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EEG Correlates of suicidal intentions in depressive patients who survived and have not been ill with COVID-19
- A. F. Iznak, E. V. Iznak, E. V. Damyanovich
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- Journal:
- European Psychiatry / Volume 66 / Issue S1 / March 2023
- Published online by Cambridge University Press:
- 19 July 2023, p. S338
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Introduction
The COVID-19 pandemic has caused an increase in suicidal intentions and attempts. One of the ways to prevent suicides is the timely detection of suicidal intentions. In this regard, it seems relevant to search for objective markers of suicidal intentions.
ObjectivesThe aim of the study is to identify EEG correlates of suicidal intentions in depressive patients who survived and not have been ill with COVID-19.
MethodsThe study included 30 female patients aged 16-25 years with depressive disorders (F31.3-4, F21.3-4 + F34.0, according to ICD-10), who had previously a mild or asymptomatic coronavirus infection (group “COVID”), and 40 depressive patients, matched by sex, age, syndrome and the pre-treatment severity of depression (according to the total score of the Hamilton HDRS-17 scale), but not sick with COVID-19 (“non-COVID” group, The severity of suicidal intentions was quantified by the number of points of item 3 of the HDRS-17 scale. All patients underwent pre-treatment registration of the background EEG in a state of quiet wakefulness with eyes closed in 16 monopolar leads: F7, F3, F4, F8, T3, C3, Cz, C4, T4, T5, P3, Pz, P4, T6, O1 and O2. The analysis of the absolute EEG spectral power (SP) was carried out in 8 narrow frequency sub-bands. Statistical processing of the data obtained was carried out using the methods of descriptive statistics, comparison of means and correlation analysis of the IBM SPSS Statistics, v.22 software package.
ResultsIn the “COVID” group, the mean number of points of item 3 of the HDRS-17 scale was slightly higher than in the “non-COVID” group (2.1 ± 1.5 and 1.8 ± 1.6, respectively), but these differences did not reach the level of statistical significance (p> 0.05). However, the structure of correlations between the values of this indicator of the severity of suicidal intentions and EEG parameters in the two groups turned out to be different. In the “COVID” group, the largest number of significantly (p<0.05) positive correlation coefficients was noted between the number of points of item 3 of the HDRS-17 scale and the SP values of slow-wave EEG components, e.g. theta2 sub-band (6-8 Hz) in leads F7, F3, F4, F8, T4, C3, C4, P3 and P4, as well as the delta sub-band (2-4 Hz) in leads F7 and P4. In the “non-COVID” group, the number of points of item 3 of the HDRS-17 scale positively correlated with the SP values of the alpha2 sub-band (9-11 Hz) in leads F7, F8, F4, C3, C4, T4, P4 and O2, as well as with SP values of the delta sub-band (2-4 Hz) in leads F7, F3 and C3.
ConclusionsIn depressive patients who underwent COVID-19, the severity of suicidal intentions is associated with EEG signs of a more reduced functional state of the cerebral cortex, including the anterior regions, than in patients who did not have coronavirus infection.
The study supported by the RSF grant No. 21-18-00129.
Disclosure of InterestNone Declared
Relationships of eeg and immunological parameters in depressive patients who survived COVID-19
- A. F. Iznak, E. V. Iznak, E. V. Damyanovich, S. A. Zozulya, I. V. Oleichik
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- Journal:
- European Psychiatry / Volume 66 / Issue S1 / March 2023
- Published online by Cambridge University Press:
- 19 July 2023, pp. S337-S338
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Introduction
Coronavirus infection affects the CNS and modulates the immune system. The associated processes of neuroplasticity play an important role in the pathogenesis of depression.
ObjectivesThe aim of the study is to identify the relationships between EEG and immunological parameters in depressive patients who recovered from coronavirus infection, in order to clarify the features of neuroimmune interaction after suffering COVID-19.
Methods30 female patients aged 16-25 enrolled in the study were admitted for treatment during the pandemic in 2020-2022 (“COVID” group). Previously, they had been ill with COVID-19 in a mild or asymptomatic forms on a background of depressive state (F31.3-4, F21.3-4 + F34.0, according to ICD-10) from 3 months to 2 years before the examination.
All patients underwent pre-treatment multichannel background EEG recordings in a state of quiet wakefulness with eyes closed and analysis of the absolute EEG spectral power (SP) in 8 narrow frequency sub-bands.
As well, markers of neuroplasticity ─ the levels of autoantibodies to the S100b protein (AAT-S100b) and to the myelin basic protein (AAT-MBP) were measured in each patient’s blood plasma using the laboratory technology “Neuro-immuno-test”.
The EEG and immunological parameters of the “COVID” group were compared with similar data of 40 depressive patients who were treated in 2018-2019, that is, they did not have COVID-19 (“pre-COVID” group), but matched by sex, age, syndrome structure, as well as the pre-treatment severity of depression (according to the HDRS-17 scale) to patients of the “COVID” group.
Statistical analysis of the data obtained was carried out by the correlation analysis method of the IBM SPSS Statistics, v.22 software package.
ResultsIn the “COVID” group, the AAT-S100b level valuespositively correlated with the EEG delta sub-band (2-4 Hz) SP valuesin T3, T4, P4, and O1 leads. The values of the AAT-MBP level correlated with the SP values of delta (2-4 Hz) and theta1 (4-6 Hz) EEG sub-bands in C3, T4, P3, P4, O1, and O2 leads. In the “pre-COVID” group, the values of the AAT-S100b level correlated positively with the SP values of not slow-wave, but alpha2 (9-11 Hz) and alpha3 (11-13 Hz) EEG activity in T3, P3, O1, and O2 leads.
ConclusionsPositive correlations of the AAT-S100b level with alpha2 and alpha3 SP values indicate that in the “before COVID” group, the AAT-S100b level reflects rather the reparative processes of neuroplasticity. On the contrary, in the “COVID” group, positive correlations of the AAT-S100b and of the demyelination marker AAT-MBP levels with the SP values of slow-wave (delta and theta1) EEG frequency components, reflecting a reduced brain functional state, indicate that elevated levels of AAT-S100b and AAT-MBP in this group are markers of nerve tissue damage caused by coronavirus infection.
The study supported by the Russian Science Foundation (grant No. 21-18-00129).
Disclosure of InterestNone Declared
EEG CORRELATES OF SOMATIC DISORDERS IN DEPRESSIVE PATIENTS WHO SURVIVED AND HAVE NOT BEEN ILL WITH COVID-19
- A. F. Iznak, E. V. Iznak, E. V. Damyanovich
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- Journal:
- European Psychiatry / Volume 66 / Issue S1 / March 2023
- Published online by Cambridge University Press:
- 19 July 2023, pp. S777-S778
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Introduction
Coronavirus infection is accompanied by the development of a wide range of neuropsychiatric and somatic complications.
ObjectivesThe aim of the study is to assess the severity of somatic disorders and to identify their EEG correlates in depressive patients who had and did not have COVID-19.
MethodsThe study involved 30 female depressive patients (F31.3-4, F21.3-4 + F34.0, according to ICD-10), aged 16-25 years, who previously had a mild or asymptomatic coronavirus infection (group "COVID”), and 40 depressive patients matched in gender, age and syndrome structure to patients of the “COVID” group, but who did not have COVID-19 (“non-COVID” group). The pre-treatment severity of depressive symptoms was assessed by the total sum, and by sums of clusters: depression (items 1, 2, 3, 7, 8), anxiety (items 9, 10, 11), sleep disorders (items 4, 5 , 6) and somatic disorders (items 12, 13, 14) of HDRS-17 scale. All patients underwent pre-treatment multichannel (16 leads) recordings of the background EEG followed by analysis of the absolute EEG spectral power (SP) in 8 narrow frequency sub-bands. Statistical analysis of the data was carried out using the methods of descriptive statistics and correlation analysis of the IBM SPSS Statistics, v.22 software package.
ResultsThe values of the total sums of scores of individual clusters (depression, anxiety, sleep disorders) of the HDRS-17 scale in the “COVID” and “non-COVID” groups did not differ statistically. The exception was a significantly higher (p>0.01) number of complaints of somatic disorders (weakness, heaviness and pain in the muscles, a feeling of loss of energy, loss of strength, decreased libido) in patients who had COVID compared to those who did not (2.4±1.0 and 1.4±1.1 points, respectively). In the “non-COVID” group, the HDRS-17 somatic disorder cluster scores positively correlated with SP values of beta2 EEG (20–30 Hz) in leads F3, F8, and P3. which reflects the increased activation of brain stem structures, characteristic for depressive conditions. In the “COVID” group, these scores correlated with the SP values of alpha3 (11-13 Hz, in leads F4, F8, C4 and T4) and beta2 (20-30 Hz, in C4) not positively, but negatively. Thus, the severity of somatic complaints in patients of this group is associated not with greater, but with less activation of the brain (in particular, of the right hemisphere), which, presumably, may be associated with the “exhaustion” of the central mechanisms of regulation of autonomic functions after suffering COVID disease.
ConclusionsCOVID (in a mild or asymptomatic form) did not show a significant effect on the overall severity of depression of the studied group of patients who recovered from COVID, with the exception of a significantly greater severity of their somatic complaints compared to the group of patients who had not been ill with COVID. The study supported by the RSF grant No. 21-18-00129.
Disclosure of InterestNone Declared
EEG Features in Adolescent Patients with Borderline and Narcissistic Personality Disorder
- A. Iznak, E. Iznak, E. Damyanovich, E. Krylova, A. Kuleshov, V. Kaleda
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- Journal:
- European Psychiatry / Volume 65 / Issue S1 / June 2022
- Published online by Cambridge University Press:
- 01 September 2022, p. S373
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Introduction
Personality disorders (PD) in adolescence are widespread. It creates problems of social adaptation of patients and represents significant risk factors for auto-aggressive behavior, including suicidal one. The neurobiological basis and EEG markers of PD in adolescence have not been adequately studied.
ObjectivesThe aim of the study was to reveal the EEG features and their correlations with clinical parameters in male adolescents with borderline personality disorder (BPD) and narcissistic personality disorder (NPD), possibly mediating some aspects of their clinical traits.
Methods28 BPD patients (301.83, by DSM-5) and 24 NPD patients (301.81, by DSM-5), as well as 24 healthy controls (HC) aged 16-25 years were enrolled in the study. HDRS-21 and HAM-A scales were used for quantitative assessment of patient’s conditions. Pre-treatment resting EEG was recorded, and EEG spectral analysis was carried out in 8 narrow frequency sub-bands. Descriptive statistics and correlation analysis of EEG and clinical data were performed.
ResultsEEG spectral parameters in BPD group did not differ significantly from those of HC. NPD group shows the EEG signs of more activated brain cortex than in both BPD and norm groups caused by decreased functional state of the anterior cortical regions. The structure of correlations between EEG parameters and clinical scores also differed between BPD and NPD groups.
ConclusionsThe data obtained suggests that these features of the brain activity may contribute to the disturbance of emotion regulation and of behavior control in adolescent patients with BPD and NPD, more pronounced in NPD group.
DisclosureNo significant relationships.