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Stabilometric, electromyographic, and electroencephalographic parameters in postmenopausal women depend on training support afferentation

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Aging, lack of physical activity, and sedentary lifestyle cause disorders of the sensorimotor integration of postural control. The role of support afferentation in changes in the cortical activity in balance impairments has not been studied yet. Changes in the stabilographic (STG) parameters of the body center of gravity, the alpha activity indices of the electroencephalographic (EEG) and electromyographic (EMG) measurements of forehead muscle tone in response to visual activation were studied in standing and sitting positions of postmenopausal women with and without training support afferentation. The variables were compared between three groups: group A (n = 12; age, 66 ± 9 years), women who have purposely been training support afferentation using Aikido techniques for the last eight years; group F (n = 12; age, 65 ± 6 years), women who have attended fitness training for the last eight years; group N (n = 11; age, 66 ± 7 years), women who have not engaged in physical exercises for the last eight years. It was found that in group N, a change in the body position from sitting to standing led to a much greater increase in the area of stabilogram and in the energy spent to maintain the balance than in groups A and F. Postural changes from a sitting to standing position increase the tension of forehead muscles and the suppression of α1 amplitude, but decrease the EEG high- and low-frequency α-band power and the α-band width in group N. In group F, postural changes do not increase the EMG and EEG signs of activation and tension. In group A, standing is accompanied by a decrease in visual activation, psychoemotional tension, and an increase in the α2-band power, which is a sign of neuronal efficiency. A conclusion is reached that training focused on support afferentation in postmenopausal women decreases psychoemotional tension and increases neuronal efficiency of the sensorimotor integration of the postural control system and can be used in the prevention of falls in elderly individuals.

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References

  1. Lee, H.J. and Chou, L.S., Detection of gait instability using the center of mass and center of pressure inclination angles, Arch. Phys. Med. Rehab., 2006, vol. 87, p. 569.

    Article  Google Scholar 

  2. Barrett, R.S., Mills, P.M., and Begg, R.K., A systematic review of the effect of ageing and falls history on minimum foot clearance characteristics during level walking, Gait Posture, 2010, vol. 32, no. 4, p. 429.

    Article  CAS  PubMed  Google Scholar 

  3. Lord, S.R., Menz, H.B., and Tiedemann, A., A physiological profile approach to falls risk assessment and prevention, Phys. Ther., 2003, vol. 83, no. 3, p. 237.

    PubMed  Google Scholar 

  4. Nedergaard, A., Henriksen, K., Karsdal, M.A., and Christiansen, C., Musculoskeletal ageing and primary prevention, Best Pract. Res. Clin. Obstet. Gynaecol., 2013, vol. 27, no. 5, p. 673. doi: 10.1016/j.bpobgyn.2013.06.001.

    Article  PubMed  Google Scholar 

  5. Naessen, T., Lindmark, B., Larsen, H.C., et al., Tibolone low dose (1.25 mg/d) therapy and postural balance in elderly women, Maturitas, 2009, vol. 62, no. 1, p. 72.

    Article  CAS  PubMed  Google Scholar 

  6. Lee, I.H. and Park, S.Y., Balance improvement by strength training for the elderly, J. Phys. Ther. Sci., 2013, vol. 25, no. 12, p. 1591. doi: 10.1589/jpts.25.1591.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Kesse-Guyot, E., Andreeva, V.A., Lassale, C., et al., Clustering of midlife lifestyle behaviors and subsequent cognitive function: a longitudinal study, Am. J. Public Health, 2014, vol. 104, no. 11, p. e170.

    Google Scholar 

  8. Gurfinkel’, V.S., Kots, Ya.M., and Shik, M.L., Regulyatsiya pozy cheloveka (Regulation of Human Posture), Moscow: Nauka, 1965.

    Google Scholar 

  9. Bernshtein, N.A., Fiziologiya dvizhenii i aktivnost’ (Physiology of Movements and Activity), Moscow: Nauka, 1990.

    Google Scholar 

  10. Carpenter, M.G., Allum, J.H., and Honegger, F., Directional sensitivity of stretch reflexes and balance corrections for normal subjects in the roll and pitch planes, Exp. Brain Res., 1999, vol. 129, no. 1, p. 93.

    Article  CAS  PubMed  Google Scholar 

  11. Honeine, J.L. and Schieppati, M., Time-interval for integration of stabilizing haptic and visual information in subjects balancing under static and dynamic conditions, Front Syst. Neurosci., 2014, vol. 8, p. 190. doi: 10.3389/fnsys.2014.00190.

    Article  PubMed Central  PubMed  Google Scholar 

  12. Mickle, K.J., Munro, B.J., Lord, S.R., et al., Gait, balance, and plantar pressures in older people with toe deformities, Gait Posture, 2011, vol. 34, no. 3, p. 347.

    Article  PubMed  Google Scholar 

  13. Yasuda, T., Etoh, N., Araki, Y., et al., A dynamic equilibrium examination on stabilometry (foulage test)—physiological character of normal subjects, Equilibrium Res., 2012, vol. 71, issue 2, p. 61.

    Article  Google Scholar 

  14. Grigor’ev, A.I., Shenkman, B.S., and Kozlovskaya, I.B., Role of support afferentation in the organization of the tonic muscular system, Ross. Fiziol. Zh., 2004, no. 5, p. 508.

    Google Scholar 

  15. Schneider, S., Robinson, R., Smith, C., et al., Genderspecific changes in cortical activation patterns during exposure to artificial gravity, Acta Astronaut., 2014, vol. 104, issue 1, p. 438.

    Article  Google Scholar 

  16. Marušič, U., Meeusen, R., Pišot, R., and Kavcic, V., The brain in micro- and hypergravity: the effects of changing gravity on the brain electrocortical activity, Eur. J. Sport Sci., 2014, vol. 14, no. 8, p. 813.

    Article  PubMed  Google Scholar 

  17. Bazanova, O.M., Modern interpretation of the electroencephalogram alpha-activity, Usp. Fiziol. Nauk, 2009, vol. 40, no. 3, p. 32.

    CAS  PubMed  Google Scholar 

  18. Cheron, G., Leroy, A., Palmero-Soler, E., et al., Gravity influences top-down signals in visual processing, PLoS One, 2014, vol. 9, no. 1, p. e82371. doi: 10.1371/journal.pone.0082371.

    Google Scholar 

  19. Zhavoronkova, L.A., Zharikova, A.V., Kushnir, E.M., and Mikhalkova, A.A., EEG markers of upright posture in healthy individuals, Hum. Physiol., 2012, vol. 38, no. 6, p. 604.

    Article  Google Scholar 

  20. Babiloni, C., Del Percio, C., Iacoboni, M., et al., Golf putt outcomes are predicted by sensorimotor cerebral EEG rhythms, J. Physiol., 2008, vol. 586, no. 1, p. 131.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  21. Tse, Y.Y., Petrofsky, J.S., Berk, L., et al., Postural sway and rhythmic electroencephalography analysis of cortical activation during eight balance-training tasks, Med. Sci. Monit., 2013, vol. 19, p. 175.

    Article  PubMed Central  PubMed  Google Scholar 

  22. Vogt, T., Abeln, V., Strüder, H.K., and Schneider, S., Artificial gravity exposure impairs exercise-related neurophysiological benefits, Physiol. Behav., 2014, vol. 123, p. 156. doi: 10.1016/j.physbeh.2013.10.020.

    Article  CAS  PubMed  Google Scholar 

  23. Bazanova, O.M. and Vernon, D., Interpreting EEG alpha activity, Neurosci. Biobehav. Rev., 2013, May 20. doi: pii:S0149-7634(13)00127-9.10.1016/j.neubiorev.2013.05.007.

    Google Scholar 

  24. Aftanas, L.I. and Tumyalis, A.V., Individual frequency of EEG α-oscillations as a neurophysiological endophenotype of emotional predispositions, Vestn. Ross. Akad. Med. Nauk, 2013, no. 12, p. 69.

    PubMed  Google Scholar 

  25. Bazanova, O.M. and Aftanas, L.I., Indices of nonverbal creativity and individual frequency of the maximal peak of EEG alpha-activity, Funkts. Diagn., 2006, no. 4, p. 43.

    Google Scholar 

  26. Cacioppo, J.T., Martzke, J.S., Petty, R.E., and Tassinary, L.G., Specific forms of facial EMG response index emotions during an interview: from Darwin to the continuous flow hypothesis of affect-laden information processing, J. Person. Soc. Psychol., 1988, vol. 54, p. 592.

    Article  CAS  Google Scholar 

  27. Wijsman, J., Grundlehner, B., Liu, H., et al., Towards mental stress detection using wearable physiological sensors, Conf. Proc. IEEE Eng. Med. Biol. Soc., 2011, p. 1798.

    Google Scholar 

  28. Halliday, D.M., Conway, B.A., Farmer, S.F., and Rosenberg, J.R., Using electroencephalography to study functional coupling between cortical activity and electromyograms during voluntary contractions in humans, Neurosci. Lett., 1998, vol. 241, p. 5.

    Article  CAS  PubMed  Google Scholar 

  29. Klimesch, W., EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis, Brain Res. Rev., 1999, vol. 29, p. 169.

    Article  CAS  PubMed  Google Scholar 

  30. Bazanova, O.M., Kuz’minova, O.I., Nikolenko, E.D., and Petrova, S.E., EEG activation response under different neurohumoral states, Hum. Physiol., 2014, vol. 40, no. 4, p. 375.

    Article  Google Scholar 

  31. Doppelmayr, M., Klimesch, W., Pachinger, T., and Ripper, B., Individual differences in brain dynamics: important implications for the calculation of eventrelated band power, Biol. Cybern., 1998, vol. 79, no. 1, p. 49.

    Article  CAS  PubMed  Google Scholar 

  32. Aftanas, L.I. and Golosheikin, S.A., Changes in cortical activity in altered states of consciousness: The study of meditation by high-resolution EEG, Hum. Physiol., 2003, vol. 29, no. 2, p. 143.

    Article  Google Scholar 

  33. Klimesch, W., Sauseng, P., and Hanslmayr, S., EEG alpha oscillations: the inhibition-timing hypothesis, Brain Res. Rev., 2007, vol. 53, p. 63.

    Article  PubMed  Google Scholar 

  34. Pfurtscheller, G., Daly, I., Bauernfeind, G., and Müller-Putz, G.R., Coupling between intrinsic prefrontal HbO2 and central EEG beta power oscillations in the resting brain, PLoS One, 2012, vol. 7, no. 8, e43640.

    Google Scholar 

  35. Cooper, N.R., Burgess, A.P., Croft, R.J., and Gruzelier, J.H., Investigating evoked and induced electroencephalogram activity in task-related alpha power increases during an internally directed attention task, NeuroReport, 2006, vol. 17, p. 205.

    Article  PubMed  Google Scholar 

  36. Babiloni, C., Marzano, N., Lizio, R., et al., Resting state cortical electroencephalographic rhythms in subjects with normal and abnormal body weight, Neuroimage, 2011, vol. 58, no. 2, p. 698.

    Article  PubMed  Google Scholar 

  37. Lawrence, J.J., Grinspan, Z.M., Statland, J.M., and McBain, C.J., Muscarinic receptor activation tunes mouse stratum oriens interneurons to amplify spike reliability, J. Physiol., 2006, vol. 571, no. 3, p. 555.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  38. Bazanova, O.M. and Aftanas, L.I., Individual measures of electroencephalogram alpha activity and nonverbal creativity, Neurosci. Behav. Physiol., 2008, vol. 38, no. 3, p. 227. doi: 10.1007/s11055-008-0034-y.

    Article  CAS  PubMed  Google Scholar 

  39. Gözö, Shioda, Dynamic Aikido, Tokyo, Japan: Kodansha International, 1977.

    Google Scholar 

  40. Mitsugi Saotome, The Principles of Aikido, Boston: Shambala, 1989.

    Google Scholar 

  41. Roy, K.J., Force, pressure, and motion measurements in the foot: current concepts, Clin. Podiatr. Med. Surg., 1988, vol. 5, no. 3, p. 491.

    CAS  PubMed  Google Scholar 

  42. Vikhlyaeva, E.M., Klimaktericheskii sindrom. Rukovodstvo po endokrinnoi ginekologii (Climacteric Syndrome. Manual on Endocrine Gynecology), Moscow: MIA, 1998.

    Google Scholar 

  43. Khanin, Yu.L., Kratkoe rukovodstvo k primeneniyu shkaly reaktivnoi i lichnostnoi trevozhnosti Ch.D. Spilbergera (Short Handbook on the Use of Spilberger’s Reactive and Personality Anxiety Scale), Leningrad, 1976.

    Google Scholar 

  44. Van Daele, U., Huyvaert, S., Hagman, F., et al., Reproducibility of postural control measurement during unstable sitting in low back pain patients, BMC Musculoskelet. Disord., 2007, vol. 8, p. 44. Published online May 22, 2007. doi: 10.1186/1471-2474-8-44.

    Article  PubMed Central  PubMed  Google Scholar 

  45. Grokhovskii, S.S. and Kubryak, O.V., Metrological support of measurements in the study of human balance functions, Mir Izmerenii, 2011, no. 11, p. 37.

    Google Scholar 

  46. Barry, R.J., Clarke, A.R., Johnstone, S.J., et al., EEG differences between eyes-closed and eyes-open resting conditions, Clin. Neurophysiol., 2007, vol. 118, p. 2765.

    Article  PubMed  Google Scholar 

  47. Segreto, J., The role of EMG awareness in EMG biofeedback learning, Biofeedback Self Regul., 1995, vol. 20, no. 2, p. 155.

    Article  CAS  PubMed  Google Scholar 

  48. Muir-Hunter, S.W., Clark, J., McLean, S., et al., Identifying balance and fall risk in community-dwelling older women: the effect of executive function on postural control, Physiother. Can., 2014, vol. 66, no. 2, p. 179.

    Article  PubMed Central  PubMed  Google Scholar 

  49. Muir, B.C., Haddad, J.M., Heijnen, M.J., and Rietdyk, S., Proactive gait strategies to mitigate risk of obstacle contact are more prevalent with advancing age, Gait Posture, 2015, vol. 41, no. 1, p. 233. doi: 10.1016/j.gaitpost.2014.10.005.

    Article  CAS  PubMed  Google Scholar 

  50. Terrier, P. and Reynard, F., Effect of age on the variability and stability of gait: a cross-sectional treadmill study in healthy individuals between 20 and 69 years of age, Gait Posture, 2015, vol. 41, no. 1, p. 170. doi: 10.1016/j.gaitpost.2014.09.024.

    Article  PubMed  Google Scholar 

  51. Seguin, R., Buchner, D.M., Liu, J., et al., Sedentary behavior and mortality in older women: the Women’s Health Initiative, Am. J. Prev. Med., 2014, vol. 46, no. 2, p. 122. doi: 10.1016/j.amepre.2013.10.021.

    Article  PubMed Central  PubMed  Google Scholar 

  52. Atkins, J., Naismish, S.L., Luscombe, G.M., and Hickie, I.B., Psychological distress and quality of life in older persons: relative contributions of fixed and modifiable risk factors, BMC Psychiatry, 2013, vol. 13, p. 249. doi: 10.1186/1471-244X-13-249.

    Article  PubMed Central  PubMed  Google Scholar 

  53. Okoro, C.A., Stoodt, G., Rohrer, J.E., et al., Physical activity patterns among U.S. adults with and without serious psychological distress, Public Health Rep., 2014, vol. 129, no. 1, p. 30.

    PubMed Central  PubMed  Google Scholar 

  54. Yeh, T.T., Cluff, T., and Balasubramaniam, R., Visual reliance for balance control in older adults persists when visual information is disrupted by artificial feedback delays, PLoS One, 2014, vol. 9, no. 3, e1554. doi: 10.1371/journal.pone.0091554.

    Google Scholar 

  55. Vecchio, F., Del Percio, C., Marzano, N., et al., Functional corticomuscular coupling during upright standing in athletes and nonathletes: a coherence electroencephalographic-electromyographic study, Behav. Neurosci., 2008, vol. 122, no. 4, p. 917.

    Article  PubMed  Google Scholar 

  56. Haegensa, S., Nácher, V., Luna, R., et al., α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking, Proc. Natl. Acad. Sci. U.S.A., 2011, vol. 108, no. 48, p. 19377.

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute for Prospective Humanitarian Investigations, Sholokhov State University for the Humanities, Moscow, Russia

    O. M. Bazanova

  2. Novosibirsk State National Research University, Novosibirsk, Russia

    N. V. Kholodina

  3. Research Institute of Molecular Biology and Biophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia

    O. M. Bazanova, N. V. Kholodina, A. Sh. Podoinikov & E. D. Nikolenko

  4. Research Institute of Physiology and Fundamental Medicine, Novosibirsk, Russia

    O. M. Bazanova

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  1. O. M. Bazanova
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Original Russian Text © O.M. Bazanova, N.V. Kholodina, A.Sh. Podoinikov, E.D. Nikolenko, 2015, published in Fiziologiya Cheloveka, 2015, Vol. 41, No. 4, pp. 53–61.

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Bazanova, O.M., Kholodina, N.V., Podoinikov, A.S. et al. Stabilometric, electromyographic, and electroencephalographic parameters in postmenopausal women depend on training support afferentation. Hum Physiol 41, 386–393 (2015). https://doi.org/10.1134/S0362119715040039

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