Functional activity of the brain among elderly women with different autonomic tones in the Arctic zone of the Russian Federation

封面

如何引用文章

全文:

详细

AIM: To identify the distinctive features of brain activity based on the distribution of DC-potential levels among elderly women across different autonomic tones in the Russian Arctic.

MATERIALS AND METHODS: In total, 121 60–74 years old women permanently living in Arctic Russia participated in a cross-sectional study. Differences in the indicators of DC-potential levels were measured in three groups of elderly women with different levels of autonomic tone, namely, in vagotonics, normotonics and sympathotonics. Registration of the DC-potential levels of the brain was carried out using a 12-channel “Neuro-KM” diagnostic equipment. The assessment of the autonomic regulation of the heart rate was carried out using the “VNS-spectrum” equipment.

RESULTS: Greater total and average indicators of DC-potential distribution were observed in the sympathotonic group compared with the two other groups. For all monopolar leads, a clear trend towards an increase in neuroenergometabolism of the brain in elderly women with predominant activity of the sympathetic part of the ANS was observed. The dome-shaped principle was violated in both sympathotonics and vagotonics. In the group of normotonics and vagotonics, the leading factors were the functional activity of the central and frontal regions of the brain, while in the group of sympathotonics, the greatest proportion was determined by the factors regulating brain activity of the right temporal and frontal regions.

CONCLUSION: The study of the functional activity of the brain in elderly women with different autonomic tones demonstrates the presence of specific changes in the distribution of values of the constant potential level, which may indicate some change in the mechanisms characterizing the state of cerebral energy exchange. The most pronounced changes were observed in women with the sympathotonic type of ANS, which may characterize the processes of incomplete adaptation.

作者简介

Anatoliy Gribanov

Northern (Arctic) Federal University named after M.V. Lomonosov

编辑信件的主要联系方式.
Email: a.gribanov@narfu.ru
ORCID iD: 0000-0002-4714-6408
SPIN 代码: 2788-8167

MD, Dr. Sci. (Med.), professor

俄罗斯联邦, Arkhangelsk

Taisiia Shiryaeva

Northern (Arctic) Federal University named after M.V. Lomonosov

Email: t.shiryaeva@narfu.ru
ORCID iD: 0000-0001-9458-3224
SPIN 代码: 6330-0832

Cand. Sci. (Biol.), associate professor

俄罗斯联邦, Arkhangelsk

Irina Fateeva

Novodvinsk Orphanage for Children with Intellectual Disabilities

Email: irana1307@mail.ru
ORCID iD: 0000-0003-4506-5871
SPIN 代码: 1934-8901

MD, defectologist

俄罗斯联邦, Novodvinsk

Denis Fedotov

Northern (Arctic) Federal University named after M.V. Lomonosov; Northern State Medical University

Email: doctorpro@yandex.ru
ORCID iD: 0000-0002-4067-8364
SPIN 代码: 1209-7657

MD, Cand. Sci. (Med.), associate professor

俄罗斯联邦, Arkhangelsk; Arkhangelsk

Oksana Preminina

Northern (Arctic) Federal University named after M.V. Lomonosov

Email: o.preminina@narfu.ru
ORCID iD: 0000-0001-9664-8773
SPIN 代码: 4975-5736

Cand. Sci. (Biol.), associate professor

俄罗斯联邦, Arkhangelsk

Tatiana Anoshina

Northern (Arctic) Federal University named after M.V. Lomonosov

Email: t.anoshina@narfu.ru
ORCID iD: 0000-0002-4882-7512
SPIN 代码: 8580-6240

associate professor

俄罗斯联邦, Arkhangelsk

参考

  1. Kandelya MV, Koisman LA, Nazarova VP. Physiological and psychological changes in old age. Vestnik Priamurskogo gosudarstvennogo universiteta im. Sholom-Alejhema. 2019;(2):105–116. (In Russ).
  2. Grigorieva IA. Elderly women: over the hill — age- and gender-wise. Woman in Russian Society. 2018;(1):5–18. (In Russ).
  3. Krapivina OV. Peculiarities of women’s self-assessment during old age crisis period. Tomsk State University Journals. 2011;16(1):389–390. (In Russ).
  4. Dubovaya AV, Iaroshenko SYa, Prilutskaya OA. Chronic stress and brain-derived neurotrophic factor. Practical medicine. 2021;19(2):19–27. (In Russ).
  5. Khalepo OV, Molotkov OV, Korchigina NV, et al. Vegetative regulation condition in patients of elderly and senile age with various forms of cardiovascular pathology. Vestnik of the Smolensk State Medical Academy. 2019;18(2):135–143. (In Russ).
  6. Wu JK, Huang Z, Zhang Z, et al. Quantitative assessment of autonomic regulation of the cardiac system. J Healthc Eng. 2019;2019:4501502. doi: 10.1155/2019/4501502
  7. Fokin VF, Ponomareva NV. Jenergeticheskaja fiziologija mozga. Moscow: Antidor; 2003. 288 p. (In Russ).
  8. Zygmunt A, Stanczyk J. Methods of evaluation of autonomic nervous system function. Arch Med Sci. 2010;6(1):11–18. doi: 10.5114/aoms.2010.13500
  9. Rabadanova AI. Age features changes in physiological and biochemical indices in people with different degrees of activity of the autonomic nervous system. Modern Problems of Science and Education. 2015;(5):634. (In Russ).
  10. Reutov VP, Chertok VM. The new understanding of the autonomic nervous system role and the nitric oxide generating system in the brain vessels. Pacific Medical Journal. 2016;(26):10–20. (In Russ).
  11. Rodin E, Bornfleth H, Johnson M. DC-EEG recordings of mindfulness. Clin Neurophysiol. 2017;128(4):512–519. (In Russ). doi: 10.1016/j.clinph.2016.12.031
  12. Chesnokova NP, Ponukalina EV, Polutova NV, Bizenkova MN. Znachenie vegetativnyh nervnyh vlijanij i aktivnosti gipotalamo-gipofizarnoj sistemy v reguljacii funkcii perifericheskih jendokrinnyh zhelez, obshhesomaticheskogo i metabolicheskogo statusov. Scientific Review. Medical Sciences. 2016;(1):54–55. (In Russ).
  13. Babiyants AYa, Afonin AA. Morphological and functional features respiratory-hemodynamic relationship in the antenatal period of development. Zhurnal fundamental’noj mediciny i biologii. 2018;(1):37–47. (In Russ).
  14. Fokin VF, Ponomareva NV. Intensivnost’ cerebral’nogo energeticheskogo obmena: vozmozhnosti ego ocenki elektrofiziologicheskim metodom. Vestnik Rossijskoj akademii medicinskih nauk. 2001;(8):38–43. (In Russ).
  15. Deputat IS, Gribanov AV, Bol’shevidtseva IL. Cerebral energy metabolism in older women living in the European North of Russia (Exemplified by the Arkhangelsk region). Vestnik Severnogo (Arkticheskogo) federal’nogo universiteta. Ser.: Mediko-biologicheskie nauki, 2016;(4):5–12. (In Russ). doi: 10.17238/issn2308-3174.2016.4.5
  16. Volokitina TV, Anikina NY, Kottsova ON, Gribanov AV. Manifestations of ecological adaptedness of cerebral power exchange at young inhabitants of the arctic region with various vegetative tone. Modern Problems of Science and Education. 2018;(6):93. (In Russ).
  17. Deputat IS, Nekhoroshkova AN, Gribanov AV, et al. Analysis of dc-potential level in assessment of body functional state (review). Ekologiya cheloveka (Human Ecology). 2015;22(10):27–36. (In Russ).
  18. Melkova LA, Fedotov DM. Autonomic regulation of heart rate in elderly and senile women during tilt table test. Journal of Medical and Biological Research. 2015;(2):44–51. (In Russ).
  19. Sawatzky A, Cunsolo A, Jones-Bitton A, et al. Responding to climate and environmental change impacts on human health via integrated surveillance in the circumpolar north: a systematic realist review. Int J Environ Res Public Health. 2018;15(12):2706. doi: 10.3390/ijerph15122706
  20. Kottsova ON, Anikina NYu, Gribanov AV. Sex differences in cerebral energy exchange among residents of the arctic zone of the Russian Federation. Journal of Ural Medical Academic Science. 2021;18(1): 4–12. (In Russ). doi: 10.22138/2500-0918-2021-18-1-4-12
  21. Sato N, Katori Y. Infra-slow electroencephalogram power associates with reaction time in simple discrimination tasks. In: Lecture notes in computer science. 2019. P. 501–511.
  22. Ernst G. Heart-rate variability-more than heart beats? Front Public Health. 2017;5:240.
  23. Abboud FM, Singh MV. Autonomic regulation of the immune system in cardiovascular diseases. Adv Physiol Educ. 2017;41(4):578–593. doi: 10.1152/advan.00061.2017
  24. Korf HW. Signaling pathways to and from the hypophysial pars tuberalis, an important center for the control of seasonal rhythms. Gen Comp Endocrinol. 2018;258:236–243. doi: 10.1016/j.ygcen.2017.05.011
  25. Vetsler MV, Cherkasova VG, Muraviyov SV, et al. Cognitive functions and vegetative regulation in practically healthy young people with different health status. Perm Medical Journal. 2018;(4):77–82. (In Russ). doi: 10.17816/pmj35477-82
  26. Willie CK, Tzeng YC, Fisher JA, Ainslie PN. Integrative regulation of human brain blood flow. J Physiol. 2014;592(5):841–859. doi: 10.1113/jphysiol.2013.268953
  27. Tentolouris N, Argyrakopoulou G, Katsilambros N. Perturbed autonomic nervous system function in metabolic syndrome. Neuromolecular Med. 2008;10(3):169–178. doi: 10.1007/s12017-008-8022-5

补充文件

附件文件
动作
1. JATS XML
下载
2. Fig. 1. Distribution of the DC-potential level in elderly women with different autonomic tone: * statistically significant differences between sympathotonics and normotonics; + statistically significant differences between sympathotonics and vagotonics.

下载 (81KB)
索引源数据
3. Fig. 2. Distribution of the DC-potential level of brain in normotonics.

下载 (110KB)
索引源数据
4. Fig. 3. Distribution of the DC-potential level of brain in sympathotonics.

下载 (79KB)
索引源数据
5. Fig. 4. Distribution of the DC-potential level of brain in vagotonics.

下载 (89KB)
索引源数据

版权所有 © Eco-Vector, 2023

Creative Commons License
此作品已接受知识共享署名-非商业性使用-禁止演绎 4.0国际许可协议的许可。
 


##common.cookie##