Parameters of autonomic regulation in patients with focal frontal and temporal epilepsy

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Aim. This study aimed to investigate the mechanisms of autonomic regulation and  autonomic support in focal frontal and temporal lobe epilepsy.

Materials and Methods. Thirty-six individuals were examined (19 men and 17 women; mean age 33.7±1.4 years) in the control group (without history of epileptic seizures) and 68  patients (32 men and 36 women, 34.1±1.5 years) with focal epilepsy (36 patients with frontal lobe epilepsy, of which 32 had temporal lobe epilepsy). Physiological parameters of heart rate  variability and of skin sympathetic evoked potentials were evaluated.

Results. Predomination of sympathetic influences in both groups of patients was found.  According to the analysis of skin sympathetic evoked potentials, a high activity of the  suprasegmental autonomic centers was determined in patients with epilepsy. Based on the results of the correlation analysis, the initial state in patients with temporal lobe epilepsy was  characterized by greater intrasystemic tension that reflects the high level of physiological  costs. The logit regression analysis model makes it possible to distribute patients with focal  epilepsy into groups with different disease courses on the basis of the parameters of the autonomic support of the activity.

Conclusion. In patients with focal epilepsy, predomination of sympathetic influences was  observed, as well as greater activity of the suprasegmental centers of the autonomic regulation. Intrasystemic ratios of autonomic regulation parameters demonstrate an increase in the intrasystemic tension and a limitation of functional reserves in patients with temporal lobe epilepsy. A complex of parameters of autonomic support allows, based on the logit regression analysis, to distribute patients into groups with different courses of focal epilepsy.

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Julia I. Medvedeva

Ryazan State Medical University

Author for correspondence.
ORCID iD: 0000-0003-2292-6990
SPIN-code: 9025-8780
ResearcherId: Н-1698-2018

PhD-Student of the Department of Neurology and Neurosurgery, Ryazan State Medical University

Russian Federation, Ryazan

Roman A. Zorin

Ryazan State Medical University

ORCID iD: 0000-0003-4310-8786
SPIN-code: 5210-5747
ResearcherId: G-8833-2018

MD, PhD, Associate Professor of the  Department of Neurology and Neurosurgery, Ryazan State Medical University

Russian Federation, Ryazan

Vladimir A. Zhadnov

Ryazan State Medical University

ORCID iD: 0000-0002-5973-1196
SPIN-code: 1632-5083
ResearcherId: A-7378-2017

MD, PhD, Professor of the Head of the Department of Neurology and Neurosurgery, Ryazan State Medical University

Russian Federation, Ryazan

Michael M. Lapkin

Ryazan State Medical University

ORCID iD: 0000-0003-1826-8307
SPIN-code: 5744-5369
ResearcherId: S-2722-2016

MD, PhD, Professor, Head of the Department of Physiology with the Course of Psychophysiology, Ryazan State Medical University

Russian Federation, Ryazan


  1. Shprakh VV, Sinkov AV, Sinkova GM. Cerebrogenic disorders of rhythm and conduction of the heart in patients with epilepsy. Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2000;(9):16-20. (In Russ).
  2. Yildiz GU, Dogan EA, Dogan U, et al. Analysis of 24-hour heart rate variations in patients with epilepsy receiving antiepileptic drugs. Epilepsy & Behavior. 2011;20(2):349-54. doi: 10.1016/j.yebeh.2010.12.001
  3. Bateman LM, Spitz M, Seyal M. Ictal hypoventilation contributes to cardiac arrhythmia and SUDEP: report on two deaths in video-EEG-monitored patients. Epilepsia. 2010;51(5):916-20. doi:10.1111/ j.1528-1167.2009.02513.x
  4. Veyn AM, Voznesenskaya TG, Vorob’yeva OV, et al.; Veyn AM, ed. Vegetativnyye rasstroystva: klinika, diagnostika, lecheniye. Moscow: MIA; 2003. (In Russ).
  5. Karlov VA. Autonomic dysfunction as additive risk factor of epilepsy. Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2012;112(5):108-13. (In Russ).
  6. Ficker DM. Sudden unexplained death and injury in epilepsy. Epilepsia. 2000;41(Suppl 2):7-12. doi:10. 1111/j.1528-1157.2000.tb01519.x
  7. Mironov VA, Mironova TF, Bavykin MV. Neyrokardiologiya v diagnostike kardioaritmiy. Akademicheskiy Zhurnal Zapadnoy Sibiri. 2013;9 (5):83-5. (In Russ).
  8. Karlov VA, Karlova SV. Sudden unexplained deaths of epileptics. Neurological Journal. 2004; 9(2):24-28. (In Russ).
  9. Jansen K, Lagae L. Cardiac changes in epilepsy. Seizure. 2010;19(8):455-60. doi: 10.1016/j.seizure.2010.07.008
  10. Tkachenko EV. The assessment of vegetative nervous system and abnormalities of heart rhythm of children with epilepsy. Medical Almanac. 2010;(3): 164-8. (In Russ).
  11. Jarczok MN, Jarczok M, Mauss D, et al. Autonomic nervous system activity and workplace stressors – a systematic review. Neuroscience and Biobehavioral Reviews. 2013;37(8):1810-23. doi:10.1016/j. neubiorev.2013.07.004
  12. Bayevsky RM. Variability of the warm rhythm in space medicine. In: The heart rhythm and the type of autonomic regulation in assessing the health of the population and functional training of athlete: Proceedings of the VI All Russia Symposium with international participation; Izhevsk, 11-12 October 2016. Izhevsk; 2016. P 15-9. (In Russ).
  13. Luque-Casado A, Zabala M, Morales E, et al. Cognitive performance and heart rate variability: the influence of fitness level. PLos One. 2013;8(2): e56935. doi: 10.1371/journal.pone.0056935
  14. Boyev VM, Borshchuk EL, Ekimov AK, et al. Rukovodstvo po obespecheniyu resheniya mediko-biologicheskikh zadach s primeneniyem programmy Statistica 10.0. Orenburg: Yuzhnyy Ural; 2014. (In Russ).
  15. Pittiq A, Arch JJ, Lam CWR, et al. Heart rate and heart rate variability in panic, social anxiety, obsessive-compulsive, and generalized anxiety disorders at baseline and in response to relaxation and hyperventilation. International Journal of Psychophysiology. 2013; 87(1):19-27. doi: 10.1016/j.ijpsycho.2012.10.012
  16. Maetzler W, Karam M, Berger MF, et al. Time- and frequency-domain parameters of heart rate variability and sympathetic skin response in Parkinson’s disease. Journal of Neural Transmission. 2015;122 (3):419-25. doi: 10.1007/s00702-014-1276-1
  17. Zheng XN, Zhang LJ, Liang H, et al. Dynamical examination of auditory event-related potentials P300 and sympathetic skin response in people with insomia of Sweet Dream Capsule therapy. Zhong-guo Zhongyao Zazhi. 2004;29(8):800-2.
  18. Gafurov BG, Abdurakhmanova ND, Busakov BC. Cardiovascular disorders in patients with epilepsy. Medical Almanac. 2009;(4):186-9. (In Russ).
  19. Zorin RA, Zhadnov VA, Lapkin MM. Clinico-physiological characteristics of patients with epilepsy with different effectiveness of purposeful activity on the basis of electrophysiological parameters. I.P. Pavlov Russian Medical Biological Herald. 2015;(4):68-73. (In Russ).
  20. Kolsal E, Serdaroğlu A, Cilsal E, et al. Can heart rate variability in children with epilepsy be used to predict seizures? Seizure. 2014;23(5):357-62. doi: 10.1016/j.seizure.2014.01.025
  21. Lesik OO, Zhadnov VA. Perculiarity of parameters of somatosensory evoked potentials in epilepsy in men and women. Medical Alphabet. 2016;3(22): 47-9. (In Russ).
  22. Miranda AA, Zorin RA, Zhadnov VA. Prognosis of symptomatic epilepsy development in patients with brain tumors through analysis of neurophysi-ological parameters and binary logistic regression. I.P. Pavlov Russian Medical Biological Herald. 2017; 25(2):223-30. (In Russ).

Supplementary files

Supplementary Files
1. Fig. 1. Relationship between parameters in patients with focal temporal epilepsy

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2. Fig. 2. Relationship between parameters in patients with focal frontal epilepsy

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Copyright (c) 2021 Medvedeva J.

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