Abstract
To estimate the role of biofeedback technology in the optimization of psychomotor reactivity, 29 healthy young (aged 22.3 ± 1.5 years) musical performers were examined. On the first day of the study, they followed instructions for the voluntary control of finger motor comfort when performing musical passages for the right hand during standard performance practice without an adaptive feedback. On the second day, biofeedback was used, the muscle tone and EEG α-rhythm power being voluntarily controlled. Eventually, a biofeedback method was developed that simultaneously stimulated the activity of the EEG α rhythm and decreased the tone of the muscles not involved in the playing movement. This improved the performance in 75.8% of musicians (versus 13.8% using commonly practiced methods). The changes in the EEG parameters after effective biofeedback training were the same as in the case of successful traditional performance practice: an increase in the frequency, width, and power of the α activity and a decrease in the powers of the θ and β rhythms. The biofeedback method developed in this study can be recommended as an approach to the formation of the skills necessary for voluntarily controlling psychomotor reactivity and has prognostic implications for improving performance skills.
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References
Othmer, S., Othmer, S.F., and Kaiser D.A., EEG Biofeedback: An Emerging Model for Its Global Efficacy, in Introduction to Quantitative EEG and Neurofeedback, Evans, J.R. and Abarbanel, A., Eds., San Diego: Academic, 1999, p. 244.
Schwartz, M.S. and Andrasik, F., Biofeedback: A Practitioner’s Guide, New York: Guilford, 2003, 3rd edition, p. 310.
Talalai, B.I., The Problem of Controlling Muscle Tension, in Voprosy sovershenstvovaniya prepodavaniya na orkestrovykh instrumentakh: Uchebnoe posobie po kursu metodiki dlya muzykal’nykh uchebnykh zavedenii (Problems of the Improvement of Training of Performers Playing Orchestra Musical Instruments: A Musical Education Textbook on the Course of Training Methods), Moscow: Mosk. Gos. Inst. Kul’tury, 1978, p. 69.
Hale, M., EMG Biofeedback of the Abductor Pollicis Brevis in Piano Performance, Biofeedback Self Reg., 1993, vol. 18, no. 2, p. 67.
Vysochin, Yu.V., Denisenko, Yu.P., and Gordeev, Yu.V., Increase in Athletes’ Functional Capacities via Biological Feedback, Fiziol. Chel., 2005, vol. 31, no. 3, p. 93 [Hum. Physiol. (Engl. Transl.), 2005, vol. 31, no. 3, p. 324].
Powell, D.H., Treating Individuals with Debilitating Performance Anxiety: An Introduction, J. Clin. Psychol., 2004, vol. 60, no. 8, p. 801.
Egner, T. and Gruzelier, J.H., Ecological Validity of Neurofeedback: Modulation of Slow Wave EEG Enhances Musical Performance, Neuroreport, 2003, vol. 14, p. 1221.
Bernshtein, N.A., Ocherki po fiziologii dvizhenii i fiziologii aktivnosti (Notes on Movement Physiology and Activity Physiology), Moscow: Meditsina, 1966, p. 349.
Pantev, C., Engelien, A., Candia, V., and Elbert, T,. Representational Cortex in Musicians: Plastic Alterations in Response to Musical Practice, Ann. N.Y. Acad. Sci., 2001, vol. 930, p. 300.
Bazanova, O.M., The Possibility to Use Electroencephalographic Mapping for Diagnosing Musical Talent, in Bioupravlenie: Teoriya i praktika (Kollektivnaya monografiya Rossiya-SShA) (Biofeedback: Theory and Practice (A Russian-United States Collective Monograph)), Shtark, M.B. and Schwartz, M., Eds., 2002, issue 4, p. 311.
Hatfield, B.D., Haufler, A.J., Hung, T.M., and Spalding, T.W., Electroencephalographic Studies of Skilled Psychomotor Performance, J. Clin. Neurophysiol., 2004, vol. 21,issue 3, p. 144.
Baevskii, R.M., Prognozirovanie sostoyanii na grani normy i patologii (Prediction of States at the Borderline between Norm and Pathology), Moscow: Meditsina, 1979.
Kraus, E., Studying Music in the Federal Republic of Germany: Study Guide, Schott, 1982/1983, p. 123.
Dzhafarova, O.A. and Shtark, M.B., Computer-Aided Biofeedback Systems: Trends of Development, Med. Tekhnika, 2002, vol. 1, p. 34.
Angelakis, E., Lubar, J.F., and Stathopoulouc, S., Electroencephalographic Peak Alpha Frequency Correlates of Cognitive Traits, Neurosci. Lett., 2004, vol. 371, no. 16, p. 60.
Gusel’nikov, V.I. and Iznak, A.F., Ritmicheskaya aktivnost’v sensornykh sistemakh (Rhythmic Activity in Sensory Systems), Moscow: Mosk. Gos. Univ., 1983, p. 214.
Kaiser, D.A., Rethinking Standard Bands, J. Neurother., 2002, vol. 5, p. 87.
Klimesch, W., EEG Alpha and Theta Oscillations Reflect Cognitive and Memory Performance: A Review and Analysis, Brain Res. Brain Res. Rev., 1999, vol. 29, p. 169.
Kirnarskaya, D.K., Kiyashchenko, N.I., Tarasova, K.V., and Tsypin, G.M., Psikhologiya muzykal’noi deyatel’nosti. Teoriya i praktika: Uchebnoe posobie (The Psychology of Musical Activity. Theory and Practice: A Textbook), Tsypin, G.M., Ed., Moscow: Akademiya, 2003.
Altenmuller, E., Focal Dystonia: Advances in Brain Imging and Understanding of Fine Motor Control in Musicians, Hand Clin., 2003, vol. 19, no. 3, p. 523.
Kamijo, K., Nishihira, Y., Hatta, A., et al., Changes in Arousal Level by differential Exercise Intensity, Clin. Neurophysiol., 2004, vol. 115, issue 12, p. 2693.
Kerick, S.E., Douglass, L.W., and Hatfield, B.D., Cerebral Cortical Adaptations Associated with Visuomotor Practice, Med. Sci. Sports Exerc., 2004, vol. 36, no. 1, p. 118.
Nunez, H.L., Toward a Quantitative Estimation of Large-Scale Neocortical Dynamic Function and EEG, Behav. Brain Sci., 2000, vol. 23, p. 371.
Iznak, A.F., Modulation of Human Sensorimotor Activity against the Background of the EEG α Rhythm, in Problemy razvitiya nauchnykh issledovanii v oblasti psikhologii zdorov’ya (Problems in the Development of Research in Health Psychology), Moscow: Min. Zdrav. SSSR, Akad. Med. Nauk SSSR, 1989, p. 3.
Shchukin, T.N., Dorokhov, V.B., Lebedev, A.N., and Lutsenko, E.V., EEG Prediction of Success in a Psychomotor Test under the Conditions of a Decreased Wakefulness Level: Setting the Problem, Nauchn. Zh. Kub-GAU, 2004, no. 4, issue 6, p. 9.
Lotze, G.M., Schelera, H.-R., Tand, M., et al., The Musician’s Brain: Functional Imaging of Amateurs and Professionals during Performance and Imagery, Neuroimage, 2003, vol. 20,issue 3, no. 11, p. 1817.
Bazanova, O.M. and Shtark, M.B., Neurofeedback in Optimizing Musical Performance, Byull. Sib. Otd. Ross. Akad. Med. Nauk, 2004, vol. 113, no. 3, p. 114.
Hanslmayr, S., Sauseng, P., Doppelmayr, M., et al., Increasing Individual Upper Alpha Power by Neurofeedback Improves Cognitive Performance in Human Subjects, Appl. Psychophysiol. Biofeedback, 2005, vol. 30, no. 1, p. 1.
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Original Russian Text © O.M. Bazanova, M.B. Shtark, 2007, published in Fiziologiya Cheloveka, 2007, Vol. 33, No. 4, pp. 24–32.
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Bazanova, O.M., Shtark, M.B. Biofeedback in optimizing psychomotor reactivity: I. Comparison of biofeedback and common performance practice. Hum Physiol 33, 400–408 (2007). https://doi.org/10.1134/S0362119707040044
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DOI: https://doi.org/10.1134/S0362119707040044