as a reference in designing motor imagery therapy protocols for stroke patients.
Cite this article as:
K. Wang, Z. Wang, P. Zhou, H. Qi, F. He, S. Liu, and D. Ming, “MEP Analysis of Hand Motor Imagery with Bimanual Coordination Under Transcranial Magnetic Stimulation,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.3, pp. 462-466, 2016.
Data files:
References
  1. [1] N. Sharma, V. M. Pomeroy, and J. C. Baron, “Motor imagery a backdoor to the motor system after stroke?,” Stroke, Vol.37, pp. 1941-1952, Apr. 2006.
  2. [2] P. Langhorne, F. Coupar, and A. Pollock, “Motor recovery after stroke: a systematic review,” The Lancet Neurology, Vol.8, pp. 741-754, Aug. 2009.
  3. [3] J. Liepert, H. Bauder, W. H. Miltner, E. Taub, and C. Weiller, “Treatment-induced cortical reorganization after stroke in humans,” Stroke, Vol.31 pp. 1210-1216, Mar. 2000.
  4. [4] H. C. Dijkerman, M. Ietswaart, and M. Johnston, “Does motor imagery training improve hand function in chronic stroke patients? A pilot study,” Clinical rehabilitation, Vol.18, pp. 538-549, May. 2004.
  5. [5] M. Ietswaart, M. Johnston, H. C. Dijkerman, S. Joice, C. L. Scott, R. S. MacWalter, and S. J. Hamilton, “Mental practice with motor imagery in stroke recovery: randomized controlled trial of efficacy,” Brain, awr077, Apr. 2011.
  6. [6] R. Dickstein, S. Levy, S. Shefi, S. Holtzman, S. Peleg, and J. J. Vatine, “Motor imagery group practice for gait rehabilitation in individuals with post-stroke hemiparesis: A pilot study,” NeuroRehabilitation, Vol.34, pp. 267-276, Jan. 2014.
  7. [7] J. Munzert, B. Lorey, and K. Zentgraf, “Cognitive motor processes: the role of motor imagery in the study of motor representations,” Brain research reviews, Vol.60, pp. 306-326, May. 2009.
  8. [8] M. Hallett, “Transcranial magnetic stimulation and the human brain,” Nature, Vol.406, pp. 147-150, July. 2000.
  9. [9] H. R. Siebner, N. Lang, V. Rizzo, M. A. Nitsche, W. Paulus, R. N. Lemon, and J. C. Rothwell, “Preconditioning of low-frequency repetitive transcranial magnetic stimulation with transcranial direct current stimulation: evidence for homeostatic plasticity in the human motor cortex,” The J. of Neuroscience, Vol.24, pp. 3379-3385, Feb. 2004.
  10. [10] P. Sacco, M. Prior, H. Poole, and T. Nurmikko, “Repetitive transcranial magnetic stimulation over primary motor vs non-motor cortical targets; effects on experimental hyperalgesia in healthy subjects,” BMC neurology, Vol.14, No.166, Sep. 2014.
  11. [11] D. G. Nair, K. L. Purcott, A. Fuchs, F. Steinberg, and J. S. Kelso, “Cortical and cerebellar activity of the human brain during imagined and executed unimanual and bimanual action sequences: a functional MRI study,” Cognitive brain research, Vol.15, pp. 250-260, Feb. 2003.
  12. [12] O. Levin, M. Steyvers, N. Wenderoth, Y. Li, and S. P. Swinnen, “Dynamical changes in corticospinal excitability during imagery of unimanual and bimanual wrist movements in humans: a transcranial magnetic stimulation study,” Neuroscience letters, Vol.359, pp. 185-189, Apr. 2004.
  13. [13] G. Pfurtscheller, C. Brunner, A. Schlögl, and F. L. DaSilva, “Mu rhythm (de) synchronization and EEG single-trial classification of different motor imagery tasks,” Neuroimage, Vol.31, pp. 153-159, May. 2006.
  14. [14] L. Min, M. Guang, J. Cheng, “Analysis of surface EMG signal based on empirical mode decomposition. In Rehabilitation Robotics,” presented at the IEEE 11th Int. Conf. on Rehabilitation Robotics, Kyoto, Japan, June 23-26, 2009, pp. 230-233, 2009.

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