

Gamma activity of the brain in patients with hemisphere ischemic stroke
https://doi.org/10.30629/2658-7947-2025-30-2-32-36
Abstract
Objective. The aim of the study was to investigate gamma activity in patients with hemispheric ischemic stroke (HIS) in the acute and subacute periods in correlation with cognitive and anxiety-depressive disorders.
Material and methods. The study included 32 patients with hemispheric ischemic stroke. All patients underwent comprehensive clinical, neurological, instrumental and laboratory studies. EEG was recorded on the 1st and 21st days of the disease for 20 minutes. EEG was analyzed visually and by mathematical analysis. The method of mathematical analysis was used to estimate the average values of the gamma rhythm power spectrum in the range of 30-45, 50–70 and 80–100 Hz for all leads and the peak frequency of the γ rhythm of the background EEG.
Results. Mathematical analysis of bioelectrical activity (BEA) of the brain of patients with HIS showed deviations in gamma rhythm indices in the range of 30–100 Hz, in comparison with the control group. Statistically significant correlations were established between cognitive, anxiety-depressive disorders and the gamma rhythm index in the frontal and central-temporal areas in the frequency range of 30–100 Hz.
Conclusion. Mathematical analysis of BEA of the brain along with clinical and neuropsychological studies is recommended for use in identifying cognitive and emotional (anxiety-depressive) disorders in patients with HIS in the in the acute and subacute periods.
About the Authors
L. B. NovikovaRussian Federation
Ufa
K. M. Ziultsle
Russian Federation
Ufa
References
1. Bushov Yu.V. The role of phase interactions between high and low frequency EEG rhythms in cognitive processes and mechanisms of consciousness. Siberian Psychological Journal. 2012;(45):98–103. (In Russ.)
2. Bushov Yu.B., Svetlik M.V., Krutenkova E.P. Correlation of intelligence and accuracy of time perception with high-frequency electrical activity of the brain. Bulletin of Tomsk State Pedagogical University. 2009;2(80): 91– 95. (In Russ.)
3. Sorokina N.D., Pertsov S.S., Selitsky G.V. High-frequency bioelectric activity of the brain in the diagnosis of epilepsy. Epilepsy and paroxysmal conditions. 2018;10(3):006–013. doi: 10.17749/2077-8333.2018.10.3.006-013 (In Russ.)
4. Novikova L.B., Sharapova K.M., Dmitrieva O.E. High-frequency electrical activity of the brain in patients with hemispheric ischemic stroke in comparison with cognitive functions. Russian neurological journal. 2020;25(6):12–18. (In Russ.)
5. Popescu A.T., Popa D., Paré D. Coherent gamma oscillations couple the amygdala and striatum during learning. Nature Neuroscience. 2009;12(6):801–807. doi: 10.1038/nn.2305
6. Рopa D., Spolidoro M., Proville R.D., Guyon N., Belliveau L., Léna C. Functional role of the cerebellum in gamma-band synchronization of the sensory and motor cortices. Journal of Neuroscience. 2013;33(15):6552–56. doi: 10.1523/JNEURO-SCI.5521-12.2013
7. Kiroi V.N., Bakhtin O.M., Minyaeva N.R., Lazurenko D.M., Aslanyan E.V., Kiroi R.I. Electrographic correlates of inner speech. Journal of higher nervous activity. 2015;65(5):616–625. (In Russ.)
8. Osipova D., Takashina A., Oostenveld R., Fernández G., Maris E., Jensen O. Theta and gamma oscillations predict encoding and retrieval of declarative memory. Journal of Neuroscience. 2006;26(28)7523–7531; doi: 10.1523/JNEURO-SCI.1948-06.2006
9. Sorokina N.D., Selitsky G.V. Basic approaches in electrophysiological diagnostics of integrative mental activity. Functional diagnostics. 2011;3:46–48. (In Russ.)
10. Danilova NN, Khankevich AA. Gamma-rhythm in terms of distinguishing between time intervals. Moscow University Bulletin. Series 14. Psychology. 2001;1:51–64. (In Russ.)
11. Danilova N.H. The role of high-frequency rhythms of electrical activity of the brain in supporting mental processes. Psychology. Journal of the Higher School of Economics. 2006;3(2):62–72. (In Russ.)
12. Sorokina N.D., Pertsov S.S., Selitsky G.V. The role of bioelectrical activity of the brain in the gamma rhythm range in supporting mental processes. Russian Physiological Journal named E.M. Sechenova 2018:104(10):1163–1175. (In Russ.)
13. Novikova L.B., Sharapova K.M., Dmitrieva O.E. Cognitive and psychoemotional functions in patients with hemispheric ischemic stroke in comparison with a mathematical analysis of the bioelectrical activity of the brain. Neurological Bulletin. 2019;LI(3):43–50. (In Russ.)
14. Novikova L.B., Sharapova K.M., Dmitrieva O.E., Kakaulina L.N. EEG characteristics of patients with hemispheric ischemic stroke. Pharmateca. 2018;5(358):54–58. (In Russ.)
15. Bogolepova A.N., Levin O.S. Cognitive rehabilitation of patients with focal brain damage. Journal of Neurology and Psychiatry named after S.S. Korsakov. 2020;120(4):115–122. (In Russ.)
16. Bogolepova A.N. Moderate cognitive impairment in clinical practice. Therapy. 2021;7(5)(47):141–148. (In Russ.)
17. Vakhnina N.V. Diagnosis and treatment of cognitive impairment after stroke. Effective pharmacotherapy. 2019;15(34):10–18. (In Russ.)
18. Voznesenskaya T.G. Depression in cerebrovascular diseases. Medical advice. 2012;4:12–16. (In Russ.)
19. Levin O.S., Bogolepova A.N. Post-stroke motor and cognitive impairments: clinical features and modern approaches to rehabilitation. Journal of Neurology and Psychiatry named after S.S. Korsakova.2020;120(11):99–107. (In Russ.)
20. Piradov M.A., Maksimova M.Yu., Tanashyan M.M. Stroke: step-by-step instructions. Guide for doctors, 2nd ed., revised and expanded. GEOTAR-Media, 2020: 288 p. (In Russ.)
21. Magomedov R.A., Garakh Zh.V., Orekhov Yu.V., Zaitseva Yu.S., Strelets V.B. Gamma rhythm, positive and negative symptoms and cognitive dysfunction in schizophrenia. Journal of Neurology and Psychiatry. S.S.Korsakova, 2010;110:1:78–83 (In Russ.)
Review
For citations:
Novikova L.B., Ziultsle K.M. Gamma activity of the brain in patients with hemisphere ischemic stroke. Russian neurological journal. 2025;30(2):32-36. (In Russ.) https://doi.org/10.30629/2658-7947-2025-30-2-32-36