Distribution of physiological resources and effectivity of purposeful activity of patients with epilepsy

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Abstract

Aim: to study distribution of physiological resources in purposeful activity of patients with epilepsy.

Materials and Methods. 70 Healthy individuals and 160 patients with epilepsy were examined. In the examined individuals purposeful activity was modeled with evaluation of its effectiveness using Schulte-Gorbov test. In the dynamics of the modeled activity, parameters of electroencephalogram, variability of heart rhythm were evaluated; in the initial condition (before Schulte-Gorbov test) parameters of evoked visual potentials, P300cognitive potentials and of a conditionally-negative deviation were estimated. Interrelations between parameters of electroencephalography and of variability of heart rhythm were studied using correlation analysis with Spearman rank correlation coefficient; the comparative analysis of variability of heart rhythm and characteristics of respiratory function was performed, and effectiveness of behavior of patients with epilepsy was predicted using logit-regression analysis.

Results. Predomination of structural-metabolic forms of epilepsy was found in the group of patients with low effectiveness of the activity. The low-effective group of patients with epilepsy showed a higher correlation of physiological parameters and a high level of characteristics refecting activation of stress-realizing systems. For effective distribution of patients with epilepsy into groups with different effectiveness of behavior, it was necessary to include characteristics of visual evoked potential, P300 cognitive potential and conditionally-negative deviation into logit-regression model, that reflects the role of afferent and association mechanisms in this task. Increase in physiological «cost» and reduction in the effectiveness of activity in the group of patients with epilepsy is associated with prevalence of structural forms of epilepsy.

Conclusion. Epileptogenic zones in patients with epilepsy are supposed to play a role not only in reduction of effectiveness of activity, but also in excessive mobilization of physiological resources and in increase in physiological cost of activity, that diminishes its effectiveness.

About the authors

Roman A. Zorin

Ryazan State Medical University

Author for correspondence.
Email: zorin.ra30091980@mail.ru
ORCID iD: 0000-0003-4310-8786
SPIN-code: 5210-5747
ResearcherId: G-8833-2018

MD, Grand PhD, Associate Professor of Neurology and Neurosurgery Department

Russian Federation, 9, Vysokovoltnaja, Ryazan, 390026

Yuliya I. Medvedeva

Ryazan State Medical University

Email: barachka89@yandex.ru
ORCID iD: 0000-0003-2292-6990
SPIN-code: 5210-5747
ResearcherId: Н-1698-2018

PhD Student of Neurology and Neurosurgery Department

Russian Federation, 9, Vysokovoltnaja, Ryazan, 390026

Inna S. Kurepina

Ryazan State Medical University

Email: innakurepina90@mail.ru
ORCID iD: 0000-0001-9207-2447
SPIN-code: 6914-4106
ResearcherId: H-2420-2018

PhD Student of Neurology and Neurosurgery Department

Russian Federation, 9, Vysokovoltnaja, Ryazan, 390026

Michail M. Lapkin

Ryazan State Medical University

Email: lapkin_rm@mail.ru
ORCID iD: 0000-0003-1826-8307
SPIN-code: 5744-5369
ResearcherId: S-2722-2016

MD, Grand PhD, Professor, Head of the Physiology Department with the Psychophysiology Course

Russian Federation, 9, Vysokovoltnaja, Ryazan, 390026

Vladimir A. Zhadnov

Ryazan State Medical University

Email: vladimir.zhadnov@mail.ru
ORCID iD: 0000-0002-5973-1196
SPIN-code: 1632-5083
ResearcherId: A-7378-2017

MD, Grand PhD, Professor, Head of the Neurology and Neurosurgery Department

Russian Federation, 9, Vysokovoltnaja, Ryazan, 390026

References

  1. Malcolm BR, Foxel JJ, Butler JS, et al. The aging brain shows less flexible reallocation of cognitive resources during dual-task walking: a mobile brain/body imaging (MoBI) study. Neuroimage. 2015;117(15):230-42. doi: 10.1016/j.neuroimage. 2015.05.028
  2. Sudakov KV. Theory of functional systems: a keystone of integrative biology. Cognitive systems monographs. 2015;25:153-73. doi: 10.1007/978-3-319-19446-2_9
  3. Shanin VYu. Pathophysiology of critical states. Saint-Petersburg: Elbi-Pres; 2003. (In Russ).
  4. Saltykov AB. Functional systems in medicine. Moscow: Meditsinskoe informatsionnoe agentst-vo; 2013. (In Russ).
  5. Kryzhanovsky GN. Dysregulation pathology and pathological integrations in the nervous system. Zhurnal Nevrologii i Psikhiatrii imeni SS Korsakova. 2009;109(1):4-9. (In Russ).
  6. Moshe SL, Perucca E, Ryvlin P, et al. Epilepsy: new advances. The Lancet. 2015;385(9971):884-98. doi: 10.1016/S0140-6736(14)60456-6
  7. Avakyan GN, Blinov DV, Lebedeva AV, et al. ILAE Classification of the epilepsies: the 2017 revision and update. Epilepsy and Paroxyzmal Conditions. 2017;9(1):6-25. doi: 10.17749/2077-8333.2017. 9.1.006-025
  8. Aleksandrov MV, Ulitin AYu, Ivanov LB, et al. Obshchaya elektroentsefalografiya. Saint-Peters-burg: Infor-matsionnyy izdatel'skiy uchebno-nauch-nyy tsentr «Strategiya budushchego»; 2017.
  9. Pokhachevskiy AL, Reksha YuM, Gadzhimuradov FR, et al. Algorithms, methods and equipment for analysis of heart rate patterns in physical load testing. Biomedical Radioelectronics. 2018;1:33-8. (In Russ).
  10. Ikeda A, Inoue Y. Event-related potentials in patients with epilepsy: from current state to future prospects. John Libbley Eurotext; 2008.
  11. Petri A, Sebin K. Naglyadnaya meditsinskaya statistika. Moscow: GEOTAR-MEDIA; 2015.
  12. Shorvon S, Guerrini R, Cook M, et al., editors. Oxford textbook of epilepsy and epileptic seizures. Oxford University Press; 2013.
  13. Tkachenko PV, Bobyntsev II. Sootnosheniye mo-tornykh i sensornykh funktsiy cheloveka. Kursk: Kur-skiy gosudar-stvennyy meditsinskiy universitet; 2016.
  14. Rozhnov OI. Dinamika parametrov serdechno-dykhatelnogo sinkhronizma v sopostavlenii s urovnem gormonov stress-realizuyushchey i stress-limitiruyushchey sistem pri psikhogennom stresse. Kubanskiy Nauchnyy Meditsinskiy Vestnik. 2008; 6:68-70. Мiranda AA, Zorin RA, Zhadnov VA. Prognosis of symptomatic epilepsy development in patients with brain tumors through analysis of neurophysiological parameters and binary logistic regression. IP Pav-lov Russian Medical Biological Herald. 2017; 25(2):223-36. (In Russ). doi: 10.23888/PAVLOVJ 2017223-236

Supplementary files

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2. Fig. 1. Interrelation between characteristics of EEG and VCR in healthy individuals

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3. Fig. 2. Interrelation between characteristics of EEG and VCR in the efficient group of patients with epilepsy

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4. Fig. 3. Interrelation between characteristics of EEG and VCR in the low-efficient group of patients with epilepsy

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Copyright (c) 2018 Zorin R.A., Medvedeva Y.I., Kurepina I.S., Lapkin M.M., Zhadnov V.A.

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