350 rub
Journal Neurocomputers №7 for 2014 г.
Article in number:
Electroencephalographic evaluation of adaptation opportunities of the longlivers in Lerik region of Azerbaijan
Keywords: longlivers background EEG spectral capacity frequency amplitude indexes of rhythms
Authors:
Е. O. Bayramova - Ph.D. (Biol.), Associate Professor, Leading Research Scientist, Institute of Physiology A.I. Karaev, Azerbaijan Academy of Sciences
Abstract:
In this paper, using modern method of the computerized analysis of bioelectric activity of the brain, functional status and adaptive opportunities of the brain in longlivers of Lerik region of Azerbaijan is studied. The study involved healthy longlivers at the age of above 90 years. Quantitative characteristics of EEG - the spectral power, frequency, amplitude and indexes of rhythms are analyzed. It is found out that at longlivers, living in the Lerik region of Azerbaijan in relaxed conditions the structure of EEG was characterized with local prevalence of a slow delta rhythm in the lobe and a high-frequency beta-rhythm in temporal brain areas, and with the dominance of alpha activity as well. It is supposed that the revealed characteristics of EEG are an indicator of development of adaptive and compensatory mechanisms which can be related with involvement of resources to support vigorous activity of the brain, exposed to physiological age-related changes.
Pages: 12-16
References

  1. Allaxverdov V. M. Soznanie kak paradoks. SPb.: DNK. 2000. 270 s.
  2. Bogolepov N. N. Plastichnost' mezhnejronal'ny'x svyazej kory' bol'shogo mozga v vozrastnom aspekte // Vestnik AMN SSSR. 1988. № 11. S. 35-38.
  3. Boldy'reva G. N. E'lektricheskaya aktivnost' mozga cheloveka pri porazhenii die'nczefal'ny'x i limbicheskix struktur. M.: Nauka. 2000. 181 s.
  4. Zhirmunskaya E. A. V poiskax ob''yasneniya fenomenov E'E'G. M.: NPF Biola. 1996. 118 s.
  5. Polunina A. G., Lefterova N. P., Begachev A. V. Izmeneniya spektral'ny'x pokazatelej E'E'G u zdorovy'x pri povtornom obsledovanii s dvuxnedel'ny'm intervalom // Zhurnal nevrologii i psixiatrii. 2011. № 2. S. 64-71.
  6. Rusinov V. S. Biopotenczialy' mozga cheloveka. M.: Mediczina. 1987. 256 s.
  7. Svyadoshh A. I. Nevrozy'. M.: Mediczina. 1982. 366 s.
  8. Soroko S. I. Nejrofiziologicheskie mexanizmy' individual'noj adaptaczii cheloveka v Antarktide. L.: Nauka. 1984. 152 s.
  9. Soroko S. I., Bekshaev S. S., Sidorov Ju. A. Osnovny'e tipy' mexanizmov samoregulyaczii mozga. L.: Nauka. 1990. 205 s.
  10. Strukturno-funkczional'naya organizacziya razvivayushhegosya mozga. L.: Nauka. 1990. 177 s.
  11. Umryuxin E. A., Dzhebrailova T. D., Korobejnikova I. I. Spektral'ny'e xarakteristiki E'E'G pri raznoj rezul'tativnosti czelenapravlennoj deyatel'nosti studentov v situaczii e'kzamenaczionnogo stressa // Zhurnal fiziologii cheloveka. 2004. T. 30. № 6. S. 28-35.
  12. Xavinson V. X., Kvetnoj I. M., Ingel' I. E'., Mar'yanovich A. T. Vozrastnaya involyucziya organov i tkanej // Uspexi fiziologicheskix nauk. 2003. T. 34. № 1. S. 78-91.
  13. Shexovczev I. K. Diagnostika rasstrojstv pamyati licz pozhilogo vozrasta po parametram e'lektroe'nczefalogrammy' // Uspexi fiziologicheskix nauk. 2006. T. 37. № 1. S.84-95.
  14. Batler S. R., Glass A. Asymmetries in the electroencephalogram associated with cerebral dominance. EEG a Clin. Neurophysiol. 1974. V. 36. № 5. P. 481-491.
  15. Duffy F., Hughes J., Miranda F., Bernard P., Cook P. Status of quantitative EEG (QEEG) in clinical practice // Clinical Electroencephalogr. 1994. V. 25. P. 6-22.
  16. Gusnard D., Raichle M. Searching for a baseline: functional imaging and the resting human brain // Nat.Rev. Neurosci. 2001. № 2. P. 685.
  17. Llinas R., Ribary U., Contreras D., et. al. The neuronal basis for consciousness. Philas. Trans. R. Soc. Lond. B. Biol. Sci. 1998. V. 353. P. 1841-1849.
  18. Kaiser D. A. What is quantitative EEG - // J. Neurotherapy. 2006. V. 10. P. 37.
  19. Marx E., Deutschlander A., Stephan T., et. al. Eyes open and eyes closed as rest conditions, impact on brain activation patterns // Neuroimage. 2004. № 4. P. 1818.
  20. Vespa P. M., Boscardin W. J., Hovda D. A. et al. Early and persistent impaired percent alpha variability on continuous electroencephalography monitoring as predictive of poor outcome after traumatic brain injury // J. Neurosurg. 2002. V. 97. № 1. P. 84-92.
  21. Marty'nova E. N., Arxipov A. E., Baranov V. V. Kapillyaroskopiya materej i novorozhdyonny'x v pervy'e shest' sutok posle rodov // Nejrokomp'yutery'. Razrabotka, primenenie. 2014. № 7.