Сorrelations of EEG with Clinical Scores in Depressive Patients with a History of Suicide Attempts
https://doi.org/10.31550/1727-2378-2022-21-8-78-81
Abstract
Study Objective: to clarify the role of neurophysiological mechanisms in the pathogenesis of suicidal behavior in young depressed patients with a history of suicidal attempts.
Study Design: open study.
Materials and methods. The study included 35 female patients aged 16-25 years. Relationships between pre-treatment quantitative clinical scores (according to the HDRS-17 scale) and values of the absolute spectral power of the background resting EEG in narrow frequency subbands were analyzed.
Study Results. Significant negative correlations (p < 0.05) between the EEG parameters and the sum of depression cluster scores of the HDRS-17 scale indicate reduced activation of the frontal-anterotemporal cortex areas of both hemispheres (according to the values of the alpha2 EEG sub-band (9–11 Hz) spectral power in F7, F3, F4 and F8 leads), and especially, of the left anterior temporal region (according to the values of the EEG beta2 sub-band (20–30 Hz) spectral power in F7 lead). In addition, these patients are characterized by a somewhat reduced functional state of the central temporal-parietal zones of the right hemisphere in the form of significant positive correlations (p < 0.05–0.01) of the slow-wave delta (2–4 Hz), theta1 (4–6 Hz) and theta2 (6–8 Hz) EEG activity spectral power values in F4, C4, T4 and P4 leads with the sum of anxiety cluster scores of the HDRS-17 scale.
Conclusion. The results obtained make it possible to clarify the neurophysiological mechanisms of the pathogenesis of suicidal behavior in young depressive patients.
About the Authors
A. F. IznakRussian Federation
4 Kashirskoye Shosse, Moscow, 115522
E. V. Iznak
Russian Federation
4 Kashirskoye Shosse, Moscow, 115522
E. V. Damyanovich
Russian Federation
4 Kashirskoye Shosse, Moscow, 115522
I. V. Oleichik
Russian Federation
4 Kashirskoye Shosse, Moscow, 115522
References
1. World Health Organization. Preventing suicide: a global imperative. Geneva: WHO Press, 2014. 89 p.
2. Oleichik I.V. Psychopathology, typology and nosological evaluation of juvenile endogenous depressions: a clinical and follow-up study. Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova. 2011; 111(2): 10–18. (in Russian).
3. Hodgkinson S., Steyer J., Kaschka W.P., Jandl M. Electroencephalographic risk markers of suicidal behaviour. In: Kaschka W.P., Rujescu D. (eds.): Biological Aspects of Suicidal Behavior. Adv. Biol. Psychiatry. 2016; 30: 101–109. DOI: 10.1159/000434743
4. Graae F., Tenke C., Bruder G., Rotheram M.J., et al. Abnormality of EEG alpha asymmetry in female adolescent suicide attempters. Biol. Psychiatry. 1996; 40: 706–713. DOI: 10.1016/0006-3223(95)00493-9
5. Weinberg I. The prisoners of despair: right hemisphere deficiency and suicide. Neuroscience and Biobehavioral Reviews. 2000; 24(8): 799–815. DOI: 10.1016/S0149-7634(00)00038-5
6. Lapin I.A., Rogacheva T.A. Use of EEG coherence characteristics in evaluation of suicide risk in depression. Sotsial'naya i klinicheskaya psikhiatriya. 2018; 28(2): 30–38. (in Russian).
7. Iznak A.F., Iznak E.V., Damyanovich E.V., Oleichik I.V. Differences of EEG frequency and spatial parameters in depressive female adolescents with suicidal attempts and non-suicidal selfinjuries. Сlin. EEG Neurosci. 2021; 52(6): 406–413. DOI: 10.1177/1550059421991685
8. Ivanov О.V., Еgorov А.Yu. Aggression and suicidal behavior: neuropsychological aspects. Nevrologicheskiy vestnik. 2012; 44(3): 15–28. (in Russian).
9. WHO. ICD-10. International Statistical Classification of Diseases and Related Health Problems 10th Revision Classification of Mental and Behavioral Disorders. Clinical Descriptions and Diagnostic Guidance. Geneva: WHO Press. 1992. 362 p..
10. Hamilton M.Y. Psychopathology of depressions: quantitative aspects. In: Psychopathology of depression. Helsinki; 1980: 201–205.
11. Mitrofanov A.A. Computer system for analysis and topographic mapping of electrical activity of the brain with a neurometric bank of EEG data (description and application). Moscow; 2005. 63 p. (in Russian).
12. Davidson R.J. Affective style and affective disorders: Perspectives from affective neuroscience. Cognition & Emotion. 1998; 12(3): 307–330. DOI: 10.1080/026999398379628.
13. Davidson R.J., Jackson D.C., Kalin N.H. Emotion, plasticity, context, and regulation: perspectives from affective neuroscience. Psychol. Bull. 2000; 126(6): 890–909. DOI: 10.1037//0033-2909.126.6.890
14. Thibodeau R., Jorgensen R.S., Kim S. Depression, anxiety, and resting frontal EEG asymmetry: a meta-analytic review. J. Abnorm. Psychol. 2006; 115(4): 715–729. DOI: 10.1037/0021-843X.115.4.715
15. Mathersul D., Williams L.M., Hopkinson P.J., Kemp A.H. Investigating models of affect: relationships among EEG alpha asymmetry, depression and anxiety. Emotion. 2008; 8(4): 560–572. DOI: 10.1037/a0012811
16. Gross M., Nakamura L., Pascual-Leone A., Fregni F. Has repetitive transcranial magnetic stimulation (rTMS) treatment for depression improved? A systematic review and meta-analysis comparing the recent vs. the earlier rTMS studies. Acta Psychiatr. Scand. 2007; 116(3): 165–173. DOI: 10.1111/j.1600-0447.2007.01049.x
17. Lee S.M., Jang K.I., Chae J.H. Electroencephalographic correlates of suicidal ideation in the theta band. Сlin. EEG Neurosci. 2017; 48(5): 316–321. DOI: 10.1177/1550059417692083
18. Iznak E.V., Iznak A.F., Oleichik I.V., Zozulya S.A. Clinical-neurobiological correlations in female adolescents with non-suicidal self-injurious behavior. Human Physiol. 2021; 47(6): 606–611. (in Russian). DOI: 10.31857/S0131164621050052
Review
For citations:
Iznak A.F., Iznak E.V., Damyanovich E.V., Oleichik I.V. Сorrelations of EEG with Clinical Scores in Depressive Patients with a History of Suicide Attempts. Title. 2022;21(8):78-81. (In Russ.) https://doi.org/10.31550/1727-2378-2022-21-8-78-81