Epilepsy and paroxysmal conditions

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Aim. To predict the course of epilepsy using a set of physiological parameters.

Materials and methods. We examined 72 healthy individuals (control group) and 163 patients with epilepsy by monitoring the EEG, the evoked potentials, and the parameters of the motor and vegetative systems. Based on the cluster approach, the patients were subdivided into subgroups according to their clinical and psychological characteristics, as well as the quality of life. These subgroups were quantitatively described using the logit regression models and the artificial neural networks technology.

Results. We were able to discern between the subgroups of patients with a favorable and unfavorable course of the disease. The patients with an unfavorable course of epilepsy had an increased latency of cognitive evoked potentials, a decreased activation of the associative and the motor cerebral mechanisms, as well as a prevalence of the sympathetic activity. We have found reasonably good correlations between the patients’ clinical characteristics and the physiological parameters based on the logit regression analysis and artificial neural networks models.

Conclusion. The clinical and psychosocial heterogeneity of patients with epilepsy is associated with the prevalence of symptomatic forms in the group with an unfavorable course of the disease. The crucial role in dividing the patients into clinical groups is played by the manifestations of nonspecific modulating brain structures.

About the Authors

R. A. Zorin
Ryazan State Medical University
Russian Federation

Zorin Roman Aleksandrovich – MD, PhD, Assistant professor, the Department of neurology and neurosurgery.

Ul. Vysokovoltnaya, 9, Ryazan, 390026

V. A. Zhadnov
Ryazan State Medical University
Russian Federation

Zhadnov Vladimir Alekseevich – MD, Professor, Head of the Department of neurology and neurosurgery.

Ul. Vysokovoltnaya, 9, Ryazan, 390026

M. M. Lapkin
Ryazan State Medical University
Russian Federation

Lapkin Mihail Mihajlovich – MD, Professor, Head of the Department of physiology & psychophysiology.

Ul. Polonskogo 13, Ryazan, 390000


1. Avakyan G.N., Blinov D.V., Lebedeva A.V., Burd S.G., Avakyan G.G. Epilepsiya i paroksizmal’nye sostoyaniya / Epilepsy and paroxysmal conditions. 2017; 9 (1): 6-25. DOI:10.17749/2077-8333.2017.9.1.006-025.

2. Berg A. T., Berkovic S. F., Brodie M. J. et al. Revised terminology and concepts for or-ganization of seizures and epilepsies: Report of the ILAE Comission on Classification and Terminology 2005-2009. Epilepsia. 2010; 51 (4): 676-685.

3. Cross J.H. Update on classification. Comprehensive epileptology. Eds. E. I. Gusev, A.B. Guekt. [Obnovlenie klassifikatsii. Sovremennaya epileptologiya. Pod red. E. I. Guseva, A.B. Gekht (in Russian)]. Moscow. 2011; 189-200.

4. Melikyan E.G., Mil’chakova L.E., Lebedeva A.V. i dr. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova (in Russian). 2012; 112 (6-2): 78-82.

5. Kanner A.M., Barry J. J., Gilliam F. et al. Depressive and anxiety disorders in epilepsy: Do they differ in their potential to worsen common antiepileleptic drug-related adverse events? Epilepsia. 2012; 53 (6): 1104-1108.

6. Kwan P., Arzimanoglou A., Berg A. T. et al. Definition of drug resistant epilepsy: con-sensus proposal by the ad hoc Task Force of the ILAE Comission on Theurapeutic Strategies. Epilepsia. 2010; 51 (6): 1069-1077.

7. Kalinin V.A., Yakunina A.V., Poverennova I. E. Nevrologiya, neiropsikhiatriya, psikhosomatika (in Russian). 2015; S1: 26-30.

8. Karlov V.A. Epilepsy in children and adults, women and men: a guide for doctors [Epilepsiya u detei i vzroslykh, zhenshchin i muzhchin: rukovodstvo dlya vrachei (in Russian)]. Moscow. 2010; 720.

9. Karlov V.A. Epilepsy as a complex, multifaceted problem. Modern Epileptology [Epilepsiya kak kompleksnaya mnogolikaya problema. Sovremennaya epileptologiya. Pod red. E. I. Guseva, A.B. Gekht (in Russian)]. Moscow. 2011; 219-231.

10. Mantrova N.N. Methodical guidance on psychophysiological and psychological diagnosis [Metodicheskoe rukovodstvo po psikhofiziologicheskoi i psikho-logicheskoi diagnostike (in Russian)]. Ivanovo. 2007; 216.

11. Fiest K.M., Patten S.B., Wiebe S. et al. Validating screening tools for depression in epilepsy. Epilepsia. 2014; 55 (10): 1642-1650.

12. Dubois B., Slachevsky A., Litvan I. et al. The FAB: A Frontal Assesment Battery at bedside. Neurology. 2000; 55 (11): 1621-1626.

13. Ware J. E., Snow K.K., Kosinski M. et al. Sf-36 Healh Survey. Manual and Interpretation Guide. Lincoln, RI: QualityMetric Incorporated. 2000; 150.

14. Cramer J.A., Perrine K., Devinsky O. et al. Development and cross-cultural translations of a 31-item quality of life in epilepsy inventory. Epilepsia. 1998; 39 (1): 81-88.

15. Zenkov L.R. Clinical epileptology (with elements of neurophysiology) [Klinicheskaya epileptologiya (s elementami neirofiziologii) (in Russian)]. Moscow. 2010; 405.

16. Gnezditskii V.V., Korepina O.S. Atlas on the evoked potentials of the brain (a practical guide based on the analysis of specific clinical observations) [Atlas po vyzvannym potentsialam mozga (prakticheskoe rukovodstvo, osnovannoe na analize konkretnykh klinicheskikh nablyudenii) (in Russian)]. Ivanovo. 2011; 532.

17. Nikolaev S.G. Atlas of electromyography [Atlas po elektromiografii (in Russian)]. Ivanovo. 2010; 462.

18. Baevskii R.M. Vestnik aritmologii (in Russian). 2001; 24: 65-86.

19. Byalovskii Yu.Yu., Abrosimov V.N. Capnography in general medical practice. [Kapnografiya v obshchevrachebnoi praktike (in Russian)]. Saarbruecken. 2014; 136.

20. Boev V.M., Borshchuk E. L., Ekimov A.K. et al. A guide to ensure the solution of biomedical problems using the program Statistica 10.0. [Rukovodstvo po obespecheniyu reshe-niya medikobiologicheskikh zadach s primeneniem programmy Statistica 10.0 (in Russian)]. Orenburg. 2014; 208 s.

21. Moein S. Medical diagnosis using artificial neural networks. Hershey. 2014; 310.

22. Karlov V.A., Rokotyanskaya E.M., Kovalenko G.A. Epilepsiya i paroksizmal’nye sostoyaniya / Epilepsy and paroxysmal conditions (in Russian). 2011; 3 (2): 22-27.

23. Moshe S. L., Perucca E., Ryvlin P. et al. Epilepsy: new advances. Lancet. 2015; 385 (9971): 884-898.

24. Artemiadis A.K., Fili M., Papadopoulos G. et al. Auditory event-related potentials (P300) and mesial temporal sclerosis in temporal lobe epilepsy patients. Epileptic disorders. 2014; 16 (1): 67-73.

25. Meldolesi G.N., Picardi A., Quarato P.P. et al. Factors associated with generic and disease-specific quality of life in temporal lobe epilepsy. Epilepsy Research. 2006; 69 (2): 135-146.

26. Warren C.P., Hu S., Stead M. Synchrony in normal and focal epileptic brain: the sei-zure onset zone is functionally disconnected. Journal of Neurophysiology. 2010; 104 (6): 3530-3539.

27. Chen R.C., Tsai S.Y., Chang Y.C. et al. Seizure frequency affects event-related poten-tials (P300) in epilepsy. Journal of clinical neuroscience. 2001: 8 (5); 442-446.

28. Berl M.M., Terwilliger V., Scheller A. Speed and complexity characterize attention problems in children with localizationrelated epilepsy. Epilepsia. 2015; 56 (6): 833-840.

29. Vegetative disorders: Clinic, treatment, diagnosis. Ed. A.M. Wayne [Vegetativnye rasstroistva: Klinika, lechenie, diagnostika. Pod red. A.M. Veina (in Russian)]. Moscow. 2000; 752.


For citations:

Zorin R.A., Zhadnov V.A., Lapkin M.M. PREDICTING THE COURSE OF EPILEPSY USING A SET OF PHYSIOLOGICAL PARAMETERS. Epilepsy and paroxysmal conditions. 2017;9(4):12-21. (In Russ.)

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ISSN 2077-8333 (Print)
ISSN 2311-4088 (Online)