Biofeedback in psychomotor training. Two month course results
https://doi.org/10.20538/1682-0363-2010-2-92-100
Abstract
With the aim to compare the impact of usual training and training with the use of biofeedback, the psychometric and electrophysiological features of 36 musical students were investigated. Two month biofeedback training caused increase in self actualization, improving the musical performance score, decrease state and trait anxiety, increase of the individual adjusted alpha-2 indices, but theta-, alpha-1 and beta- activities did not change. Optimal psychomotor reaction for usual self practice (enhancement in alphaactivity and decrease in muscle tension) was achieved during biofeedback training. Training efficiency depended on the baseline electropsysiological features of optimal functioning: peak frequency, band width, power and coherence in individual alpha range, reaction activation. It was concluded that upper alpha stimulating and EMG decreasing biofeedback training leads to development of optimal psychomotor behavioral strategy.
About the Authors
Ye. M. Mernaya
Новосибирский музыкальный колледж
Russian Federation
Russian Federation
A. V. Kondratenko
Македонская академия музыки
Macedonia, the former Yugoslav Republic of
Macedonia, the former Yugoslav Republic of
O. Kondratenko
Македонская академия музыки
Macedonia, the former Yugoslav Republic of
Macedonia, the former Yugoslav Republic of
O. M. Bazanova
НИИ молекулярной биологии и биофизики СО РАМН
Russian Federation
Russian Federation
References
1. Базанова О.М., Афтанас Л.И. Успешность обучения и индивидуальные частотно-динамические характеристики альфа-активности ЭЭГ // Вестн. РАМН. 2006. № 6. Р. 30—33.
2. Базанова О.М., Мерная Е.М., Штарк М.Б. Биоуправление в психомоторном обучении: электрофизиологическое обоснование // Рос. физиол. журн. им. И.М. Сеченова. 2008. № 94 (5). С. 539—556.
3. Базанова О.М., Штарк М.Б. Нейробиоуправление в оптимизации функционирования музыкантов исполнителей // Бюл. СО РАМН. 2004. 113. Р. 114—123.
4. Гутерман В.А. Возвращение к творческой жизни. Екатеринбург, 1994. 89 с.
5. Ханин Ю.Л. Краткое руководство к шкале реактивной и личностной тревожности Ч.Д. Спилбергера. Л.: ЛНИИФК, 1976. 18 с.
6. Angelakis E., Lubar J.F. Quantitative electroencephalography amplitude measures in young adults during reading tasks and rest // J. of Neurotherapy. 2002. № 6. Р. 2—16.
7. Balconi M., Brambilla E., Falbo L. BIS/BAS, cortical oscillations and coherence in response to emotional cues // Brain. Res. Bull. 2009. Sep. 28. № 80 (3). Р. 151—157.
8. Clark R.C., Veltmeyer D. et al. Spontaneous alpha peak frequency predicts working memory performance across the age span // Int. J. Psychophysiology. 2004. № 53. Р. 1—9.
9. Egner T., Gruzelier J.H. Ecological validity of neurofeedback: Modulation of slow wave EEG enhances musical performance. Neuroreport. 2003. № 14 (9). Р. 1221—1224.
10. Hale M. Psychological Skills for Enhancing Performance: Arousal Regulation Strategies // Medicine and Science in Sports and Exercise. 1994. № 26 (4). Р. 478—485.
11. Kaiser D.A. Rethinking Standard Bands // J. Neurotherapy. 2001. № 5 (1/2). Р. 96—101.
12. Kerick S.E., Douglass L.W. at al. Cerebral cortical adaptations associated with visuomotor practice // Med. Sci. Sports Exerc. 2004. № 36 (1). Р. 118—129.
13. Kirschfeld K. The physical basis of alpha waves in the electroencephalogram and the origin of the «Berger effect» // Biol. Cybern. 2005. № 92 (3). Р. 177—185.
14. Klimesch, W. EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis // Brain. Research. Rev. 1999. № 29. Р. 169—195.
15. Kristeva R., Chakarov V., Losch F. et al. Electroencephalographic spectral power in writer's cramp patients: evidence for motor cortex malfunctioning during the cramp // Neuroimage. 2005. Sep. № 27 (3). Р. 706—714.
16. Lotze G. M., Schelera H. et al. The musician's brain: functional imaging of amateurs and professionals during performance and imagery // Neuroimage. 2003. № 20 (3). Р. 1817—1829.
17. Merletti R. Standards for Reporting EMG data // J. of Electromyogr. and Kinesiol. 1999. № 9 (1). III—IV.
18. Pfurtscheller G., Klimesch W. Event-related desynchronization during motor behavior and visuual information processing // C.H.M. Brunia, G. Mulder and M. Verbaten (Eds.) Event-related brain research, electroencephalography and clinical neurophysiology. Amsterdam: Elsevier, 1991. P. 58—65.
19. Pop-Jordanova N., Bazanova O. at all. Simultaneous EEG and EMG Biofeedback for Peak Performance in Musicians. Society of Applied Neuroscience. Inaugural Conference. 2006. 14—18 Sept. Swansea.
20. Rheinberg F., Vollmeyer R. at al. Die Erfassung des FlowErlebens. In: Stiensmeier-Pelster J., Rheinberg F. (Eds.). Diagnostik von Motivation und Selbstkonzept (Tests und Trends N.F. Bd. 2). Göttingen: Hogrefe, 2003. Р. 261— 279.
21. Santarpia A., Blanchet A., Mininni G. et al. The «weight» of words on the forearms during relaxation // Appl. Psychophysiol. Biofeedback. 2009. Jun. № 34 (2). Р. 105— 111.
22. Schwartz M.S., Andrasik F. Biofeedback: A Practioner's Guide. 3-nd ed. New York: Guilford Press, 2003. 310 p.
23. Sterman M.B. Physiological origins and functional correlates of EEG rhythmic activities: implications for self-regulation. Biofeedback and Self Regul. 1996. № 21 (1). Р. 3—33.
24. Zinn M.L., Zinn M.A. Psychophysiology for Performing Artists // M.S. Schwartz, F. Andrasik (Eds.) Biofeedback: A Practitioners Guide. 3-rd ed. New York: Guilford Press, 2003. 310 p.
Review
For citations:
Mernaya Ye.M., Kondratenko A.V., Kondratenko O., Bazanova O.M. Biofeedback in psychomotor training. Two month course results. Bulletin of Siberian Medicine. 2010;9(2):92-100. (In Russ.) https://doi.org/10.20538/1682-0363-2010-2-92-100
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