본문 바로가기
KERD
논문KCI 등재

테니스심상훈련이 뇌 활성에 미치는 영향: 테니스 무경험자에서 뇌파 전류원분포

Effects of Imagery Tennis Training on Cerebral Activity

1

조회

0

다운로드

1

인용

0

참고문헌

키워드

주제분류기타자연과학

초록

The previous studies showed that the visual imagery activated the occipital and posterior inferior temporal area of the brain, and the damage to the occipital cortex impaired the visual mental imagery. We studied current-source distribution of electroencephalography (EEG) to observe neuronal activity during imagery tennis playing. Eleven healthy volunteers were enrolled. All volunteers were right-handed males and novices for tennis playing. The mean age of them was 24.9 years. The EEGs were recorded on the scalp electrodes located according to the International 10∼20 System. The number of electrodes was 25 channels including subtemporal electrodes. The EEG recording session was 13 min including 5 segments: resting-I, scenery-slide show, resting-II, watching tennis-game video, and imagery-tennis playing. The recoding durations were 3, 2, 3, 2, and 3 min respectively. Five ‘artifact free 3-sec segments’ were selected in each segment of ‘imagery-tennis playing’ and ‘resting-II’. We did the frequency domain analysis with the EEG segments using a distributed model of current-source analysis. The statistical-nonparametric maps (SnPMs) were obtained between the segments of ‘imagery-tennis playing’ and the segments of ‘resting-II’ (p<0.01). The significant change of current-source density was observed only in alpha-2 frequency band (10∼12 Hz). The current-sourcedensity was increased in the hippocampus, parahippocampus, and occipital fusiform gyrus in the right cerebral hemisphere (p<0.01). Imaginary-tennis playing may activate the hippocampal-occipital alpha networks of nondominant hemisphere.

Abstract

The previous studies showed that the visual imagery activated the occipital and posterior inferior temporal area of the brain, and the damage to the occipital cortex impaired the visual mental imagery. We studied current-source distribution of electroencephalography (EEG) to observe neuronal activity during imagery tennis playing. Eleven healthy volunteers were enrolled. All volunteers were right-handed males and novices for tennis playing. The mean age of them was 24.9 years. The EEGs were recorded on the scalp electrodes located according to the International 10∼20 System. The number of electrodes was 25 channels including subtemporal electrodes. The EEG recording session was 13 min including 5 segments: resting-I, scenery-slide show, resting-II, watching tennis-game video, and imagery-tennis playing. The recoding durations were 3, 2, 3, 2, and 3 min respectively. Five ‘artifact free 3-sec segments’ were selected in each segment of ‘imagery-tennis playing’ and ‘resting-II’. We did the frequency domain analysis with the EEG segments using a distributed model of current-source analysis. The statistical-nonparametric maps (SnPMs) were obtained between the segments of ‘imagery-tennis playing’ and the segments of ‘resting-II’ (p<0.01). The significant change of current-source density was observed only in alpha-2 frequency band (10∼12 Hz). The current-sourcedensity was increased in the hippocampus, parahippocampus, and occipital fusiform gyrus in the right cerebral hemisphere (p<0.01). Imaginary-tennis playing may activate the hippocampal-occipital alpha networks of nondominant hemisphere.

참고문헌 (29)

  1. Aguirre GK, "The parahippocampus subserves topographical learning in man", Cereb Cortex, 6(6), pp.823~829 (1996)
  2. Aguirre GK, "An area within human ventral cortex sensitive to "building" stimuli: evidence and implications", Neuron, 21(2), pp.373~383 (1998)
  3. Atienza FL, "Video modeling and imaging training on performance of tennis service of 9- to 12-year-old children", Percept Mot Skills, 87(2), pp.519~529 (1998)
  4. Başar E, "The hippocampal EEG-activity and a systems analytical interpretation of averaged evoked potentials of the brain", Kybernetik, 12(1), pp.45~54 (1972)
  5. Behrmann M, "Intact visual imagery and impaired visual perception in a patient with visual agnosia", J Exp Psychol Hum Percept Perform, 20(5), pp.1068~1087 (1994)
  6. Chapman LJ, "The measurement of handedness", Brain Cogn, 6(2), pp.175~183 (1987)
  7. Cho HY, "Effects of motor imagery training on balance and gait abilities in post-stroke patients : a randomized controlled trial", Clin Rehabil, 27, pp.675~680 (2013)
  8. Farah MJ, "Electrophysiological evidence for a shared representational medium for visual images and visual percepts", J Exp Psychol Gen, 117(3), pp.248~257 (1988)
  9. Farah MJ, "Visual angle of the mind's eye before and after unilateral occipital lobectomy", J Exp Psychol Hum Percept Perform, 18(1), pp.241~246 (1992)
  10. Goldenberg G, "Regional cerebral blood flow patterns in visual imagery", Neuropsychologia, 27(5), pp.641~664 (1989)
  11. Ishai A, "Distributed representation of objects in the human ventral visual pathway", Proc Natl Acad Sci U S A, 96(16), pp.9379~9384 (1999)
  12. Jackson PL, "Potential role of mental practice using motor imagery in neurologic rehabilitation", Arch Phys Med Rehabil, 82(8), pp.1133~1141 (2001)
  13. Klimesch W, "Brain oscillations and human memory: EEG correlates in the upper alpha and theta band", Neurosci Lett, 238(1-2), pp.9~12 (1997)
  14. Klimesch W, "Pfurtscheller G, et al. Event-related desynchronization (ERD)and the Dm effect: does alpha desynchronization during encoding predict later recall performance?", Int J Psychophysiol, 24(1-2), pp.47~60 (1996)
  15. Klimesch W, "Episodic and semantic memory: an analysis in the EEG theta and alpha band", Electroencephalogr Clin Neurophysiol, 91(6), pp.428~441 (1994)
  16. Kosslyn SM AN, "Visual mental imagery activates topographically organized visual cortex: PET investigations", J. Cogn. Neurosci, 5, pp.263~287 (1993)
  17. Krings T, "Accuracy of EEG dipole source localization using implanted sources in the human brain", Clin Neurophysiol, 110(1), pp.106~114 (1999)
  18. Maguire EA, "Recalling routes around london: activation of the right hippocampus in taxi drivers", J Neurosci, 17(18), pp.7103~7110 (1997)
  19. Michel CM, "EEG source imaging", Clin Neurophysiol, 115(10), pp.2195~2222 (2004)
  20. 김미라, "간질파 국소화에서 시각적 분석과 LOW Resolution Electromagnetic Tomography (LORETA) 방법의비교 연구", 대한신경과학회지, 20(2), pp.164~168 (2002), 대한신경과학회
  21. Pascual-Marqui RD MC, "Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain", Int J Psychophysiol, 18, pp.49~65 (1994)
  22. Pascual-Marqui RD, "Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain", Int J Psychophysiol, 18, pp.49~65 (1994)
  23. Pfurtscheller G, "Event-related EEG", MEG synchronization and desynchronization: basic principles, 1999, pp.110(11), 1842~1857
  24. R Epstein, "A cortical representation of the local visual environment", Nature, 392(6676), pp.598~601 (1998)
  25. Schurmann M, "Electroencephalogram alpha (8-15 Hz) responses to visual stimuli in cat cortex, thalamus, and hippocampus: a distributed alpha network?", Neurosci Lett, 292(3), pp.175~178 (2000)
  26. Talairach J TP, "Co-planar stereotaxic atlas of the human brain" (1988), Thieme
  27. Tokumaru O MC, "EEG activity of aviators during imagery flight training", Clin Neurophysiol, 114(10), pp.1926~1935 (2003)
  28. Towle VL, "The spatial location of EEG electrodes: locating the best-fitting sphere relative to cortical anatomy", Electroencephalogr Clin Neurophysiol, 86, pp.1~6 (1993)
  29. W Klimesch, "Cognitive load and memory performance", Brain Topogr, 5(3), pp.241~251 (1993)

관련 논문AI추천

이 간행물의 다른 논문 (9건)