An EEG-based Brain Mapping to Determine Mirror Neuron System in Patients with Chronic Stroke during Action Observation

  • Kuk, Eun-Ju (Department of Physical Therapy, Division of Health, Seonam University) ;
  • Kim, Jong-man (Department of Occupational Therapy, Division of Health, Jeonju University)
  • Received : 2015.05.26
  • Accepted : 2015.06.18
  • Published : 2015.06.25


Purpose: The aim of this study was to compare EEG topographical maps in patients with chronic stroke after action observation physical training. Methods: Ten subjects were recruited from a medical hospital. Participants observed the action of transferring a small block from one box to another for 6 sessions of 1 minute each, and then performed the observed action for 3 minutes, 6 times. An EEG-based brain mapping system with 32 scalp sites was used to determine cortical reorganization in the regions of interest (ROIs) during observation of movement. The EEG-based brain mapping was comparison in within-group before and after training. ROIs included the primary sensorimotor cortex, premotor cortex, superior parietal lobule, inferior parietal lobule, superior temporal lobe, and visual cortex. EEG data were analyzed with an average log ratio in order to control the variability of the absolute mu power. The mu power log ratio was in within-group comparison with paired t-tests. Results: Participants showed activation prior to the intervention in all of the cerebral cortex, whereas the inferior frontal gyrus, superior frontal gyrus, precentral gyrus, and inferior parietal cortex were selectively activated after the training. There were no differences in mu power between each session. Conclusion: These findings suggest that action observation physical training contributes to attaining brain reorganization and improving brain functionality, as part of rehabilitation and intervention programs.


  1. Gjelsvik BEB. The bobath concept in adult neurology, Reinheim-Zeilhand, Germany, 2008.
  2. Yang SH, Lee YH, Lee KS. The effects of modified constraint-induced movement therapy and bilateral arm training on the upper extremity performance of individuals with chronic hemiparetic stroke. J Kor Phy Ther. 2011;23(5):65-72.
  3. Lee DS, Lee KH, Kang TW, et al. Effect of early robot-assisted training using virtually reality program in patient with stroke. J Kor Phy Ther. 2013;25(4):195-203.
  4. Kim WN, Lee KY. Effects of dance sports in virtual reality on balance, depression and ADL in stroke patients. J Kor Phy Ther. 2013;25(5):360-5.
  5. Byun DU, Shin WS. Effects of transcutaneous electrical nerve stimulation depending on frequency. J Kor Phy Ther. 2013;25(3):136-42.
  6. Kim BY, Choi WH. The effects of interferential current therapy on spasticity, range of motion, and balance ability in stroke patient. J Kor Phy Ther. 2013;25(4):187-94.
  7. Taub E, Uswatte G, Morris DM. Improved motor recovery after stroke and massive cortical reorganization following constraint-induced movement therapy. Phys Med Rehabil Clin N Am. 2003;14(1):77-91.
  8. Pomeroy V, Aglioti SM, Mark VW, et al. Neurological principles and rehabilitation of action disorders: rehabilitation interventions. Neurorehabil Neural Repair. 2011;25(5):33-43.
  9. Frey SH, Fogassi L, Grafton S, et al. Neurological principles and rehabilitation of action disorders: computation, anatomy, and physiology (CAP) model. Neurorehabil Neural Repair. 2011;25(5):6-20.
  10. Iacoboni M, Molnar-Szakacs I, Gallese V, et al. Grasping the intentions of others with one's own mirror neuron system, PLoS Biol. 2005;3(3):79.
  11. Koles ZJ. Trends in EEG source localization. Electroencephalogr Clin Neurophysiol. 1998;106:127-37.
  12. Mosher JC, Leahy RM, Lewis PS. EEG and MEG: forward solutions for inverse solutions. IEEE Trans Biomed Eng. 1999;46:245-59.
  13. Im CH, Hwang HJ, Che H, et al. An EEG-based real-time cortical rhythmic activity monitoring system, Physiol Meas. 2007;28:1101-13.
  14. Krams M, Rushworth MFS, Deiber MP, et al. The preparation, execution, and suppression of copied movements in the human brain. Exp Brain Res. 1998;120:386-98.
  15. Carr JH, Shepherd RB. Neurological rehabilitation: optimizing motor performance, 2nd ed, Edinburgh, New York, 2010.
  16. Buccino G, Solodkin A, Small SL. Functions of the mirror neuron system: implications for neurorehabilitation. Cog Behav Neurol. 2006; 19:55-63.
  17. Iacoboni M, Woods RP, Brass M, et al. Cortical mechanisms of human imitation. Science. 1999;286:2526-8.
  18. Koessler L, Maillard L, Benhadid A et al. Automated cortical projection of EEG sensors: anatomical correlation via the international 10-10 system. NeuroImage. 2009;46(1):64-72.
  19. Park JW, Kim JM, Seo JH, et al. Reorganization of motor network and the effect of cross education derived from unilateral coordination training. Phys Ther Korea. 2002;9(3):67-76.
  20. Chong TT, Cunnington R, Williams MA, et al. fMRI adaptation reveals mirror neurons in human inferior parietal cortex. Current Biology. 2008;18:1576-80.