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.

The 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.

35 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.

Sum 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.

The 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.

No significant relationships.

Nowadays, suicide is a global public health problem thus detection of risk factors more specifically individual factors can be used as a method for prevention and intervention.

The aims of our study were to assess the incidence of suicidal recurrence and its individual associated factors.

A retrospective descriptive and analytical study was undertaken including all patients consulting for the first time at Gabes psychiatry department (in southern Tunisia) from the 4th March 2009 to the 25th September 2020 for suicidal attempt. Sociodemographic and clinical data as well as suicidal attempts’ characteristics were assessed. The statistical analysis was executed on the software SPSS (20th edition).

278 patients were collected including 217 female. The mean age was 26. Suicidal patients were unmarried (75.9%), childless (79.1%) and unemployed (47.5%). The common suicidal attempt method was voluntary drug intoxication (67.8%). Interference of individual factors was reported in 77% of cases, especially difficulties to cope with stress (46.4%), followed by low self-esteem (36.5%), personal psychiatric history (17.3%), personal medical history (8.3%) and alcohol or drug abuse (6.1%). A suicidal re-attempt was notedin 24.9 % of cases. Recurrence was associated with the female gender (72.4%), difficulties to cope with stress (<10-3) and low self-esteem (p=0.012).

After the first suicidal attempt, it’s crucial to identify the individual factors that seems to have an influence on subsequent suicidal behaviour in order to ensure a proper treatment.

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.

The 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.

The 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.

SA 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.

Spatial 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.

No significant relationships.