DYNAMICS OF INTERHEMISPHERIC RELATIONS DURING BIOFEEDBACK TRAINING
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DYNAMICS OF INTERHEMISPHERIC RELATIONS DURING BIOFEEDBACK TRAINING
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PII
S0205-95920000402-9-1
Publication type
Article
Status
Published
Abstract
The ability to control interhemispheric relations in the central regions of the cortex in the alpha frequency range was investigated at 17 volunteers using biofeedback. It is indicated that after a short period of training subjects not only able to move arbitrarily the focus of the maximum expression of alpha-frequency towards the left or right hemisphere, but also to do it in the sufficiently local area. Multivariate analysis of variance showed all subjects were able to achieve changes in the monitored parameters, but changes not always reliable. Control effectiveness of inter-hemispheric relations varied significantly among individuals with different severity levels of personal features as psychoticism, extraversion and steadiness of nerve processes.
Keywords
Electroencephalography, biofeedback, personality traits, analysis of variance, hemispheric asymmetry, spectral analysis
Date of publication
01.01.2016
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1
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544
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  1. Aslanyan E.V., Kiroj V.N., Lazurenko D.M., Bakhtin O.M. Svojstva nervnykh protsessov i ehffektivnost' BOS-treninga // Psikhol. zhurn. 2013. T. 34. № 2. S. 108-116.
  2. Aslanyan E.V., Kiroj V.N., Lazurenko D.M., Bakhtin O.M., Minyaeva N.R. Spektral'nye kharakteristiki EhEhG v dinamike proizvol'noj dvigatel'noj aktivnosti // Zhurn. vysshej nervnoj deyatel'nosti. 2014. T. 64. № 2. S. 147-158.
  3. Bobrova E.V. Sovremennye predstavleniya o korkovykh mekhanizmakh i mezhpolusharnoj asimmetrii kontrolya pozy (obzor literatury po probleme) // Zhurn. vysshej nervnoj deyatel'nosti. 2007. T. 57. № 6. S. 663-678.
  4. Dzhebrailova T.D. Individual'nye osobennosti vzaimodejstviya funktsional'nykh sistem pri tselenapravlennoj deyatel'nosti cheloveka v usloviyakh ehmotsional'nogo napryazheniya. Avtoref. diss.. d.b.n. M., 2005. 46 s.
  5. Diagnostika dominiruyuschej pertseptivnoj modal'nosti (S. Efremtseva) / Fetiskin N.P., Kozlov V.V., Manujlov G.M. Sotsial'no-psikhologicheskaya diagnostika razvitiya lichnosti i malykh grupp. M., 2002. S. 237-238.
  6. Dudkin K.N., Chueva I.V., Makarov F.N. Nejrofiziologicheskie printsipy formirovaniya kognitivnykh funktsij: rol' mezhpolusharnoj asimmetrii korkovykh struktur golovnogo mozga // Materialy konferentsii s mezhdunarodnym uchastiem "Funktsional'naya asimmetriya i plastichnost' mozga". M., 2012. S. 56-60.
  7. Dumenko V.N., Kozlov M.K., Kurova N.S., Cheremushkin E.A. Mezhpolusharnye sootnosheniya moschnosti korkovykh potentsialov v polose 1-60 Gts pri formirovanii kognitivnoj ustanovki na litsevuyu ehkspressiyu // Zhurn. vysshej nervnoj deyatel'nosti. 2009. T. 55. № 5. S. 658-580.
  8. Zhavoronkova L.A. Pravshi i levshi: osobennosti mezhpolusharnoj asimmetrii mozga i parametrov kogerentnosti EhEhG // Zhurn. vysshej nervnoj deyatel'nosti. 2007. T. 57. № 6. S. 645-662.
  9. Kiroj V.N. Interfejs mozg-komp'yuter. Rostov- n/D., 2011.
  10. Korrekturnaya proba (Test Burdona) / Al'manakh psikhologicheskikh testov. M., 1995. S. 107-111.
  11. Mikhajlova E.S., Rozenberg E.S. Individual'no - tipologicheskie osobennosti opoznaniya litsevoj ehmotsional'noj ehkspressii i vyzvannye potentsialy mozga cheloveka // Zhurn. vysshej nervnoj deyatel'nosti. 2006. T. 56. № 4. S. 481-490.
  12. Strelyau Ya., Kraevski A. Individual'nyj stil' deyatel'nosti i sila nervnoj sistemy // Psikhofiziologicheskie osobennosti stanovleniya professionala. 1974. S. 170.
  13. Fedotchev A.I., Bondar' A.T. Metod dvojnoj obratnoj svyazi ot EhEhG ritmov patsienta dlya korrektsii funktsional'nykh rasstrojstv, vyzvannykh stressom // Zhurn. vysshej nervnoj deyatel'nosti. 2008. T. 58. № 3. S. 376-381.
  14. Khanin Yu.L. Spilbergera-Khanina test: Kratkoe rukovodstvo k primeneniyu shkaly reaktivnoj i lichnostnoj trevozhnosti. L.: LNIIFK, 1976.
  15. Annett M. The distribution of manual asymmetry // British Journ. of Psychology. 1972. T. 63. №. 3. S. 343-358.
  16. Arbib M.A., Mundhenk T.N. Schizophrenia and the mirror system: and essay // Neuropsychologia. 2005. Vol. 43. P. 268-280.
  17. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., Kotchoubey B., Ktibler A., Perelmouter J., Taub E., Flor H. A spelling device for the paralysed // Nature. 1999. Vol. 398. P. 297-298.
  18. Birbaumer N., Kubler A., Ghanayim N., Hinterberger T., Perelmouter J., Kaiser J., Iversen I., Kotchoubey B., Neumann N., Flor H. The thought translation device (TTD) for completely paralyzed patients // IEEE Trans. Rehabil. Eng. 2000. Vol. 8. P. 190-192.
  19. Curran E.A., Stokes M.J. Learning to control brain activity: A review of the production and control of EEG components for driving brain-computer interface (BCI) systems // Brain Cogn. 2003. Vol. 51. P. 326336.
  20. Dekker M., Sitskoorn M., Denissen A., van Boxtel G. The time-course of alpha neurofeedback training effects in healthy participants // Biological Psychology. 2014. Vol. 95. P. 70-73.
  21. Dornhege G., Millân J.R., Hinterberger T., McFarland D., Müller K.-R. (Eds.) Toward Brain-Computer Interfacing. Cambridge: MIT Press, MA, 2007.
  22. Eysenck H. J. et al. Eysenck personality inventory. San Diego: Educational and Industrial Testing Service, 1968.
  23. Frederick J.A. Psychophysics of EEG alpha state discrimination // Conscious cogn. 2012. Vol. 21. № 3. P. 1345-1354.
  24. Hart T.J. Auto control of EEG Alpha // Psychophysiology. 1968. Vol. 4. P 506-514.
  25. Ince N.F., Tewfik A.H., Arica S. Extraction subject- specific motor imagery time-frequency patterns for single trial EEG classification // Computers in Biology and Medicine. 2007. Vol. 37. Is. 4. P. 499-509.
  26. Kiroi V.N., Vladimirskii B.M., Aslanyan E.V., Bakhtin O.M., Minyaeva N.R. Electrographic Correlates of Actual and Imagined Movements: Spectral Analysis // Neuroscience and Behavioral Physiology. 2012. Vol. 42. № 1. P. 21-27.
  27. Millân J.R. Handbook of Brain Theory and Neural Networks. Cambridge: MIT Press, 2002.
  28. Model D., Zibulevsky M. Learning subject-specific spatial and temporal filters for single-trial EEG classification // NeuroImage. 2006. Vol. 32. Is. 4. P. 1631-1641.
  29. Neuper C., Müller G., Kübler A., Birbaumer N., Pfurtscheller G. Clinical application of an eeg-based brain- computer interface: A case study in a patient with severe motor impairment // EEG and Clin. Neurophysiol. 2003. Vol. 114. N. 3. P. 399-409.
  30. Perelmouter J., Birbaumer N. A binary spelling interface with random errors // IEEE Trans. Rehabil. Eng. 2000. Vol. 8. P. 227-232.
  31. Pfurtscheller G., Neuper C., Guger C., Harkam W., Ramoser R., Schlögl A., Obermaier B., Pregenzer M. Current Trends in Graz Brain-computer Interface (BCI) // IEEE Trans. Rehab. Eng. 2000. Vol. 8. № 2. P. 216-219.
  32. Pribram K.H. The far frontal cortex as executive processor: proprieties, priorities and pratical inference / Downward Processes in the Perception Representation Mechanisms / (Eds) Taddei-Ferretti Cl., Musio K. Singapore, New Jersey, London, Hong Kong: World Science, 1998. P. 546-578.
  33. Vernon D., Egner T., Cooper N., Compton T., Neilands C., Sheri A. et al. The effect of training distinct neurofeedback protocols on aspects of cognitive performance // International Journ. of Psychophysiology. 2003. Vol. 47. № 1. P. 75-85.
  34. Wolpaw J.R., Birbaumer N., McFarlandD.J., Pfurt- scheller G., Vaughan T.M. Brain-computer interfaces for communication and control // EEG and Clin. Neurophysiol. 2002. Vol. 113. № 6. P. 767-791.
  35. Yoon J.W., Roberts St.J., Dyson M., Gan J.Q. Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling // Neural Networks. 2009. Vol. 22. № 9. P. 1286-1294.

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