Research output: Contribution to journal › Article › peer-review
EEG reactions under recognition of emotional sentences about self- and others as the markers of inclination to depression. / Savostyanov, A.; Bocharov, A.; Tamozhnikov, S. et al.
In: International Journal of Psychophysiology, Vol. 188, 2023, p. 104.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - EEG reactions under recognition of emotional sentences about self- and others as the markers of inclination to depression
AU - Savostyanov, A.
AU - Bocharov, A.
AU - Tamozhnikov, S.
AU - Saprygin, A.
AU - Lebedkin, D.
AU - Karpova, A.
AU - Vergunov, E.
AU - Knyazev, G.
PY - 2023
Y1 - 2023
N2 - The aim of study was to identify markers of predisposition to depression through analysis of EEG reactions in response to emotional sentences about themselves and others in non-clinical participants. We have collected a dataset, including the results of the survey of 870 non-clinical subjects (mean age 29.6±8.5 years, 392 men and 478 women). Participants lived in different regions of Russia (Novosibirsk region, Altai, Tuva, Yakutia and Buryatia) and belonged to different ethnic groups.Predisposition to depression was assessed using the A. Beck inventory. In addition, participants were tested using the State-Trait Anxiety Inventory of Ch. Spielberger and Big-Five Personality Profile of L. Goldberg. In the EEG experiment, participants had to find a grammatical error in written sentences. The sentences described various emotionally negative states (such as fear, anxiety, aggression) of the subject himself/herself or other people. For all subjects, this task was given in Russian. In addition, approximately 30% of participants were additionally tested in the national (Yakut or Tuvan) languages. The EEG was recorded using a NVX132 amplifier (128 EEG + VEOG + ECG channels). In 20% of participants, in addition to EEG, a video of facial expressions was recorded. Event-related spectral perturbations (ERSPs) have been used as markers of depression, personal anxiety, neuroticism, and extraversion. The study controlled for such factors as sex, age, region of residence and ethnicity of the subjects.The scores of predisposition to depression were positively correlated with the theta-synchronization indices in the frontal cortex in response to sentences about one's own fear and someone else's aggression, but depression estimates had a negative correlation with theta-synchronization when recognizing sentences about other people's fear and anxiety. Extraversion showed a positive correlation with theta-synchronization when reading sentences about someone else's fear and anxiety. Indicators of neuroticism and anxiety positively correlated with alpha/beta desynchronization in fronto-parietal medial cortex when recognizing emotionally negative sentences about other people. Sex, age and ethnicity had a modulating effect on the relationship between predisposition to depression and theta-synchronization. When adding behavioral indicators (speed of error search, facial expressions during reading) to the statistical model, the correlation between EEG indicators and the severity of depression increased significantly.In conclusion, EEG and behavioral responses when reading emotionally negative sentences to self- and others can be used to identify neurophysiological markers of depression and associated personality properties, such as neuroticism or trait anxiety. The study was supported by grant № 22-15-00142 of Russian Science Foundation.
AB - The aim of study was to identify markers of predisposition to depression through analysis of EEG reactions in response to emotional sentences about themselves and others in non-clinical participants. We have collected a dataset, including the results of the survey of 870 non-clinical subjects (mean age 29.6±8.5 years, 392 men and 478 women). Participants lived in different regions of Russia (Novosibirsk region, Altai, Tuva, Yakutia and Buryatia) and belonged to different ethnic groups.Predisposition to depression was assessed using the A. Beck inventory. In addition, participants were tested using the State-Trait Anxiety Inventory of Ch. Spielberger and Big-Five Personality Profile of L. Goldberg. In the EEG experiment, participants had to find a grammatical error in written sentences. The sentences described various emotionally negative states (such as fear, anxiety, aggression) of the subject himself/herself or other people. For all subjects, this task was given in Russian. In addition, approximately 30% of participants were additionally tested in the national (Yakut or Tuvan) languages. The EEG was recorded using a NVX132 amplifier (128 EEG + VEOG + ECG channels). In 20% of participants, in addition to EEG, a video of facial expressions was recorded. Event-related spectral perturbations (ERSPs) have been used as markers of depression, personal anxiety, neuroticism, and extraversion. The study controlled for such factors as sex, age, region of residence and ethnicity of the subjects.The scores of predisposition to depression were positively correlated with the theta-synchronization indices in the frontal cortex in response to sentences about one's own fear and someone else's aggression, but depression estimates had a negative correlation with theta-synchronization when recognizing sentences about other people's fear and anxiety. Extraversion showed a positive correlation with theta-synchronization when reading sentences about someone else's fear and anxiety. Indicators of neuroticism and anxiety positively correlated with alpha/beta desynchronization in fronto-parietal medial cortex when recognizing emotionally negative sentences about other people. Sex, age and ethnicity had a modulating effect on the relationship between predisposition to depression and theta-synchronization. When adding behavioral indicators (speed of error search, facial expressions during reading) to the statistical model, the correlation between EEG indicators and the severity of depression increased significantly.In conclusion, EEG and behavioral responses when reading emotionally negative sentences to self- and others can be used to identify neurophysiological markers of depression and associated personality properties, such as neuroticism or trait anxiety. The study was supported by grant № 22-15-00142 of Russian Science Foundation.
UR - https://www.mendeley.com/catalogue/e3360970-2b12-31ab-9898-9e8e84767a55/
U2 - 10.1016/j.ijpsycho.2023.05.267
DO - 10.1016/j.ijpsycho.2023.05.267
M3 - Article
VL - 188
SP - 104
JO - International Journal of Psychophysiology
JF - International Journal of Psychophysiology
SN - 0167-8760
ER -
ID: 68328782