정상 여성에게서 앞 정강근의 수축훈련방법에 따른 뇌파의 변화

Changes of Electroencephalogram according to Contraction Training Methods of Tibialis Anterior Muscle in Healthy Women

  • 이정우 (광주여자대학교 물리치료학과) ;
  • 김문정 (광주여자대학교 물리치료학과) ;
  • 윤세원 (광주여자대학교 물리치료학과)
  • Lee, Jeong-Woo (Department of Physical Therapy, Kwangju Women's University) ;
  • Kim, Moon-Jeong (Department of Physical Therapy, Kwangju Women's University) ;
  • Yoon, Se-Won (Department of Physical Therapy, Kwangju Women's University)
  • 투고 : 2012.03.16
  • 심사 : 2012.04.13
  • 발행 : 2012.04.25

초록

Purpose: This study aims to examine the power changes in eletrocenphalogram (EEG) detected from the tibialis anterior muscle, during repetitive contraction exercise in normal female adults. Methods: The subjects of this study were 24 normal adult females, with no musculoskeletal or nervous system disorders. The 24 female subjects were divided into two groups: 12 subjects comprised a voluntary stimulation training group, and the other 12 subjects comprised an electrical stimulation training group. A total of thirty contractions were made repetitively by each woman, with maximal voluntary contraction exercise for six seconds, and a resting time of three seconds. During the experiment, their EEG was measured at eight positions. The eight positions were Fpz, Fz, Cz, CPz, C3, C4, P3, and P4, in accordance with the international 10~20 system. Results: The relative alpha power and beta power showed no statistically significant differences between the two groups. But the relative gamma power of the CPz, C3, C4, P3, and P4 areas showed statistically significant differences between the two groups (p<0.05). The relative theta power of the C4 area showed statistically significant differences between the two groups (p<0.05). Conclusion: Our findings show that tibialis anterior muscle contraction by electrical stimulation and by voluntary repeated contraction differentially affected brain activation. In particular, the CPz, C3, C4, P3 positions of relative gamma power showed brain activation in voluntary contraction. The C4 position of relative theta power showed different brain activation between the two groups.

키워드

참고문헌

  1. Boros K, Poreisz C, Munchau A et al. Premotor transcranial direct current stimulation (TDCS) affects primary motor excitability in humans. Eur J Neurosci. 2008;27(5):1292-300. https://doi.org/10.1111/j.1460-9568.2008.06090.x
  2. Hummel FC, Cohen LG. Non-invasive brain stimulation: a new strategy to improve neurorehabilitation after stroke?. Lancet Neurol. 2006;5(8):708-12. https://doi.org/10.1016/S1474-4422(06)70525-7
  3. Johannsen L, Broetz D, Karnath HO. Leg orientation as a clinical sign for pusher syndrome. BMC Neurol. 2006;6:30. https://doi.org/10.1186/1471-2377-6-30
  4. Patterson KK, Parafianowicz I, Danells CJ et al. Gait asymmetry in community-ambulating stroke survivors. Arch Phys Med Rehabil. 2008;89(2):304-10. https://doi.org/10.1016/j.apmr.2007.08.142
  5. Beck RJ, Andriacchi TP, Kuo KN et al. Changes in the gait patterns of growing children. J Bone Joint Surg Am. 1981;63(9):1452-7.
  6. Bae SS. Gait training strategy by CPG in PNF with brain injured patients. The Journal Korean Society of Physical Therapy. 2005;17(1):108-22.
  7. Kim EJ, Jung JM, Kim TH et al. The effects of plantar foot pressure and muscular activity on treadmill gait training in stroke patients. The Journal Korean Society of Physical Medicine. 2009;4(3):165-74.
  8. Seo DK, Oh DW, Lee SH. Effectiveness of ankle visuoperceptual-feedback training on balace and gait functions in hemiparetic patients. The Journal Korean Society of Physical Therapy. 2010;22(4):35-41.
  9. Menz HB, Morris ME, Lord SR. Foot and ankle characteristics associated with impaired balance and functional ability in older people. J Gerontol A Biol Sci Med Sci. 2005;60(12):1546-52. https://doi.org/10.1093/gerona/60.12.1546
  10. Komi PV, Bosco C. Utilization of stored elastic energy in leg extensor muscles by men and women. Med Sci Sports. 1978;10(4):261-5.
  11. Taylor JL, Gandevia SC. Transcranial magnetic stimulation and human muscle fatigue. Muscle Nerve. 2001;24(1):18-29. https://doi.org/10.1002/1097-4598(200101)24:1<18::AID-MUS2>3.0.CO;2-D
  12. Enoka RM. Eccentric contractions require unique activation strategies by the nervous system. J Appl Physiol. 1996;81(6):2339-46.
  13. Fang Y, Siemionow V, Sahgal V et al. Greater movement-related cortical potential during human eccentric versus concentric muscle contractions. J Neurophysiol. 2001;86(4):1764-72.
  14. Tesch PA, Dudley GA, Duvoisin MR et al. Force and emg signal patterns during repeated bouts of concentric or eccentric muscle actions. Acta Physiol Scand. 1990;138(3):263-71. https://doi.org/10.1111/j.1748-1716.1990.tb08846.x
  15. Kim CS, Kim JH, Park MK et al. Comparison of cortical activation between concentric and eccentric exercise: a pilot fMRI study. The Journal Korean society of Physical Therapy. 2010;22(2):25-30.
  16. Yang GA, Kim SH, Lim YE et al. Comparison of the activity of cortical neurons according to muscle contraction type between post stroke hemiplegic subjects and healthy subjects. The Journal Korean Society of Physical Therapy. 2009;21(1):73-80.
  17. Woo JC, Whang MC, Kim JW et al. The research on prediction of attentive hand movement using eeg coherence. Journal of the Ergonomics Society of Korea. 2010;29(2):189-96. https://doi.org/10.5143/JESK.2010.29.2.189
  18. Ruchkin D. Eeg coherence. Int J Psychophysiol. 2005;57(2):83-5. https://doi.org/10.1016/j.ijpsycho.2005.04.001
  19. Kim YJ, Whang MC, Woo JC. A research on training effect of EEG according to repetitive movement of a hand. Journal of the Ergonomics Society of Korea. 2008;11(3):357-64.
  20. Jasper HH. The ten-twenty electrode system of the international federation. Electroencephalogr Clin Neurophysiol Suppl. 1958;10(2):371-5.
  21. Song JC. Changes of electroencephalogram (EEG) in action observation of ski simulation. Nambu University. Dissertation of Master's Degree. 2011.
  22. Ko DS. EEG changes of kumdo player's following the image training. Yonsei University. Dissertation of Master's degree. 2001.
  23. Jung JH. The effects of neurofeedback training and computer assisted congitive rehabilitation training on brain wave, cognition, and ADL in poststroke. Sahmyook University. Dissertation of Doctorate degree. 2011.
  24. Schoffelen JM, Oostenveld R, Fries P. Neuronal coherence as a mechanism of effective corticospinal interaction. Science. 2005;308(5718):111-3. https://doi.org/10.1126/science.1107027
  25. Omlor W, Patino L, Hepp-Reymond MC et al. Gamma-range corticomuscular coherence during dynamic force output. Neuroimage. 2007;34(3):1191-8. https://doi.org/10.1016/j.neuroimage.2006.10.018
  26. Brown P, Salenius S, Rothwell JC et al. Cortical correlate of the piper rhythm in humans. J Neurophysiol. 1998;80:2911-7.
  27. Kwon MH. A study on EEG variation and aroma therapy by academic stress of middle school student. Kyungpook National University. Dissertation of Master's degree. 2011.
  28. Jang YH. Analysis of electroencephalographic changes by skill level of tai chi. Changwon National University. Dissertation of Master's Degree. 2010.