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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
Neuroinflammation Markers in Depressive Female Adolescents with Suicidal Attempts
- A. Iznak, E. Iznak, E. Damyanovich, I. Oleichik, S. Zozulya
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- Journal:
- European Psychiatry / Volume 65 / Issue S1 / June 2022
- Published online by Cambridge University Press:
- 01 September 2022, pp. S251-S252
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Introduction
Suicide is the second leading cause of death (8.5% of all deaths) in adolescents. The search for neurobiological markers of suicidal behavior seems to be highly actual. Such markers may include quantitative EEG parameters and signs of neuroinflammation that plays an important role in the pathogenesis of various mental disorders.
ObjectivesThe aim of the study was to reveal the relationships between pre-treatment clinical, EEG, and neuroimmunological parameters in depressive adolescents with suicidal attempts in their history.
Methods35 female depressive patients (all right-handed, age 16–25, mean 18,7±2.9 years old) were enrolled in the study. Total HDRS-17 scores varied from 13 to 43 (mean 27,7±8.1). Multichannel resting EEG was recorded with spectral power (SP) measurements in narrow frequency sub-bands. Functional activities of leukocyte elastase (LE) and of its antagonist α1-proteinase inhibitor (α1-PI), as neuroinflammation markers, were measured in the blood plasma. Leukocyte/inhibitory index (LII=LE/α1-PI) was calculated. Spearman’s correlations between clinical, EEG, and neuroimmunological parameters were analyzed.
ResultsSum of anxiety cluster of HDRS-17 scale (items 9, 10, 11) correlated positively (p<0.02) with LE and α1-PI values, as well as with theta1 (4-6 Hz) and theta2 (6-8 Hz) SP in EEG leads of the right hemisphere. In turn, α1-PI values correlated negatively and LII values correlated positively with alpha3 (11-13 Hz) SP in majority of EEG leads.
ConclusionsThe data obtained confirm the contribution of neuroinflammation to clinical conditions, especially to anxiety level, and to EEG pattern in depressive female adolescents with suicidal attempts. The study supported by RBRF grant No.20-013-00129a.
DisclosureNo significant relationships.
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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- 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.
EEG Markers of Suicidal Ideation in Depressive Female Adolescents
- A. Iznak, E. Iznak, T. Medvedeva, E. Damyanovich, I. Oleichik
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- Journal:
- European Psychiatry / Volume 65 / Issue S1 / June 2022
- Published online by Cambridge University Press:
- 01 September 2022, p. S182
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Introduction
Timely detection of suicidal thoughts is one of the ways to prevent suicide. Use the psychiatric interview only for this purpose in adolescents is often insufficient due to poor compliance. Thus, the search for objective neurophysiological markers of suicidal ideation in adolescents seems to be actual.
ObjectivesThe aim of the study was to reveal the relationships between pre-treatment EEG parameters and intensity of suicidal ideation in depressive female adolescents.
Methods72 female depressive patients (all right-handed, age 16–25, mean 18,2±2.6 years old) were enrolled in the study. Pre-treatment total HDRS-17 scores varied from 13 to 43 (mean 26,9±7.5). Multichannel eyes closed EEG was recorded, and absolute spectral power was calculated in 8 narrow frequency sub-bands. All patients answered the inventory on intensity of suicidal thoughts. Spearman’s correlations between pre-treatment EEG parameters and suicidal ideation scores were analyzed.
ResultsScores of intensity of suicidal ideation correlated positively (p<0.05÷0.01) with values of EEG alpha2 (9-11 Hz) spectral power in F7, F8, F4, C3, C4, T4, P4 and O2 EEG leads, as well as with values of EEG delta (2-4 Hz) spectral power in F7, F3 and C3 EEG leads (p<0.05).
ConclusionsThe intensity of suicidal ideation in depressive female adolescents associates with wide propagation of EEG alpha2, especially over the right hemisphere, and with EEG signs of decreased functional state of anterior regions of the left hemisphere. The study supported by RBRF grant No.20-013-00129a.
DisclosureNo significant relationships.
Eeg coherence in depressive female adolescents with different types of auto-aggressive behavior
- A. Iznak, E. Iznak, E. Damyanovich, I. Oleichik
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- Journal:
- European Psychiatry / Volume 64 / Issue S1 / April 2021
- Published online by Cambridge University Press:
- 13 August 2021, p. S829
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Introduction
Intracortical interactions reflected in EEG coherence (Coh) play an important role in the control of behavior in both norm and mental disorders. EEG Coh in depression is less than in the norm. Non-suicidal self-injuries (NSSI) are widespread in adolescents and represent a significant risk factor for consequent suicidal attempts (SA).
ObjectivesThe aim of the study was to identify the differences in EEG coherence between depressive female adolescents who have NSSI or NSSI and SA in their history compared with healthy controls.
Methods75 depressive female adolescents (16–25 years old) were enrolled in the study and divided into two subgroups: NSSI (n=38) and NSSI+SA (n=37). The control group included 20 healthy subjects (HC) matched by age and gender. Baseline EEG was recorded, and EEG coherence was analyzed in 8 narrow frequency sub-bands.
ResultsIn the NSSI subgroup, the number of “high coherent connections” (pairs of EEG leads with Coh>0.80) was the lowest in comparison with the NSSI+SA subgroup (intermediate values) and HC (the highest values) in theta-1 (4-6 Hz), theta-2 (6-8 Hz), alpha-1 (8-9 Hz) and alpha-2 (9-11 Hz) EEG frequency sub-bands, especially in frontal-central-parietal regions.
ConclusionsThe lowest EEG coherence in the NSSI subgroup suggests that this subgroup is “more depressive” than the NSSI+SA subgroup, while the NSSI+SA subgroup is “more normal” but has increased suicidal risk. The results obtained suggested the use of EEG Coh data to clarify the degree of suicidal risk in depressive adolescents with different types of auto-aggressive behavior. The study supported by RBRF grant No.20-013-00129а.
DisclosureNo significant relationships.
EEG features in depressive female adolescents with suicidal and non-suicidal auto-aggressive behavior
- E. Iznak, E. Damyanovich, I. Oleichik, N. Levchenko
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- Journal:
- European Psychiatry / Volume 64 / Issue S1 / April 2021
- Published online by Cambridge University Press:
- 13 August 2021, p. S175
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Introduction
In adolescents, both non-suicidal self-injuries (NSSI) and previous suicidal attempts (SA) represent significant risk factors for future suicide. Thus, the search for EEG markers of these forms of auto-aggressive behavior seem to be an actual task.
ObjectivesThe aim of the study was to reveal the differences of baseline EEG features in depressive female adolescents with auto-aggressive behavior such as NSSI or SA.
MethodsThe study included 45 depressive female in-patients aged 16–25 years. 21 of them showed only NSSI (NSSI subgroup), 24 patients had a history of SA (SA subgroup). Subgroups did not differ in clinical and social-demographic parameters. Baseline EEG spectral power (SP) and its asymmetry were measured.
ResultsSA subgroup had higher parietal-occipital alpha-2 (9-11 Hz) SP than NSSI subgroup. Its focus was located in the right hemisphere, and alpha-3 (11-13 Hz) SP was higher than alpha-1 (8-9 Hz). In contrary, in NSSI subgroup alpha-1 SP was higher than alpha-3; and foci of alpha-2 and alpha-3 SP were localized in the left hemisphere.
ConclusionsSpatial distribution and the ratio of EEG alpha frequency components SP in the SA subgroup reflect greater activation of brain cortex, especially of the left hemisphere that is more typical for EEG of individuals with increased risk of suicide. In NSSI subgroup, the right hemisphere is relatively more activated that is more typical for EEG in depression without SA. The study supported by RBRF grant No.20-013-00129a.
DisclosureNo significant relationships.