PECULIARITES OF THE BRAIN BIOELECTRICAL ACTIVIT Y IN PATIENTS WITH METABOLIC SYNDROME

Authors

  • Pisotska O. V. «Institute of Neurology, Psychiatry and Narcology of the NAMS of Ukraine» SI, Kharkiv, Ukraine
  • Nikishkova I. M. «Institute of Neurology, Psychiatry and Narcology of the NAMS of Ukraine» SI, Kharkiv, Ukraine
  • Pisotska K. O. «Institute of Neurology, Psychiatry and Narcology of the NAMS of Ukraine» SI, Kharkiv, Ukraine

DOI:

https://doi.org/10.21856/j-PEP.2020.4.11

Keywords:

metabolic syndrome, electroencephalography, EEG pattern

Abstract

Background. The multicomponence of metabolic syndrome (MetS), a widespread cluster of such pathological conditions as abdominal obesity, arterial hypertension, dyslipidemia, and an elevated blood glucose level, is a condition for a high risk of formation of cerebrovascular pathology. Nevertheless, neurological changes are subclinical on early stages of the MetS course, so a timely intervention requires determination, in particular by means of electroencephalography (EEG), of cerebral predictors and markers of MetS influence on conditions of the cerebral functioning. The aim of the study was to define mechanisms of pathological changes of cerebral electrogenesis in MetS by means of EEG examination in a cohort of patients with MS. Methods. EEG examination was performed in 45 patients of age from 48 to 80 years old (52.93±0.90 years old) with a MetS, verified according to criteria of the National Cholesterol Education Program Adult Treatment Panel III. The quantitative EEG registration was carried out in the resting state and in functional loads from 16 electrodes placed in accordance with the International 10-20 system. Results. Visual and quantitative analyses of EEGs of the patients with MetS determined mildly impaired EEGs in 31.11 % of cases, moderately impaired EEGs in 35.56 %, and significantly impaired EEGs in 33.33 % of cases. According to results of the visual and quantitative EEG analyses, the most part of the patients (84.44 %) had signs of suppression of the brain bioelectrical activity due to grey matter dysfunction resulted from metabolic impairments in cortical neurons. EEG-correlates of dysfunctions of rhythmogenic brain structures (thalamus, amygdala, hippocampus, and caudate nucleus) were registered in 77.78 % of cases. A significant part of the patients (46.67 %) had an increased convulsive readiness on their EEG. Among patients with MetS the most prevalent EEG pattern was a desynchronic one (51.11 % of cases), which was a manifestation of dysfunctions on cortical, limbic-diencephalic, and mesencephalic levels simultaneously. Conclusions. The main EEG features in patients with MetS were EEG signs of dyscirculatory impairments of hypertensive and/or ischemic genesis. The most of the patients with MetS (84.44 % of cases) had EEG signs of a decreased cortical activity due to impairments of a neuronal metabolism, particularly resulted from ischemia. All the patients with MetS had EEG signs of a functional failure of cortical-subcortical connections.

References

Saklayen MG. Curr Hypertens Rep 2018; 20(2): 12-20. doi: http://doi.org/10.1007/s11906-018-0812-z.

McCracken E, Monaghan M, Sreenivasan S. Clin Dermatol 2018; 36(1): 14-20. doi:http://doi.org/10.1016/j.clindermatol.2017.09.004.

Lusis AJ, Attie AD, Reue K. Nat Rev Genet 2008; 9:819-830. doi: http://doi.org/10.1038/nrg2468.

Kwon HM, Kim BJ, Lee SH, et al. Stroke 2006; 37: 466-470. doi: http://doi.org/10.1161/01.STR.0000199081.17935.81.

Park K, Yasuda N, Toyonaga S, et al. J Neurol Neurosurg Psychiatry 2008; 79: 719-721. doi: http://doi.org/10.1136/jnnp.2007.134809.

Kawamoto R, Tomita H, Oka Y, Kodama A. Intern Med 2005; 44: 922-927. doi: http://doi.org/10.2169/internalmedicine.44.922.

Vasil’eva VV, Botasheva TL, Palieva NV, et al. Vestnik AGU 2019; 1(236): 38-46.

Chackaja AV, Gnezdickij VV, Korepina OS, Tanashjan MM. Zhurn nevrologiї іm. B.M. Man’kovs’kogo 2013; 1: 69-77.

Chackaja AV. Vegetativnye i kognitivnye funkcii pricerebrovaskuljarnyh zabo-levanijah na fone metabolicheskogo

sindroma (kliniko-nejrofiziologicheskoe issledovanie),Moskva, 2016: 36 p.

Zenkov LR, Ronkin MA. Funkcional’naja diagnostika nervnyh boleznej : rukovodstvo dlja vrachej, Moskva,2013: 488 p.

Zhirmunskaja EA, Losev VS. Sistemy opisanija i klassifiuvcija jelektroencefa-logramm cheloveka, Moskva,1984: 80 p.

Zhirmunskaja EA. V poiskah ob#jasnenija fenomenov JeJeG, Moskva, 1995: 117 p.

Babiloni C, Carducci F, Lizio R, et al. Hum Brain Mapp 2013;34(6): 1427-1446. doi: http://doi.org/10.1002/hbm.22005.

Sheorajpanday RV, Nagels G, Weeren AJ, et al. Clin Neurophysiol 2010; 121(10): 1719-1725. doi: http://doi.org/10.1016/j.clinph.2009.10.037.

Jurshevich EA, Evstigneev VV. Zdravoohranenie 2002;4: 8-13.

Sheorajpanday RV, Nagels G, Weeren AJ, et al. Clin Neurophysiol 2011; 122(5): 874-883. doi: http://doi.org/10.1016/j.clinph.2010.07.028.

Evstigneev VV, Jurshevich EA. Medicinskaja panorama 2008; 7: 42-44.

Downloads

Published

2021-06-30

How to Cite

Pisotska, O. V., Nikishkova, I. M., & Pisotska, K. O. (2021). PECULIARITES OF THE BRAIN BIOELECTRICAL ACTIVIT Y IN PATIENTS WITH METABOLIC SYNDROME. Problems of Endocrine Pathology, 74(4), 83-91. https://doi.org/10.21856/j-PEP.2020.4.11

Issue

Section

CLINICAL ENDOCRINOLOGY